Author

D. B. Kokh

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· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Assay:structural biology· 1 Organism:virus· 1

Frequent Co-Authors

R. C. Wade· 2 shared A. Hanke· 1 shared A. R. Beccari· 1 shared A. Zaliani· 1 shared B. P. Joseph· 1 shared C. Bergh· 1 shared C. Manelfi· 1 shared C. Talarico· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiophysics

R. C. Wade

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2 papers

Recent·Most cited

G Protein-Coupled Receptor-Ligand Dissociation Rates and Mechanisms from {tau}RAMD Simulations

D. B. Kokh, R. C. Wade

This paper uses {tau}RAMD simulations to study GPCR ligand dissociation rates and mechanisms, showing agreement with conventional MD simulations and revealing effects of allosteric modulation.

bioRxiv · Jun 20, 2021Biophysics

A blueprint for high affinity SARS-CoV-2 Mpro inhibitors from activity-based compound library screening guided by analysis of protein dynamics

J. Gossen, S. Albani, A. Hanke, B. P. Joseph, C. Bergh, M. Kuzikov, E. Costanza, C. Manelfi, P. Storici, P. Gribbon, A. R. Beccari, C. Talarico, F. Spyrakis, E. Lindahl, A. Zaliani, , G. Rossetti

The paper identifies a blueprint for high affinity SARS-CoV-2 Mpro inhibitors by analyzing protein dynamics and redefining druggability through virtual screening and pharmacophore modeling.

bioRxiv · Dec 14, 2020Biophysics