Developer docs
API playgroundTry for free, no card

Search company profiles

Quantitative Bioscience Institute

Full company profile

uuid002jiqi

Namestring
Quantitative Bioscience Institute
Legal namestring
Quantitative Biosciences Institute
Websiteurl
qbi.ucsf.edu
Company typeenum
Private
Founded yearint
2016
Descriptiontext

QBI is an Organized Research Unit within the University of California, San Francisco (UCSF) School of Pharmacy, founded on March 16, 2016 as an evolution of the Molecular Design Institute established in 1993. The institute pursues disease-agnostic, quantitative biology research using an integrated technology stack that includes protein-protein interaction (PPI) mapping, cryo-EM/ET and mass spectrometry, CRISPR functional genomics, microfluidics, structural modeling, and AI/ML-driven target discovery. QBI organizes its scientific program around three Cell Map Initiatives: the Cancer Cell Map Initiative (CCMI), the Psychiatric Cell Map Initiative (PCMI), and the Host-Pathogen Cell Map Initiative (HPMI). Its most consequential scientific output to date is the systematic SARS-CoV-2 human protein interaction map produced by the QBI Coronavirus Research Group (QCRG) in 2020, which identified 69 drug candidates and advanced 27 into clinical trials.

QBI serves a diverse set of constituencies rather than commercial customers. Its primary "customer segments" are academic researchers and institutions seeking access to advanced platforms and interdisciplinary collaboration; biotechnology and pharmaceutical companies seeking novel drug targets and translational partnerships; and graduate students, postdocs, and early-career scientists supported through the QBI Fellowship Program, QBI Y.E.S. (Youth.Excellence.Science) Fellowship, internship, and sabbatical programs. Government and public health organizations are a secondary segment, particularly for pandemic preparedness and early-warning research. The institute also engages a developer community through the QBI Hackathon program, which pairs Bay Area engineers with UCSF, UC Berkeley, and UC Santa Cruz scientists on AI/ML-driven biomedical problems.

QBI does not sell products or services and has no disclosed revenue. As a non-profit academic ORU, it is funded through UCSF institutional support, federal and state grants (including QBI-administered RFA grant programs), industry partnerships, and affiliated foundations. Outputs are distributed via academic collaborations, industry partnerships, spinout companies (notably Rezo Therapeutics, spun out from CCMI in 2025), training programs, scientific publications, and public events. The 2026-launched QBI Translation framework formalizes the pipeline from basic discovery through affiliated companies and foundation support. QBI is led by founding Director Nevan J. Krogan, with Chief Strategy Officer John A.T. Young (ex-Roche) and Chief Science and Technology Officer Andy Kilianski (ex-ARPA-H) joining in mid-2026 to expand industry engagement and commercialization.

Short descriptiontext

QBI is an Organized Research Unit within UCSF's School of Pharmacy that applies quantitative biology, proteomics, structural biology, CRISPR, and AI/ML to map protein-protein interactions across cancer, psychiatric, and infectious diseases, serving academic researchers, biotech and pharma partners, and trainees through collaborative research and affiliated spinouts.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersSan Francisco, United States
HQ citystring
San Francisco
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
biomedical research services, protein interaction mapping, drug target discovery, structural biology platforms, academic translational research
Industry3 codes
1AI/ML-Enabled Biologic Discovery Platforms (computational design, in silico screening)
CodeHLAAAIAEPrimaryYes
2Multiplex & High-Throughput Diagnostics Platforms (microarrays, digital PCR, lab automation-enabled assays)
CodeHLAAALALPrimaryNo
3Synthetic Biology & Genetic Circuit Design Platforms (pathway engineering, chassis development)
CodeHLAAAIADPrimaryNo
NAICS code3 codes
  • Research and Development in Biotechnology (except Nanobiotechnology)541714
  • Scientific Research and Development Services5417
  • Research and Development in the Physical, Engineering, and Life Sciences54171
SIC code1 code
  • Services-Commercial Physical & Biological Research8731
Product category
Academic Biomedical Research
Marketing channels11 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales
GTM typeB2B
B2B
Offering typeServices
Services
Brand1 of 3 records shown
1QBI Y.E.S.
Description

