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Bridging Molecular Docking to Molecular Dynamics in Exploring Ligand-Protein Recognition Process: An Overview

Frontiers in Pharmacology · 2018 · Vol. 9 · pp. 923–923
Veronica SalmasoStefano Moro

Abstract

Computational techniques have been applied in the drug discovery pipeline since the 1980s. Given the low computational resources of the time, the first molecular modeling strategies relied on a rigid view of the ligand-target binding process. During the years, the evolution of hardware technologies has gradually allowed simulating the dynamic nature of the binding event. In this work, we present an overview of the evolution of structure-based drug discovery techniques in the study of ligand-target recognition phenomenon, going from the static molecular docking toward enhanced molecular dynamics strategies.

Computational Drug Discovery MethodsProtein Structure and DynamicsReceptor Mechanisms and SignalingMolecular dynamicsDocking (animal)Drug discoveryComputational biologyComputer scienceBridging (networking)Molecular recognitionProcess (computing)NanotechnologyBioinformatics

Funding

  • Nvidia
Citations
634
FWCI
44.24
field-weighted impact
References
169
Percentile
100%
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Citations per year
Cited by
Molecular Docking: Shifting Paradigms in Drug Discovery
International Journal of Molecular Sciences · 2019 · 2,141 citations
References
Automated docking of substrates to proteins by simulated annealing
Proteins Structure Function and Bioinformatics · 1990 · 1,271 citations
Molecular dynamics study of unbinding of the avidin-biotin complex
Biophysical Journal · 1997 · 790 citations
On the nature of allosteric transitions: A plausible model
Journal of Molecular Biology · 1965 · 8,835 citations
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