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Human interpretable grammar encodes multicellular systems biology models to democratize virtual cell laboratories

Cell(2025)10.1016/j.cell.2025.06.048Source: DataRank Database

Human interpretable grammar encodes multicellular systems biology models to democratize virtual cell laboratories is a research paper published in Cell (2025). On theSindex it has a DataRank of 0. It has been cited 42 times.

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Open Access42 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (38 grants)OA: hybridTopics (35)IDs (PubMed, PMC)Annotations (3)

FAIR Checklist

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Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (47)

Daniel Bergman ORCID,Heber L. Rocha ORCID,David Zhou ORCID,Eric Cramer ORCID,Ian C. McLean ORCID

Live enrichment

PubMed:40713951 PMC:PMC13012569

NIH Blueprint for Neuroscience Research

Grant: F99NS139554

National Science Foundation

Grant: 1818187

Integrative Mathematical and Experimental Approaches to Understanding Robust Activation of Gene Expression by Light Color

National Science Foundation

Grant: 2303695

POSE: PHASE II: Open VT - A Standardized Ecosystem for Virtual Tissue Simulation

National Science Foundation

Grant: 1720625

Network for Computational Nanotechnology - Engineered nanoBIO Node

Leidos Inc

Grant: 75N91019D00024

Breast Cancer Research Foundation

Grant: BCRF-24-048

National Institutes of Health National Cancer Institute

Grant: U54CA209988

National Institutes of Health National Cancer Institute

Grant: T32CA153952

National Institutes of Health National Cancer Institute

Grant: T32AG058527

National Institutes of Health National Cancer Institute

Grant: U01CA284090

National Institutes of Health National Cancer Institute

Grant: R00NS122085

National Institutes of Health National Cancer Institute

Grant: U01CA212007

National Institutes of Health National Cancer Institute

Grant: U54CA268083

National Institutes of Health National Cancer Institute

Grant: R35GM157099

National Institutes of Health National Cancer Institute

Grant: U01CA253403

National Institutes of Health National Cancer Institute

Grant: T32CA254888

National Institutes of Health National Cancer Institute

Grant: U54CA274371

National Institutes of Health National Cancer Institute

Grant: T32GM148383

National Institutes of Health National Cancer Institute

Grant: P50CA062924

NCI NIH HHS

Grant: P30 CA008748

NCI NIH HHS

Grant: U24 CA284156

NCI NIH HHS

Grant: U01 CA271273

NCI NIH HHS

Grant: U01 CA294548

Cancer Moonshot

Indiana University

Johns Hopkins University

Kuni Foundation

Susan G Komen Breast Cancer Foundation

National Foundation for Cancer Research

Lustgarten Foundation

Lady Margaret Hall, University of Oxford

Jayne Koskinas Ted Giovanis Foundation for Health and Policy

Break Through Cancer

National Institutes of Health

Anna Fuller Fund

Indiana University Luddy School of Informatics Computing and Engineering

Lilly Endowment Inc

NIH National Institute of General Medical Sciences

hybridLicense: cc-by

publisherhttps://www.cell.com/cell/pdf/S0092-8674(25)00750-0.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0092867425007500?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0092867425007500?httpAccept=text/plain

repositoryhttps://hal.science/hal-05548572

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC13012569/

Fields of Study

0206 medical engineering02 engineering and technologySystems BiologyHumansModels, BiologicalComputer SimulationNeoplasms

MeSH Terms

HumansNeoplasmsSystems BiologyModels, BiologicalComputer Simulation

Keywords

SimulationImmunotherapyimmunologyMathematical BiologyCancer BiologyMathematical ModelingAgent-based ModelingCell InteractionsCell BehaviorsMulti-omicsTissue DynamicsModeling LanguageMulticellular SystemsSpatial TranscriptomicsCell Behavior Hypothesis GrammarPhysics Of Multicellular BiologyMulticellular Systems BiologySystems BiologyNeoplasmsHumansComputer SimulationModels, BiologicalArticle