Wengong Jin

Broad Institute — United States

Computer Science · Physical Sciences

27h-index8.4kcitations73works7.82yr avg
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Research Topics

Computational Drug Discovery Methods(49), Machine Learning in Materials Science(42), Chemical Synthesis and Analysis(8), Protein Structure and Dynamics(7), Advanced Graph Neural Networks(5)

Publications73 total

Generative Artificial Intelligence for Biology: Toward Unifying Models, Algorithms, and Modalities
2026Open Access
Generative Artificial Intelligence for Biomolecules: Toward Unifying Models, Algorithms, and Modalities
2026Open Access
STPath: a generative foundation model for integrating spatial transcriptomics and whole-slide images
npj Digital Medicine·2025· 1 citedOpen Access
A generative deep learning approach to de novo antibiotic design
Cell·2025· 31 citedOpen Access
BindEnergyCraft: Casting Protein Structure Predictors as Energy-Based Models for Binder Design
ArXiv.org·2025· 1 citedOpen Access
Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching
arXiv (Cornell University)·2025Open Access
AI-driven discovery of synergistic drug combinations against pancreatic cancer
Nature Communications·2025· 14 citedOpen Access
STPath: A Generative Foundation Model for Integrating Spatial Transcriptomics and Whole Slide Images
2025· 1 citedOpen Access
Reaction-conditioned De Novo Enzyme Design with GENzyme
arXiv (Cornell University)·2024· 2 citedOpen Access
Deep generative design of RNA aptamers using structural predictions
Nature Computational Science·2024· 54 citedOpen Access
Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions
arXiv (Cornell University)·2024· 1 citedOpen Access
RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
arXiv (Cornell University)·2024· 7 citedOpen Access
Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates
arXiv (Cornell University)·2024· 1 citedOpen Access
AI-driven discovery of synergistic drug combinations against pancreatic cancer
2024· 4 citedOpen Access
DSMBind: SE(3) denoising score matching for unsupervised binding energy prediction and nanobody design
Zenodo (CERN European Organization for Nuclear Research)·2024Open Access
Autonomous, multiproperty-driven molecular discovery: from predictions to measurements and back
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Autonomous, multiproperty-driven molecular discovery: from predictions to measurements and back
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back
Science·2023· 127 cited
Discovery of a structural class of antibiotics with explainable deep learning
Nature·2023· 357 citedOpen Access
DSMBind: SE(3) denoising score matching for unsupervised binding energy prediction and nanobody design
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
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Frequent Co-authors

Tommi Jaakkola(43), Regina Barzilay(41), Klavs F. Jensen(13), Kevin Yang(12), Connor W. Coley(12), Kyle Swanson(9), Angel Guzmán-Pérez(7), Miriam Mathea(7), Volker Settels(7), Philipp Eiden(6), Hua Gao(6), Timothy Hopper(6), Andrew Palmer(6), James J. Collins(5), Brian Kelley(5), Jonathan Stokes(4), Nina M. Donghia(4), William H. Green(4), Camille Bilodeau(4), Andrés Cubillos-Ruiz(3)