Jin Xu
Jin is a ML researcher at Applied Science of Google Research. His research interests include deep learning, AI4Science and information theory. He is currently working on developing computer vision segmentation models to automate neuron tracing for mouse brain reconstruction. Previously he worked on applying deep learning to hit finding and lead optimization in drug discovery. Google Scholar
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A Target Class Ligandability Evaluation of WD40 Repeat-Containing Proteins
James Thompson
Justin Gilmer
JW Feng
Wen Torng
Anthony D. Keefe
Ying Zhang
Ian Watson
Journal of Medicinal Chemistry (2024)
Deep Learning Approach for the Discovery of Tumor-Targeting Small Organic Ligands from DNA-Encoded Chemical Libraries
Wen Torng
Ilaria Biancofiore
Sebastian Oehler
Jessica Xu
Ian Allen Watson
Brenno Masina
Luca Prati
Nicholas Favalli
Gabriele Bassi
Dario Neri
Samuele Cazzamalli
JW Feng
ACS Omega (2023)
Hit Expansion Driven By Machine Learning
JW Feng
Steven Kearnes
NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development (2023)
Discovery of a first-in-class small molecule ligand for WDR91 using DNA-encoded library selection followed by machine learning
Shabbir Ahmad
JW Feng
Ashley Hutchinson
Hong Zeng
Pegah Ghiabi
Aiping Dong
Paolo A. Centrella
Matthew A. Clark
Marie-Aude Guié
John P. Guilinger
Anthony D. Keefe
Ying Zhang
Thomas Cerruti
John W. Cuozzo
Moritz von Rechenberg
Albina Bolotokova
Yanjun Li
Peter Loppnau
Almagul Seitova
Yen-Yen Li
Vijayaratnam Santhakumar
Peter J. Brown
Suzanne Ackloo
Levon Halabelian
Journal of Medicinal Chemistry (2023)