Youth.Excellence.Science Fellowship - a program for students from underprivileged backgrounds to learn about discovery research and career opportunities in STEM

qbi.ucsf.edu
+2 more records
Core offering1 text field

The Quantitative Bioscience Institute (QBI) is an academic research institute within UCSF's School of Pharmacy that conducts quantitative and interdisciplinary bioscience research to understand disease mechanisms and enable drug discovery. QBI operates multiple Cell Mapping Initiatives (Cancer, Psychiatric, and Host-Pathogen), maintains technology platforms spanning cryo-EM/ET, mass spectrometry, CRISPR, and AI/ML, and runs training programs including fellowships and hackathons to support early-career scientists. The institute bridges academic discovery with therapeutic development through industry partnerships and spinout companies.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • 27 drug candidates advanced to clinical trials from COVID-19 protein interaction mapping research
+2 more records
Product overview1 text field

The Quantitative Biosciences Institute (QBI) is an organized research unit within UCSF's School of Pharmacy that operates as a research institute rather than a product company. QBI's offerings include multiple Cell Mapping Initiatives (Cancer Cell Map Initiative, Psychiatric Cell Map Initiative, Host-Pathogen Cell Map Initiative), technology platforms (cryo-EM/ET, mass spectrometry, CRISPR, microfluidics, structural modeling), training programs (Fellowship Program, Y.E.S. Fellowship, Internship Program, Hackathon), and spinout companies including Rezo Therapeutics. The institute bridges academia and industry through an integrated translational pipeline designed to connect basic discovery with therapeutic development.

Product and service4 records
1Cancer Cell Map Initiative (CCMI)
CategoryResearch Program
Description

A cell mapping research program focused on understanding protein-protein interactions in cancer to systematically identify new therapeutic targets and disease mechanisms.

2Psychiatric Cell Map Initiative (PCMI)
CategoryResearch Program
Description

A cell mapping research program focused on understanding protein-protein interactions in psychiatric disorders to identify novel therapeutic targets and disease mechanisms.

3Host-Pathogen Cell Map Initiative (HPMI)
CategoryResearch Program
Description

A cell mapping research program focused on understanding how pathogens interact with host cells at the protein level to inform infectious disease research and pandemic preparedness.

4QBI Fellowship Program
Scale indicator4 records

Each record includes

Type, Value, Description, Source

Partnership12 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-12-08
Description

MOU signed on December 8, 2025 to launch a cross-border collaboration focused on the convergence of artificial intelligence and human health. The partnership includes joint events, research collaborations, and exchange programs between QBI at UCSF and the University of Alberta, with involvement from the Alberta Machine Intelligence Institute (Amii).

2Systems Biology Ireland (SBI) at University College Dublin
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2023-12-21
Description

Partnership through the QBI-SBI Collaborative Network Biology and Drug/Drug Target Discovery RFA, supporting joint research in network biology and drug discovery.

qbi.ucsf.edu
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2020-11-01
Description

Partnership with TAU's Edmond J. Safra Center for Bioinformatics and Blavatnik Center for Drug Discovery through the QBI-TAU Computational Biology and Drug Discovery RFA.

4PSL-Qlife Institute at Institut Curie, Paris
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2020-05-01
Description

International collaborative partnership through the QBI-QLIFE Quantitative Approaches RFA, supporting joint research in quantitative biology between UCSF and Paris institutions.

qbi.ucsf.edu
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2019-11-09
Description

