Wengong Jin

Wengong Jin

Massachusetts Institute of Technology

H-index: 17

North America-United States

About Wengong Jin

Wengong Jin, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

AI-driven discovery of synergistic drug combinations against pancreatic cancer

Discovery of a structural class of antibiotics with explainable deep learning

Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back

Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii

MiniFold: Simple, Fast and Accurate Protein Structure Prediction

Graph and geometry generative modeling for drug discovery

Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation

DSMBind: SE (3) denoising score matching for unsupervised binding energy prediction and nanobody design

Wengong Jin Information

University

Position

CSAIL EECS

Citations(all)

6172

Citations(since 2020)

6055

Cited By

1527

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

18

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Wengong Jin Skills & Research Interests

Deep Learning

Top articles of Wengong Jin

AI-driven discovery of synergistic drug combinations against pancreatic cancer

2024/4/30

Discovery of a structural class of antibiotics with explainable deep learning

Nature

2024/2/1

Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back

Science

2023/12/22

Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii

Nature Chemical Biology

2023/11

MiniFold: Simple, Fast and Accurate Protein Structure Prediction

2023/10/13

Jeremy Wohlwend
Jeremy Wohlwend

H-Index: 3

Wengong Jin
Wengong Jin

H-Index: 9

Graph and geometry generative modeling for drug discovery

2023/8/6

Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation

Advances in Neural Information Processing Systems

2024/2/13

DSMBind: SE (3) denoising score matching for unsupervised binding energy prediction and nanobody design

bioRxiv

2023

Generative models for molecular discovery: Recent advances and challenges

2022/9

Antibody-Antigen Docking and Design via Hierarchical Equivariant Refinement

arXiv preprint arXiv:2207.06616

2022/7/14

Wengong Jin
Wengong Jin

H-Index: 9

Tommi Jaakkola
Tommi Jaakkola

H-Index: 60

Generating molecules with optimized aqueous solubility using iterative graph translation

Reaction Chemistry & Engineering

2022

Iterative refinement graph neural network for antibody sequence-structure co-design

arXiv preprint arXiv:2110.04624

2021/10/9

Deep learning identifies synergistic drug combinations for treating COVID-19

Proceedings of the National Academy of Sciences

2021/9/28

Wengong Jin
Wengong Jin

H-Index: 9

James J Collins
James J Collins

H-Index: 103

Graph Representation Learning for Drug Discovery

2021

Wengong Jin
Wengong Jin

H-Index: 9

Mol2Image: improved conditional flow models for molecule to image synthesis

2021

Enforcing Predictive Invariance across Structured Biomedical Domains

arXiv preprint arXiv:2006.03908

2020/6/6

Wengong Jin
Wengong Jin

H-Index: 9

Tommi Jaakkola
Tommi Jaakkola

H-Index: 60

Systems and methods for predicting chemical reactions

2020/4/14

Improving Molecular Design by Stochastic Iterative Target Augmentation

2020/2/11

Multi-Objective Molecule Generation using Interpretable Substructures

2020/11/21

Wengong Jin
Wengong Jin

H-Index: 9

Tommi Jaakkola
Tommi Jaakkola

H-Index: 60

See List of Professors in Wengong Jin University(Massachusetts Institute of Technology)

Co-Authors

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