Connor W. Coley

About Connor W. Coley

Connor W. Coley, With an exceptional h-index of 44 and a recent h-index of 44 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of drug discovery, machine learning, automation, synthetic chemistry.

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

Prefix-tree decoding for predicting mass spectra from molecules

Beyond Major Product Prediction: Reproducing Reaction Mechanisms with Machine Learning Models Trained on a Large-Scale Mechanistic Dataset

Effective Protein-Protein Interaction Exploration with PPIretrieval

Data-Efficient, Chemistry-Aware Machine Learning Predictions of Diels–Alder Reaction Outcomes

DNA-encoded library-enabled discovery of proximity-inducing small molecules

Rapid Prediction of Conformationally-Dependent DFT-Level Descriptors using Graph Neural Networks for Carboxylic Acids and Alkyl Amines

Automation of air-free synthesis

A physics-inspired approach to the understanding of molecular representations and models

Connor W. Coley Information

University

Position

Department of Chemical Engineering

Citations(all)

9680

Citations(since 2020)

9411

Cited By

2518

hIndex(all)

44

hIndex(since 2020)

44

i10Index(all)

76

i10Index(since 2020)

76

Email

University Profile Page

Google Scholar

Connor W. Coley Skills & Research Interests

drug discovery

machine learning

automation

synthetic chemistry

Top articles of Connor W. Coley

Title

Journal

Author(s)

Publication Date

Prefix-tree decoding for predicting mass spectra from molecules

Advances in Neural Information Processing Systems

Samuel Goldman

John Bradshaw

Jiayi Xin

Connor Coley

2024/2/13

Beyond Major Product Prediction: Reproducing Reaction Mechanisms with Machine Learning Models Trained on a Large-Scale Mechanistic Dataset

arXiv preprint arXiv:2403.04580

Joonyoung F Joung

Mun Hong Fong

Jihye Roh

Zhengkai Tu

John Bradshaw

...

2024/3/7

Effective Protein-Protein Interaction Exploration with PPIretrieval

arXiv preprint arXiv:2402.03675

Chenqing Hua

Connor Coley

Guy Wolf

Doina Precup

Shuangjia Zheng

2024/2/6

Data-Efficient, Chemistry-Aware Machine Learning Predictions of Diels–Alder Reaction Outcomes

Angus Keto

Taicheng Guo

Morgan Underdue

Thijs Stuyver

Connor Coley

...

2024/3/6

DNA-encoded library-enabled discovery of proximity-inducing small molecules

Nature Chemical Biology

Jeremy W Mason

Yuen Ting Chow

Liam Hudson

Antonin Tutter

Gregory Michaud

...

2024/2

Rapid Prediction of Conformationally-Dependent DFT-Level Descriptors using Graph Neural Networks for Carboxylic Acids and Alkyl Amines

Brittany Haas

Melissa Hardy

Shree Sowndarya SV

Keir Adams

Connor Coley

...

2024/2/23

Automation of air-free synthesis

Babak A Mahjour

Connor W Coley

2024/4/11

A physics-inspired approach to the understanding of molecular representations and models

Molecular Systems Design & Engineering

Luke Dicks

David E Graff

Kirk E Jordan

Connor W Coley

Edward O Pyzer-Knapp

2024

Substrate Scope Contrastive Learning: Repurposing Human Bias to Learn Atomic Representations

arXiv preprint arXiv:2402.16882

Wenhao Gao

Priyanka Raghavan

Ron Shprints

Connor W Coley

2024/2/19

Extracting Structured Data from Organic Synthesis Procedures Using a Fine-Tuned Large Language Model

Qianxiang Ai

Fanwang Meng

Jiale Shi

Brenden Pelkie

Connor W Coley

2024/4/8

Pareto optimization to accelerate multi-objective virtual screening

Digital Discovery

Jenna C Fromer

David E Graff

Connor W Coley

2024

Generating molecular fragmentation graphs with autoregressive neural networks

Analytical Chemistry

Samuel Goldman

Janet Li

Connor W Coley

2024/2/13

Closing the Execution Gap in Generative AI for Chemicals and Materials: Freeways or Safeguards

An MIT Exploration of Generative AI, https://doi.org/10.21428/e4baedd9.92e511e3

Akshay Subramanian

Wenhao  Gao

Regina Barzilay

Jeffrey C. Grossman

Tommi  Jaakkola

...

2024/3/27

Sequence-(in) dependence protein-mimetic polymer

APS March Meeting Abstracts

Tianyi Jin

Connor Coley

Alfredo Alexander-Katz

2023

Compositions, formulations, and methods for hair treatment

2023/4/20

A high-throughput platform for efficient exploration of functional polypeptide chemical space

Nature Synthesis

Guangqi Wu

Haisen Zhou

Jun Zhang

Zi-You Tian

Xingyi Liu

...

2023/6

QMugs 1.1: Quantum mechanical properties of organic compounds commonly encountered in reactivity datasets

Chemical Data Collections

Rebecca M Neeser

Clemens Isert

Thijs Stuyver

Gisbert Schneider

Connor W Coley

2023/8/1

Publisher Correction: Scientific discovery in the age of artificial intelligence

Nature

Hanchen Wang

Tianfan Fu

Yuanqi Du

Wenhao Gao

Kexin Huang

...

2023/9

Combining Molecular Quantum Mechanical Modeling and Machine Learning for Accelerated Reaction Screening and Discovery

Chemistry–A European Journal

Nicholas Casetti

Javier E Alfonso‐Ramos

Connor W Coley

Thijs Stuyver

2023/10/26

Predictive Chemistry Augmented with Text Retrieval

Yujie Qian

Zhening Li

Zhengkai Tu

Connor W Coley

Regina Barzilay

2023/12/8

See List of Professors in Connor W. Coley University(Massachusetts Institute of Technology)

Co-Authors

academic-engine