International collaborative partnership through the QBI-FUB Integrative Structural Biology RFA, supporting joint pilot projects in structural biology research.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Co-host of the 'Blueprints of Tomorrow: AI & Human Health' event with QBI and University of Alberta. Amii brings Alberta's leadership in artificial intelligence to strengthen the collaboration's technical capabilities.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Partnership through the Institut Pasteur-UCSF QBI Center for Emerging Infectious Diseases. Includes the Faculty Mini-Sabbatical Program for one- to three-month exchanges between institutions, focusing on pandemic preparedness research.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Biotechnology spinout company from QBI's Cancer Cell Map Initiative. Rezo advances precision therapies through disease network mapping using technology from QBI's platform.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Collaborative research partner on multiple studies including HIV research and coronavirus protein interaction mapping. Nevan Krogan serves as senior investigator at Gladstone while directing QBI.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

QB3 campus partner collaborating on hackathon events and joint research initiatives. Scientists from UCB participate in QBI hackathons and collaborative projects.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

QB3 campus partner collaborating on hackathon events and joint research initiatives. Scientists from UCSC participate in QBI hackathons and collaborative projects.

12Consulate General of Canada in San Francisco
Strategic tierMinorTypeGTM or Marketing Partner
Description

Supported the 'Blueprints of Tomorrow: AI & Human Health' event and hosted reception following the MOU signing between QBI and University of Alberta.

qbi.ucsf.edu
Recent move7 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

Large-scale academic-affiliated biomedical research organization with deep capabilities in genomics, proteomics, chemical biology, and therapeutic translation. Operates a broader portfolio but shares QBI's disease-agnostic, platform-driven discovery philosophy.

TypeDirect peer
Description

AI-enabled generative biology platform focused on novel protein therapeutics; comparable in its use of structural biology and generative AI to design protein-based interventions, similar to QBI's protein-centric discovery mandate.

TypeDirect peer
Description

AI/ML-driven drug discovery company combining high-throughput wet-lab biology with computational target identification. Closely comparable to QBI in mission (data-rich, biology-first discovery) though operating as a commercial entity rather than academic institute.

TypeEmerging player
Description

Spinout of QBI's Cancer Cell Map Initiative using disease network mapping to advance precision therapies. A natural peer as the first commercial embodiment of QBI's platform technology.

TypeDirect peer
Description

MACHINE-learning driven drug discovery platform integrating genomics, proteomics, and CRISPR functional genomics — directly overlapping QBI's technology stack (CRISPR, proteomics, AI/ML for target discovery).

TypeDirect peer
Description

Independent research institute combining computational and experimental biology with a focus on complex disease and AI-driven science; analogous academic-style model with disease-agnostic scope and industry partnership ambition.

TypeDirect peer
Description

AI-driven small-molecule drug discovery company using structure-based deep learning. Comparable in its use of AI/ML for target identification and partnership-driven commercialization model, though focused on small molecules rather than protein-protein interaction mapping.

TypeDirect peer
Description

UCSF-affiliated independent research organization focused on disease-focused biomedical discovery. Directly comparable as a neighboring UCSF institute with overlapping senior investigators (Krogan) and complementary disease programs.

TypeRegional player
Description

Intergovernmental research organization for molecular life sciences, with strong structural biology, proteomics, and computational biology programs. Highly comparable platform capabilities but operates in Europe rather than the US.

TypeDirect peer
Description

Academic institute using computational protein design, structural biology, and AI/ML to engineer novel proteins; comparable in scope and methodology to QBI's cryo-EM and protein structure prediction capabilities.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks4 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile4 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability9 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature5 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles3 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

Subsidiaries1 record

Each record includes

Name, Acquired on, Relationship type, Type, Business focus

No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Quantitative Bioscience Institute

Academic Biomedical Researchqbi.ucsf.edu

QBI is an Organized Research Unit within UCSF's School of Pharmacy that applies quantitative biology, proteomics, structural biology, CRISPR, and AI/ML to map protein-protein interactions across cancer, psychiatric, and infectious diseases, serving academic researchers, biotech and pharma partners, and trainees through collaborative research and affiliated spinouts.

