Wesley Wei Qian

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Jian PengHelixon; Previously at UIUC & MITVerified email at helixon.com
Alexander Bame WiltschkoOsmoVerified email at osmo.ai
Benjamin Sanchez-LengelingResearch Scientist at Google DeepmindVerified email at google.com
Jennifer N WeiOpen Molecular Software FoundationVerified email at omsf.io
Yunan LuoGeorgia Institute of TechnologyVerified email at gatech.edu
Richard C GerkinHead of Neuroscience, Osmo; Full Research Professor, Arizona State UniversityVerified email at asu.edu
anne-claude gingrasLunenfeld-Tanenbaum Research Institute; University of TorontoVerified email at lunenfeld.ca
Mikko TaipaleUniversity of TorontoVerified email at utoronto.ca
Huimin ZhaoSteven L. Miller Chair of Chemical Engineering, University of Illinois at Urbana-ChampaignVerified email at uiuc.edu
Lucy J. ColwellCambridge UniversityVerified email at google.com
Joel MainlandMonell Chemical Senses CenterVerified email at monell.org
Martin D. BurkeProfessor of Chemistry, University of Illinois and Associate Dean for Research, CIMEDVerified email at illinois.edu
Anne E. CarpenterInstitute Scientist and Imaging Platform Director, Broad Institute of Harvard and MITVerified email at broadinstitute.org
Wei-Ying MaTsinghua UniversityVerified email at air.tsinghua.edu.cn

Wesley Wei Qian

Other namesWesley Qian, Wei Qian

Osmo

Verified email at osmo.ai - Homepage

Computational Biology Cheminformatics Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Evaluating attribution for graph neural networks B Sanchez-Lengeling, J Wei, B Lee, E Reif, P Wang, WW Qian, ... Advances in neural information processing systems 33, 2020	112	2020
ECNet is an evolutionary context-integrated deep learning framework for protein engineering Y Luo, G Jiang, T Yu, Y Liu, L Vo, H Ding, Y Su, WW Qian, H Zhao, ... Nature Communications 12 (1), 1-14, 2021	100	2021
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction J Guan, WW Qian, X Peng, Y Su, J Peng, J Ma International Conference on Learning Representations, 2023	69	2023
Comprehensive interactome profiling of the human Hsp70 network highlights functional differentiation of J domains BL Piette, N Alerasool, ZY Lin, J Lacoste, MHY Lam, WW Qian, S Tran, ... Molecular cell 81 (12), 2549-2565. e8, 2021	55	2021
A principal odor map unifies diverse tasks in olfactory perception BK Lee, EJ Mayhew, B Sanchez-Lengeling, JN Wei, WW Qian, KA Little, ... Science 381 (6661), 999-1006, 2023	32*	2023
Evolutionary context-integrated deep sequence modeling for protein engineering Y Luo, L Vo, H Ding, Y Su, Y Liu, WW Qian, H Zhao, J Peng International Conference on Research in Computational Molecular Biology, 261-263, 2020	18*	2020
Energy-Inspired Molecular Conformation Optimization J Guan, WW Qian, Q Liu, WY Ma, J Ma, J Peng International Conference on Learning Representations, 2022	16	2022
Batch equalization with a generative adversarial network WW Qian, C Xia, S Venugopalan, A Narayanaswamy, M Dimon, ... Bioinformatics 36 (Supplement_2), i875-i883, 2020	16	2020
Integrating Deep Neural Networks and Symbolic Inference for Organic Reactivity Prediction WW Qian, NT Russell, CLW Simons, Y Luo, MD Burke, J Peng ACS National Meeting 2021, 2020	16*	2020
A central chaperone-like role for 14-3-3 proteins in human cells D Segal, S Maier, GJ Mastromarco, WW Qian, S Nabeel-Shah, H Lee, ... Molecular cell 83 (6), 974-993. e15, 2023	14	2023
Metabolic activity organizes olfactory representations WW Qian, JN Wei, B Sanchez-Lengeling, BK Lee, Y Luo, M Vlot, ... Elife 12, e82502, 2023	8	2023
A deep learning and digital archaeology approach for mosquito repellent discovery JN Wei, M Vlot, B Sanchez-Lengeling, BK Lee, L Berning, MW Vos, ... bioRxiv, 2022	1	2022
Pervasive mislocalization of pathogenic coding variants underlying human disorders J Lacoste, M Haghighi, S Haider, ZY Lin, D Segal, C Reno, WW Qian, ... bioRxiv, 2023		2023
Machine learning for drug discovery and beyond WW Qian		2022

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