Author

J. E. Tynan

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Biology Disciplines

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Biophysics· 1

Signature Assays, Organisms & Methods

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Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

A. G. Chemparathy· 1 shared A. S. Powers· 1 shared J. A. Belk· 1 shared J. M. Paggi· 1 shared M. J. Clark· 1 shared N. Villanueva· 1 shared R. K. Sunahara· 1 shared R. O. Dror· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBiophysics

A. G. Chemparathy

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1 paper

Recent·Most cited

Leveraging non-structural data to predict structures of protein-ligand complexes

J. M. Paggi, J. A. Belk, S. A. Hollingsworth, N. Villanueva, A. S. Powers, M. J. Clark, A. G. Chemparathy, J. E. Tynan, T. K. Lau, R. K. Sunahara, R. O. Dror

This paper presents a statistical framework combining physics-based and ligand-based methods to predict protein-ligand complex structures, improving pose prediction accuracy for drug targets.

bioRxiv · Jun 1, 2020 · PreprintBiophysics