What Quantitative Bioscience Institute does

QBI is an Organized Research Unit within the University of California, San Francisco (UCSF) School of Pharmacy, founded on March 16, 2016 as an evolution of the Molecular Design Institute established in 1993. The institute pursues disease-agnostic, quantitative biology research using an integrated technology stack that includes protein-protein interaction (PPI) mapping, cryo-EM/ET and mass spectrometry, CRISPR functional genomics, microfluidics, structural modeling, and AI/ML-driven target discovery. QBI organizes its scientific program around three Cell Map Initiatives: the Cancer Cell Map Initiative (CCMI), the Psychiatric Cell Map Initiative (PCMI), and the Host-Pathogen Cell Map Initiative (HPMI). Its most consequential scientific output to date is the systematic SARS-CoV-2 human protein interaction map produced by the QBI Coronavirus Research Group (QCRG) in 2020, which identified 69 drug candidates and advanced 27 into clinical trials.

QBI serves a diverse set of constituencies rather than commercial customers. Its primary "customer segments" are academic researchers and institutions seeking access to advanced platforms and interdisciplinary collaboration; biotechnology and pharmaceutical companies seeking novel drug targets and translational partnerships; and graduate students, postdocs, and early-career scientists supported through the QBI Fellowship Program, QBI Y.E.S. (Youth.Excellence.Science) Fellowship, internship, and sabbatical programs. Government and public health organizations are a secondary segment, particularly for pandemic preparedness and early-warning research. The institute also engages a developer community through the QBI Hackathon program, which pairs Bay Area engineers with UCSF, UC Berkeley, and UC Santa Cruz scientists on AI/ML-driven biomedical problems.

QBI does not sell products or services and has no disclosed revenue. As a non-profit academic ORU, it is funded through UCSF institutional support, federal and state grants (including QBI-administered RFA grant programs), industry partnerships, and affiliated foundations. Outputs are distributed via academic collaborations, industry partnerships, spinout companies (notably Rezo Therapeutics, spun out from CCMI in 2025), training programs, scientific publications, and public events. The 2026-launched QBI Translation framework formalizes the pipeline from basic discovery through affiliated companies and foundation support. QBI is led by founding Director Nevan J. Krogan, with Chief Strategy Officer John A.T. Young (ex-Roche) and Chief Science and Technology Officer Andy Kilianski (ex-ARPA-H) joining in mid-2026 to expand industry engagement and commercialization.

Quantitative Bioscience Institute firmographics

Firmographics
Name
Quantitative Bioscience Institute
Legal name
Quantitative Biosciences Institute
Website
https://qbi.ucsf.edu
Company type
Private
Founded year
2016
Operating status
Operating
Headcount range
11–50 employees
Short description
QBI is an Organized Research Unit within UCSF's School of Pharmacy that applies quantitative biology, proteomics, structural biology, CRISPR, and AI/ML to map protein-protein interactions across cancer, psychiatric, and infectious diseases, serving academic researchers, biotech and pharma partners, and trainees through collaborative research and affiliated spinouts.
Ownership category
akta.pro rank

Quantitative Bioscience Institute industry classification

Industry
Product category
Academic Biomedical Research
NAICS
Research and Development in Biotechnology (except Nanobiotechnology) (541714), Scientific Research and Development Services (5417), Research and Development in the Physical, Engineering, and Life Sciences (54171)
SIC
Services-Commercial Physical & Biological Research (8731)
akta.pro primary industry
AI/ML-Enabled Biologic Discovery Platforms (computational design, in silico screening) (HLAAAIAE)
akta.pro secondary industries
Multiplex & High-Throughput Diagnostics Platforms (microarrays, digital PCR, lab automation-enabled assays) (HLAAALAL), Synthetic Biology & Genetic Circuit Design Platforms (pathway engineering, chassis development) (HLAAAIAD)

Keywords

  • Biomedical research services
  • Protein interaction mapping
  • Drug target discovery
  • Structural biology platforms
  • Academic translational research

Where Quantitative Bioscience Institute is headquartered

Location

Headquarters

HQ city
San Francisco
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Quantitative Bioscience Institute business model

