Evaluating Protein Transfer Learning with TAPE. - Roshan Rao; Nicholas Bhattacharya; Neil Thomas; Yan Duan; Xi Chen 022; John F. Canny; Pieter Abbeel; Yun S. Song (NeurIPS, 2019)

FLIP: Benchmark tasks in fitness landscape inference for proteins. - Christian Dallago; Jody Mou; Kadina E. Johnston; Bruce J. Wittmann; Nicholas Bhattacharya; Samuel Goldman; Ali Madani; Kevin K. Yang (NeurIPS Datasets and Benchmarks, 2021)

Deep self-supervised learning for biosynthetic gene cluster detection and product classification. - Carolina Rios-Martinez; Nicholas Bhattacharya; Ava P. Amini; Lorin Crawford; Kevin K. Yang (PLoS Comput. Biol., 2023)

End-to-end learning of multiple sequence alignments with differentiable Smith-Waterman. - Samantha Petti; Nicholas Bhattacharya; Roshan Rao; Justas Dauparas; Neil Thomas; Juannan Zhou; Alexander M. Rush; Peter K. Koo; Sergey Ovchinnikov 001 (Bioinform., 2023)