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Seyone Chithrananda
Seyone Chithrananda
UC Berkeley, Broad Institute
在 berkeley.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
ChemBERTa: large-scale self-supervised pretraining for molecular property prediction
S Chithrananda, G Grand, B Ramsundar
NeurIPS 2020 ML for Molecules Workshop, 2020
439*2020
Chemberta-2: Towards chemical foundation models
W Ahmad, E Simon, S Chithrananda, G Grand, B Ramsundar
ELLIS Machine Learning for Molecule Discovery Workshop, 2022
110*2022
Assigning confidence to molecular property prediction
AK Nigam, R Pollice, MFD Hurley, RJ Hickman, M Aldeghi, N Yoshikawa, ...
Expert opinion on drug discovery 16 (9), 1009-1023, 2021
512021
TOPH (True Retrieval Of Proteins Homologs): Adapting A Contrastive Question-Answering Framework for Protein Search
R Boger, A Lu, S Chithrananda, K Yang, P Skopintsev, B Adler, E Wallace, ...
ICML Workshop for Computational Biology 2023, 2023
22023
RNA language models predict mutations that improve RNA function
Y Shulgina, MI Trinidad, CJ Langeberg, H Nisonoff, S Chithrananda, ...
bioRxiv, 2024
12024
Functional protein mining with conformal guarantees
RS Boger, S Chithrananda, AN Angelopoulos, PH Yoon, MH Jordan, ...
bioRxiv, 2024
2024
Successive Weight Regularization for Plasticity in Deep Reinforcement Learning
V Teo, A Rajaraman, S Chithrananda
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