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Characterizing protein-ligand binding using atomistic simulation and machine learning: Application to drug resistance in HIV-1 protease

Over the past several decades, atomistic simulations of biomolecules, whether carried out using molecular dynamics or Monte Carlo techniques, have provided detailed insights into their function. Comparing the results of such simulations for a few closely related systems has guided our understanding...

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Bibliographische Detailangaben
Veröffentlicht in:J Chem Theory Comput
Hauptverfasser: Whitfield, Troy W., Ragland, Debra A., Zeldovich, Konstantin B., Schiffer, Celia A.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2020
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7771725/
https://ncbi.nlm.nih.gov/pubmed/31877249
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.jctc.9b00781
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