对接(动物)
蛋白质-配体对接
分子动力学
虚拟筛选
生物信息学
药物发现
计算生物学
大分子对接
计算机科学
生物
化学
生物化学
计算化学
医学
基因
护理部
作者
Sakshi Singh,Qanita Bani Baker,Dev Bukhsh Singh
出处
期刊:Elsevier eBooks
[Elsevier]
日期:2021-10-22
卷期号:: 291-304
被引量:65
标识
DOI:10.1016/b978-0-323-89775-4.00014-6
摘要
Computational drug discovery methods provide valuable insights into the understanding of protein–ligand interaction systems in a virtual manner. Molecular docking and thermodynamic-based molecular dynamics (MD) simulation are important toolboxes for in silico drug discovery. Molecular docking is an approach, which employs the binding modes of small molecules or macromolecules in contact with protein receptors at the atomic level. MD simulation techniques provide a significant complementary association with that of docking. These approaches are favorable in assessing the structural features of a protein–ligand, protein–protein, protein–nucleic acid, and protein–peptide complex. This chapter discusses a broad plethora of possibilities arising in drug discovery from molecular docking to MD simulation with recent developments in these techniques and elaborates on the challenges and achievements of the focused approaches.
科研通智能强力驱动
Strongly Powered by AbleSci AI