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Vijil Chenthamarakshan

Showing results (1-10 of 10) with videos related to

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Scientific Reports|July 2, 2025
AlphaFold distillation for inverse protein designIgor Melnyk, Aurélie Lozano, Payel Das, et al.
Communications Chemistry|June 23, 2023
An end-to-end deep learning framework for translating mass spectra to de-novo moleculesEleni E Litsa, Vijil Chenthamarakshan, Payel Das, et al.
Proceedings of Machine Learning Research|August 23, 2021
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein DesignYue Cao, Payel Das, Vijil Chenthamarakshan, et al.
Scientific Reports|March 25, 2023
Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanationsBhanushee Sharma, Vijil Chenthamarakshan, Amit Dhurandhar, et al.
Arxiv|December 16, 2024
Multi-Scale Representation Learning for Protein Fitness PredictionZuobai Zhang, Pascal Notin, Yining Huang, et al.
Scientific Reports|August 12, 2025
Property-driven localization and characterization in deep molecular representationsCelia Cintas, Payel Das, Jerret Ross, et al.
Journal of Chemical Information and Modeling|May 11, 2023
A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual ScreeningJack Scantlebury, Lucy Vost, Anna Carbery, et al.
Nature Biomedical Engineering|March 12, 2021
Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulationsPayel Das, Tom Sercu, Kahini Wadhawan, et al.
Nature Biomedical Engineering|June 29, 2021
Author Correction: Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulationsPayel Das, Tom Sercu, Kahini Wadhawan, et al.
Science Advances|June 21, 2023
Accelerating drug target inhibitor discovery with a deep generative foundation modelVijil Chenthamarakshan, Samuel C Hoffman, C David Owen, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Scientific Reports|July 2, 2025
AlphaFold distillation for inverse protein designIgor Melnyk, Aurélie Lozano, Payel Das, et al.
Communications Chemistry|June 23, 2023
An end-to-end deep learning framework for translating mass spectra to de-novo moleculesEleni E Litsa, Vijil Chenthamarakshan, Payel Das, et al.
Proceedings of Machine Learning Research|August 23, 2021
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein DesignYue Cao, Payel Das, Vijil Chenthamarakshan, et al.
Scientific Reports|March 25, 2023
Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanationsBhanushee Sharma, Vijil Chenthamarakshan, Amit Dhurandhar, et al.
Arxiv|December 16, 2024
Multi-Scale Representation Learning for Protein Fitness PredictionZuobai Zhang, Pascal Notin, Yining Huang, et al.
Scientific Reports|August 12, 2025
Property-driven localization and characterization in deep molecular representationsCelia Cintas, Payel Das, Jerret Ross, et al.
Journal of Chemical Information and Modeling|May 11, 2023
A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual ScreeningJack Scantlebury, Lucy Vost, Anna Carbery, et al.
Nature Biomedical Engineering|March 12, 2021
Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulationsPayel Das, Tom Sercu, Kahini Wadhawan, et al.
Nature Biomedical Engineering|June 29, 2021
Author Correction: Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulationsPayel Das, Tom Sercu, Kahini Wadhawan, et al.
Science Advances|June 21, 2023
Accelerating drug target inhibitor discovery with a deep generative foundation modelVijil Chenthamarakshan, Samuel C Hoffman, C David Owen, et al.
Pageof 1