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Connor W. Coley
Connor W. Coley
Department of Chemical Engineering, MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Analyzing learned molecular representations for property prediction
K Yang, K Swanson, W Jin, C Coley, P Eiden, H Gao, A Guzman-Perez, ...
Journal of chemical information and modeling 59 (8), 3370-3388, 2019
11862019
A robotic platform for flow synthesis of organic compounds informed by AI planning
CW Coley, DA Thomas III, JAM Lummiss, JN Jaworski, CP Breen, ...
Science 365 (6453), eaax1566, 2019
643*2019
Prediction of organic reaction outcomes using machine learning
CW Coley, R Barzilay, TS Jaakkola, WH Green, KF Jensen
ACS central science 3 (5), 434-443, 2017
6392017
A graph-convolutional neural network model for the prediction of chemical reactivity
CW Coley, W Jin, L Rogers, TF Jamison, TS Jaakkola, WH Green, ...
Chemical science 10 (2), 370-377, 2019
6062019
Machine learning in computer-aided synthesis planning
CW Coley, WH Green, KF Jensen
Accounts of chemical research 51 (5), 1281-1289, 2018
5612018
Convolutional embedding of attributed molecular graphs for physical property prediction
CW Coley, R Barzilay, WH Green, TS Jaakkola, KF Jensen
Journal of chemical information and modeling 57 (8), 1757-1772, 2017
4202017
Using machine learning to predict suitable conditions for organic reactions
H Gao, TJ Struble, CW Coley, Y Wang, WH Green, KF Jensen
ACS central science 4 (11), 1465-1476, 2018
2982018
Predicting organic reaction outcomes with weisfeiler-lehman network
W Jin, C Coley, R Barzilay, T Jaakkola
Advances in neural information processing systems 30, 2017
2982017
Computer-assisted retrosynthesis based on molecular similarity
CW Coley, L Rogers, WH Green, KF Jensen
ACS central science 3 (12), 1237-1245, 2017
2962017
Autonomous discovery in the chemical sciences part I: Progress
CW Coley, NS Eyke, KF Jensen
arXiv preprint arXiv:2003.13754, 2020
2702020
SCScore: synthetic complexity learned from a reaction corpus
CW Coley, L Rogers, WH Green, KF Jensen
Journal of chemical information and modeling 58 (2), 252-261, 2018
2402018
The synthesizability of molecules proposed by generative models
W Gao, CW Coley
Journal of chemical information and modeling 60 (12), 5714-5723, 2020
2232020
Autonomous discovery in the chemical sciences part II: Outlook
CW Coley, NS Eyke, KF Jensen
Angewandte Chemie International Edition, 2019
2052019
Uncertainty quantification using neural networks for molecular property prediction
L Hirschfeld, K Swanson, K Yang, R Barzilay, CW Coley
Journal of Chemical Information and Modeling 60 (8), 3770-3780, 2020
1772020
Scientific discovery in the age of artificial intelligence
H Wang, T Fu, Y Du, W Gao, K Huang, Z Liu, P Chandak, S Liu, ...
Nature 620 (7972), 47-60, 2023
1712023
BigSMILES: a structurally-based line notation for describing macromolecules
TS Lin, CW Coley, H Mochigase, HK Beech, W Wang, Z Wang, E Woods, ...
ACS central science 5 (9), 1523-1531, 2019
1712019
Retrosynthesis prediction with conditional graph logic network
H Dai, C Li, C Coley, B Dai, L Song
Advances in Neural Information Processing Systems 32, 2019
1652019
Accelerating high-throughput virtual screening through molecular pool-based active learning
DE Graff, EI Shakhnovich, CW Coley
Chemical science 12 (22), 7866-7881, 2021
1592021
Current and future roles of artificial intelligence in medicinal chemistry synthesis
TJ Struble, JC Alvarez, SP Brown, M Chytil, J Cisar, RL DesJarlais, ...
Journal of medicinal chemistry 63 (16), 8667-8682, 2020
1562020
Therapeutics data commons: Machine learning datasets and tasks for drug discovery and development
K Huang, T Fu, W Gao, Y Zhao, Y Roohani, J Leskovec, CW Coley, ...
arXiv preprint arXiv:2102.09548, 2021
1482021
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Articles 1–20