Business model
GTM type
B2B
Offering type
Services
Cost components
Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales

Distribution channels4 records

Marketing channels11 records

Quantitative Bioscience Institute product offering

Product offering

Core offering

The Quantitative Bioscience Institute (QBI) is an academic research institute within UCSF's School of Pharmacy that conducts quantitative and interdisciplinary bioscience research to understand disease mechanisms and enable drug discovery. QBI operates multiple Cell Mapping Initiatives (Cancer, Psychiatric, and Host-Pathogen), maintains technology platforms spanning cryo-EM/ET, mass spectrometry, CRISPR, and AI/ML, and runs training programs including fellowships and hackathons to support early-career scientists. The institute bridges academic discovery with therapeutic development through industry partnerships and spinout companies.

Product overview

The Quantitative Biosciences Institute (QBI) is an organized research unit within UCSF's School of Pharmacy that operates as a research institute rather than a product company. QBI's offerings include multiple Cell Mapping Initiatives (Cancer Cell Map Initiative, Psychiatric Cell Map Initiative, Host-Pathogen Cell Map Initiative), technology platforms (cryo-EM/ET, mass spectrometry, CRISPR, microfluidics, structural modeling), training programs (Fellowship Program, Y.E.S. Fellowship, Internship Program, Hackathon), and spinout companies including Rezo Therapeutics. The institute bridges academia and industry through an integrated translational pipeline designed to connect basic discovery with therapeutic development.

Differentiator

Problem solved

Functional benefit

Brands

  • QBI Y.E.S. Youth.Excellence.Science Fellowship - a program for students from underprivileged backgrounds to learn about discovery research and career opportunities in STEM
  • Institut Pasteur - UCSF QBI Center for Emerging Infectious Diseases
  • QBI Translation

Products and services

  • Cancer Cell Map Initiative (CCMI) A cell mapping research program focused on understanding protein-protein interactions in cancer to systematically identify new therapeutic targets and disease mechanisms.
  • Psychiatric Cell Map Initiative (PCMI) A cell mapping research program focused on understanding protein-protein interactions in psychiatric disorders to identify novel therapeutic targets and disease mechanisms.
  • Host-Pathogen Cell Map Initiative (HPMI) A cell mapping research program focused on understanding how pathogens interact with host cells at the protein level to inform infectious disease research and pandemic preparedness.
  • QBI Fellowship Program

Quantifiable outcome

  • 27 drug candidates advanced to clinical trials from COVID-19 protein interaction mapping research
  • +2 more outcomes

Companies that use Quantitative Bioscience Institute

Customer profile

Segments4 records

Ideal customer profiles4 records

Quantitative Bioscience Institute technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability9 records

Feature5 records

Quantitative Bioscience Institute partnerships and signals

Strategic signal

Partnerships

Twelve partnerships are on record, tiered core and minor.

