Author

K. I. Diller

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

Biology Disciplines

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Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

E. P. Fokoue· 1 shared G. A. Babbitt· 1 shared J. R. Evans· 1 shared L. E. Adams· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBiophysics

E. P. Fokoue

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1 paper

Recent·Most cited

Machine learning based detection of genetic and drug class variant impact on functionally conserved protein binding dynamics

G. A. Babbitt, E. P. Fokoue, J. R. Evans, K. I. Diller, L. E. Adams

This paper introduces DROIDS v3.0, a tool combining MD simulations and machine learning to analyze protein dynamics, identifying conserved regions and variant impacts on function.

bioRxiv · Sep 5, 2019 · PreprintBiophysics