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Roshan Rao
Roshan Rao
Research Scientist
Email verificata su evolutionaryscale.ai - Home page
Titolo
Citata da
Citata da
Anno
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
2813*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
9852019
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
6592021
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
6072021
Transformer protein language models are unsupervised structure learners
R Rao, J Meier, T Sercu, S Ovchinnikov, A Rives
Biorxiv, 2020.12. 15.422761, 2020
3372020
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
203*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
1242025
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
362022
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
352023
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
312020
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
302023
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
202021
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
Machine Learning in Structural Biology Workshop, NeurIPS 2022, 2022
22022
Training, Evaluating, and Understanding Evolutionary Models for Protein Sequences
RM Rao
University of California, Berkeley, 2021
2021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–16