  • University of AlbertacoreStrategic or Co-development Partner · 8 December 2025MOU signed on December 8, 2025 to launch a cross-border collaboration focused on the convergence of artificial intelligence and human health. The partnership includes joint events, research collaborations, and exchange programs between QBI at UCSF and the University of Alberta, with involvement from the Alberta Machine Intelligence Institute (Amii).
  • Systems Biology Ireland (SBI) at University College DublinminorStrategic or Co-development Partner · 21 December 2023Partnership through the QBI-SBI Collaborative Network Biology and Drug/Drug Target Discovery RFA, supporting joint research in network biology and drug discovery.
  • Tel Aviv University (TAU)minorStrategic or Co-development Partner · 1 November 2020Partnership with TAU's Edmond J. Safra Center for Bioinformatics and Blavatnik Center for Drug Discovery through the QBI-TAU Computational Biology and Drug Discovery RFA.
  • PSL-Qlife Institute at Institut Curie, ParisminorStrategic or Co-development Partner · 1 May 2020International collaborative partnership through the QBI-QLIFE Quantitative Approaches RFA, supporting joint research in quantitative biology between UCSF and Paris institutions.
  • Freie Universität Berlin (FUB)minorStrategic or Co-development Partner · 9 November 2019International collaborative partnership through the QBI-FUB Integrative Structural Biology RFA, supporting joint pilot projects in structural biology research.
  • Alberta Machine Intelligence Institute (Amii)coreStrategic or Co-development PartnerCo-host of the 'Blueprints of Tomorrow: AI & Human Health' event with QBI and University of Alberta. Amii brings Alberta's leadership in artificial intelligence to strengthen the collaboration's technical capabilities.
  • Institut PasteurcoreStrategic or Co-development PartnerPartnership through the Institut Pasteur-UCSF QBI Center for Emerging Infectious Diseases. Includes the Faculty Mini-Sabbatical Program for one- to three-month exchanges between institutions, focusing on pandemic preparedness research.
  • Rezo TherapeuticscoreStrategic or Co-development PartnerBiotechnology spinout company from QBI's Cancer Cell Map Initiative. Rezo advances precision therapies through disease network mapping using technology from QBI's platform.
  • Gladstone InstitutescoreStrategic or Co-development PartnerCollaborative research partner on multiple studies including HIV research and coronavirus protein interaction mapping. Nevan Krogan serves as senior investigator at Gladstone while directing QBI.
  • UC BerkeleyminorStrategic or Co-development PartnerQB3 campus partner collaborating on hackathon events and joint research initiatives. Scientists from UCB participate in QBI hackathons and collaborative projects.
  • UC Santa CruzminorStrategic or Co-development PartnerQB3 campus partner collaborating on hackathon events and joint research initiatives. Scientists from UCSC participate in QBI hackathons and collaborative projects.
  • Consulate General of Canada in San FranciscominorGTM or Marketing PartnerSupported the 'Blueprints of Tomorrow: AI & Human Health' event and hosted reception following the MOU signing between QBI and University of Alberta.

Scale indicators4 records

Recent moves7 records

Expansion highlights5 records

Quantitative Bioscience Institute competitors and assessment

Company assessment

Broad incumbents

  • Broad Institute: Large-scale academic-affiliated biomedical research organization with deep capabilities in genomics, proteomics, chemical biology, and therapeutic translation. Operates a broader portfolio but shares QBI's disease-agnostic, platform-driven discovery philosophy.

Direct peers

  • Generate Biomedicines: AI-enabled generative biology platform focused on novel protein therapeutics; comparable in its use of structural biology and generative AI to design protein-based interventions, similar to QBI's protein-centric discovery mandate.
  • Recursion Pharmaceuticals: AI/ML-driven drug discovery company combining high-throughput wet-lab biology with computational target identification. Closely comparable to QBI in mission (data-rich, biology-first discovery) though operating as a commercial entity rather than academic institute.
  • Insitro: MACHINE-learning driven drug discovery platform integrating genomics, proteomics, and CRISPR functional genomics — directly overlapping QBI's technology stack (CRISPR, proteomics, AI/ML for target discovery).
  • Arc Institute: Independent research institute combining computational and experimental biology with a focus on complex disease and AI-driven science; analogous academic-style model with disease-agnostic scope and industry partnership ambition.
  • Atomwise: AI-driven small-molecule drug discovery company using structure-based deep learning. Comparable in its use of AI/ML for target identification and partnership-driven commercialization model, though focused on small molecules rather than protein-protein interaction mapping.
  • Gladstone Institutes: UCSF-affiliated independent research organization focused on disease-focused biomedical discovery. Directly comparable as a neighboring UCSF institute with overlapping senior investigators (Krogan) and complementary disease programs.
  • Institute for Protein Design (University of Washington): Academic institute using computational protein design, structural biology, and AI/ML to engineer novel proteins; comparable in scope and methodology to QBI's cryo-EM and protein structure prediction capabilities.

Emerging players

  • Rezo Therapeutics: Spinout of QBI's Cancer Cell Map Initiative using disease network mapping to advance precision therapies. A natural peer as the first commercial embodiment of QBI's platform technology.

