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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
12292019
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
6852019
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
6602017
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
6172019
Machine learning in computer-aided synthesis planning
CW Coley, WH Green, KF Jensen
Accounts of chemical research 51 (5), 1281-1289, 2018
5712018
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
4262017
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
3082018
Computer-assisted retrosynthesis based on molecular similarity
CW Coley, L Rogers, WH Green, KF Jensen
ACS central science 3 (12), 1237-1245, 2017
3012017
Predicting organic reaction outcomes with weisfeiler-lehman network
W Jin, C Coley, R Barzilay, T Jaakkola
Advances in neural information processing systems 30, 2017
3002017
Autonomous discovery in the chemical sciences part I: Progress
CW Coley, NS Eyke, KF Jensen
arXiv preprint arXiv:2003.13754, 2020
2792020
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
2432018
The synthesizability of molecules proposed by generative models
W Gao, CW Coley
Journal of chemical information and modeling 60 (12), 5714-5723, 2020
2372020
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
2342023
Autonomous discovery in the chemical sciences part II: Outlook
CW Coley, NS Eyke, KF Jensen
Angewandte Chemie International Edition, 2019
2052019
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
1952021
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
1832020
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
1732019
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
1662019
Accelerating high-throughput virtual screening through molecular pool-based active learning
DE Graff, EI Shakhnovich, CW Coley
Chemical science 12 (22), 7866-7881, 2021
1622021
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
1582020
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