Author

Seth A. Myers

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Systems Biology· 1

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Chad Miller· 1 shared Chang‐Wook LeeiD· 1 shared Denis Drygin· 1 shared Hannah Chen· 1 shared James Ian Martineau· 1 shared Kyler LugoiD· 1 shared N. ArunachalamiD· 1 shared Thi Trinh· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperSystems Biology

Chad Miller

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1 paper

Recent·Most cited

Deep Kernel Inversion: Rapid and Accurate Molecular Interaction Prediction for Drug Design

Seth A. Myers, Chad Miller, Kyler Lugo, Thi Trinh, Chang‐Wook Lee, N. Arunachalam, Hannah Chen, Denis Drygin, James Ian Martineau

This paper introduces a deep learning framework for predicting molecular interactions, reducing computational complexity and demonstrating high performance in human protein-protein interaction mapping.

bioRxiv · Nov 19, 2024 · PreprintSystems Biology