Molecular dynamics simulations and novel drug discovery

Xuewei Liu, Danfeng Shi, Shuangyan Zhou, Hongli Liu, Huanxiang Liu, Xiaojun Yao

Research output: Contribution to journalReview articlepeer-review

301 Citations (Scopus)

Abstract

Introduction: Molecular dynamics (MD) simulations can provide not only plentiful dynamical structural information on biomacromolecules but also a wealth of energetic information about protein and ligand interactions. Such information is very important to understanding the structure-function relationship of the target and the essence of protein–ligand interactions and to guiding the drug discovery and design process. Thus, MD simulations have been applied widely and successfully in each step of modern drug discovery. Areas covered: In this review, the authors review the applications of MD simulations in novel drug discovery, including the pathogenic mechanisms of amyloidosis diseases, virtual screening and the interaction mechanisms between drugs and targets. Expert opinion: MD simulations have been used widely in investigating the pathogenic mechanisms of diseases caused by protein misfolding, in virtual screening, and in investigating drug resistance mechanisms caused by mutations of the target. These issues are very difficult to solve by experimental methods alone. Thus, in the future, MD simulations will have wider application with the further improvement of computational capacity and the development of better sampling methods and more accurate force fields together with more efficient analysis methods.

Original languageEnglish
Pages (from-to)23-37
Number of pages15
JournalExpert Opinion on Drug Discovery
Volume13
Issue number1
DOIs
Publication statusPublished - 2 Jan 2018
Externally publishedYes

Keywords

  • Molecular dynamics simulation
  • amyloidosis
  • drug discovery
  • drug resistance
  • virtual screening

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