Regional players

  • EMBL (European Molecular Biology Laboratory): Intergovernmental research organization for molecular life sciences, with strong structural biology, proteomics, and computational biology programs. Highly comparable platform capabilities but operates in Europe rather than the US.

Market position

Strengths5 records

Weaknesses4 records

Competitive moat5 records

Key risks4 records

Key highlights6 records

Customer concentration

Quantitative Bioscience Institute social profiles

Digital presence

Quantitative Bioscience Institute financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Quantitative Bioscience Institute leadership team

Management profile

Number of profiles

Profiles3 records

Quantitative Bioscience Institute subsidiaries and ownership

Company hierarchy

Subsidiaries1 record

Quantitative Bioscience Institute funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Quantitative Bioscience Institute M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Quantitative Bioscience Institute

What does Quantitative Bioscience Institute do?

The Quantitative Bioscience Institute (QBI) is an academic research institute within UCSF's School of Pharmacy that conducts quantitative and interdisciplinary bioscience research to understand disease mechanisms and enable drug discovery. QBI operates multiple Cell Mapping Initiatives (Cancer, Psychiatric, and Host-Pathogen), maintains technology platforms spanning cryo-EM/ET, mass spectrometry, CRISPR, and AI/ML, and runs training programs including fellowships and hackathons to support early-career scientists. The institute bridges academic discovery with therapeutic development through industry partnerships and spinout companies.

Is Quantitative Bioscience Institute a public or private company?

Quantitative Bioscience Institute is a private company. It is classified as nonprofit foundation owned and is currently operating.

When was Quantitative Bioscience Institute founded?

Quantitative Bioscience Institute was founded in 2016. It employs 11 to 50 people.

Where is Quantitative Bioscience Institute based?

Quantitative Bioscience Institute is headquartered in San Francisco, United States, in the North America region.

Who are Quantitative Bioscience Institute's main competitors?

Broad Institute is listed as a broad incumbent. Direct peers are Generate Biomedicines, Recursion Pharmaceuticals, Insitro, Arc Institute, Atomwise, Gladstone Institutes and Institute for Protein Design (University of Washington). Rezo Therapeutics is listed as an emerging player. EMBL (European Molecular Biology Laboratory) is listed as a regional player.

Does Quantitative Bioscience Institute have an API?

No public API is recorded for Quantitative Bioscience Institute.

What industry is Quantitative Bioscience Institute in?

Quantitative Bioscience Institute's product category is Academic Biomedical Research. Its primary akta.pro industry code is HLAAAIAE, AI/ML-Enabled Biologic Discovery Platforms (computational design, in silico screening), with a secondary code of HLAAALAL, Multiplex & High-Throughput Diagnostics Platforms (microarrays, digital PCR, lab automation-enabled assays). Its NAICS code is 541714 and its SIC code is 8731.

Unlock the full company data

50 free credits on sign-up, no credit card required.

