Следене
Roshan Rao
Roshan Rao
Research Scientist
Потвърден имейл адрес: evolutionaryscale.ai - Начална страница
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Позовавания
Година
Evolutionary-scale prediction of atomic-level protein structure with a language model
Z Lin, H Akin, R Rao, B Hie, Z Zhu, W Lu, N Smetanin, R Verkuil, O Kabeli, ...
Science 379 (6637), 1123-1130, 2023
3010*2023
Evaluating protein transfer learning with TAPE
R Rao, N Bhattacharya, N Thomas, Y Duan, P Chen, J Canny, P Abbeel, ...
Advances in neural information processing systems 32, 2019
10172019
MSA transformer
RM Rao, J Liu, R Verkuil, J Meier, J Canny, P Abbeel, T Sercu, A Rives
International Conference on Machine Learning, 8844-8856, 2021
6812021
Language models enable zero-shot prediction of the effects of mutations on protein function
J Meier, R Rao, R Verkuil, J Liu, T Sercu, A Rives
Advances in neural information processing systems 34, 29287-29303, 2021
6492021
Transformer protein language models are unsupervised structure learners
R Rao, J Meier, T Sercu, S Ovchinnikov, A Rives
Biorxiv, 2020.12. 15.422761, 2020
3572020
GPU accelerated t-distributed stochastic neighbor embedding
DM Chan, R Rao, F Huang, JF Canny
Journal of Parallel and Distributed Computing 131, 1-13, 2019
206*2019
Simulating 500 million years of evolution with a language model
T Hayes, R Rao, H Akin, NJ Sofroniew, D Oktay, Z Lin, R Verkuil, VQ Tran, ...
Science, eads0018, 2025
1672025
A high-level programming language for generative protein design
B Hie, S Candido, Z Lin, O Kabeli, R Rao, N Smetanin, T Sercu, A Rives
BioRxiv, 2022.12. 21.521526, 2022
402022
End-to-end learning of multiple sequence alignments with differentiable Smith–Waterman
S Petti, N Bhattacharya, R Rao, J Dauparas, N Thomas, J Zhou, AM Rush, ...
Bioinformatics 39 (1), btac724, 2023
372023
Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features
A Harmalkar, R Rao, Y Richard Xie, J Honer, W Deisting, J Anlahr, ...
MAbs 15 (1), 2163584, 2023
322023
Single layers of attention suffice to predict protein contacts
N Bhattacharya, N Thomas, R Rao, J Dauparas, PK Koo, D Baker, ...
Biorxiv, 2020.12. 21.423882, 2020
322020
Interpreting potts and transformer protein models through the lens of simplified attention
N Bhattacharya, N Thomas, R Rao, J Dauparas, PK Koo, D Baker, ...
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2022, 34-45, 2021
222021
ZPD teaching strategies for deep reinforcement learning from demonstrations
D Seita, D Chan, R Rao, C Tang, M Zhao, J Canny
arXiv preprint arXiv:1910.12154, 2019
132019
Quality and relevance metrics for selection of multimodal pretraining data
R Rao, S Rao, E Nouri, D Dey, A Celikyilmaz, B Dolan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
42020
Seq2msa: A language model for protein sequence diversification
P Sturmfels, R Rao, R Verkuil, Z Lin, O Kabeli, T Sercu, A Lerer, A Rives
arXiv preprint arXiv:2012.00195, 2022
22022
Training, Evaluating, and Understanding Evolutionary Models for Protein Sequences
RM Rao
University of California, Berkeley, 2021
2021
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