Contact sales
Live signals
News-MedicalUCSF scientists build largest molecular interaction map for autismResearchers at UCSF's Quantitative Biosciences Institute and Department of Psychiatry and Behavioral Sciences published a study in Science on August 27, 2026 mapping protein interactions for 100 autism risk genes, identifying over 1,800 interactions, 87% previously unknown. The team found that hundreds of autism-causing mutations converge on a small set of shared protein complexes, suggesting therapies targeting common hubs rather than individual genes.GenengnewsUCSF QBI Awarded $46M to Translate Landmark Autism Map Into Precision TherapiesScientists at UCSF's Quantitative Biosciences Institute and the department of psychiatry and behavioral sciences published a study in Science mapping over 1,800 autism-related protein interactions, 87% previously unreported, and showing distinct mutations converging on shared protein networks. UCSF's QBI received $46 million from Aligning Research to Impact Autism to expand the work in the organization's Protein-Protein Interactions Hub.FinancialContent Business PageUCSF's Quantitative Biosciences Institute Awarded $46 Million to Advance Groundbreaking Autism ResearchThe Quantitative Biosciences Institute at UCSF announced a $46 million grant from Aligning Research to Impact Autism (ARIA) to expand its autism research, building on a study published in Science mapping protein-protein interactions for 100 autism risk genes. The funding supports QBI's role in ARIA's Protein-Protein Interactions Hub, which brings teams from San Francisco, New York, Germany and Switzerland to develop mechanism-based small molecule medicines.FinancialContent Business PageUCSF QBI Creates Largest Ever Molecular Map of Autism, Opening New Paths to Precision TherapiesScientists at UCSF's Quantitative Biosciences Institute and the Department of Psychiatry and Behavioral Sciences published a study in Science on August 27, 2026 mapping over 1,800 protein-protein interactions across 100 autism risk genes, with 87% previously unknown. The team found that hundreds of autism-causing mutations converge on a small set of shared protein complexes, suggesting therapies targeting common hubs rather than individual genes. QBI plans to apply the framework across neurology, oncology and infectious diseases.MedicalxpressLargest ever molecular map of autism opens new paths to precision therapiesResearchers at UCSF's Quantitative Biosciences Institute and the Department of Psychiatry and Behavioral Sciences published a study in Science mapping protein interactions for 100 autism risk genes, identifying over 1,800 interactions, 87% previously unknown. The team found that hundreds of autism-causing mutations converge on a small set of shared protein complexes, suggesting therapies targeting common hubs rather than individual genes.Business Wire BlogUCSF's Quantitative Biosciences Institute Awarded $46 Million to Advance Groundbreaking Autism ResearchUCSF's Quantitative Biosciences Institute announced it received a $46 million grant from Aligning Research to Impact Autism (ARIA) to expand research into autism spectrum disorder's molecular mechanisms. The funding supports QBI's role in ARIA's Protein-Protein Interactions Hub, which maps disrupted protein complexes across San Francisco, New York, Germany and Switzerland. The grant follows a Science study mapping over 1,800 protein interactions among 100 autism risk genes.AijournQuantitative Biosciences Institute Appoints Brad Schneider, Ph.D., as Chief Operating OfficerThe Quantitative Biosciences Institute (QBI) at the University of California, San Francisco appointed Brad Schneider as its new Chief Operating Officer to lead operational excellence and institutional growth. Dr. Schneider joins from Vaccines for Communities, bringing over two decades of experience in infectious disease research and global health operations. This appointment supports QBI's strategic expansion into areas such as cancer, neurodegeneration, and pandemic preparedness.FinancialContent Business PageQuantitative Biosciences Institute Appoints Brad Schneider, Ph.D., as Chief Operating OfficerThe Quantitative Biosciences Institute (QBI) at the University of California, San Francisco appointed Brad Schneider as Chief Operating Officer to lead operational excellence and institutional growth. Dr. Schneider joins from Vaccines for Communities, bringing over two decades of experience in infectious disease research and global health operations. This leadership change aims to support QBI's expansion in quantitative and systems biology research.Business Wire BlogQuantitative Biosciences Institute Appoints Brad Schneider, Ph.D., as Chief Operating OfficerThe Quantitative Biosciences Institute at UCSF appointed Brad Schneider as Chief Operating Officer. He brings over two decades of infectious disease and global health experience, previously leading Vaccines for Communities and Pinpoint Science. He will help build operational infrastructure for the institute's growth.citybizQuantitative Biosciences Institute Appoints Andy Kilianski as Chief Science and Technology OfficerThe Quantitative Biosciences Institute at UCSF has appointed Andy Kilianski, a veteran infectious disease researcher and former ARPA-H program manager, as its new Chief Science and Technology Officer. Kilianski managed over $1 billion in R&D investments at ARPA-H and previously contributed to the federal COVID-19 response and Operation Warp Speed. In his new role, he will lead QBI's technology strategy, industry partnerships, and commercialization of research emerging from the institute, including support for biotech startups.