Literature DB >> 28689054

Implementing QM in docking calculations: is it a waste of computational time?

Adebayo A Adeniyi1, Mahmoud E S Soliman2.   

Abstract

The greatest challenge in molecular docking (MD) is the deficiency of scoring functions (SFs), which limits their reliability. SFs are too simplified to represent the true features of the complex free energy of protein-ligand interactions. Investigations of docking functions have traded accuracy for speed through the use of approximations and simplifications. Consequently, there has been an increase in the popularity of quantum-mechanical (QM)-based methods as reference points for the development of fast, reliable, valuable, yet inexpensive, tools. As we discuss here, one significant QM-based parameter used to predict docking is the accuracy of atomic partial charges, which is strongly related to the accuracy of the SF prediction.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2017        PMID: 28689054     DOI: 10.1016/j.drudis.2017.06.012

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  6 in total

1.  Heterogeneous CPU+GPU-Enabled Simulations for DFTB Molecular Dynamics of Large Chemical and Biological Systems.

Authors:  Sarah I Allec; Yijing Sun; Jianan Sun; Chia-En A Chang; Bryan M Wong
Journal:  J Chem Theory Comput       Date:  2019-03-27       Impact factor: 6.006

Review 2.  Empirical Scoring Functions for Structure-Based Virtual Screening: Applications, Critical Aspects, and Challenges.

Authors:  Isabella A Guedes; Felipe S S Pereira; Laurent E Dardenne
Journal:  Front Pharmacol       Date:  2018-09-24       Impact factor: 5.810

3.  Binding Affinity via Docking: Fact and Fiction.

Authors:  Tatu Pantsar; Antti Poso
Journal:  Molecules       Date:  2018-07-30       Impact factor: 4.411

4.  Computational Analysis and Biological Activities of Oxyresveratrol Analogues, the Putative Cyclooxygenase-2 Inhibitors.

Authors:  Nathjanan Jongkon; Boonwiset Seaho; Ngampuk Tayana; Saisuree Prateeptongkum; Nongnaphat Duangdee; Panichakorn Jaiyong
Journal:  Molecules       Date:  2022-04-06       Impact factor: 4.411

Review 5.  Docking covalent targets for drug discovery: stimulating the computer-aided drug design community of possible pitfalls and erroneous practices.

Authors:  Abdul-Quddus Kehinde Oyedele; Abdeen Tunde Ogunlana; Ibrahim Damilare Boyenle; Ayodeji Oluwadamilare Adeyemi; Temionu Oluwakemi Rita; Temitope Isaac Adelusi; Misbaudeen Abdul-Hammed; Oluwabamise Emmanuel Elegbeleye; Tope Tunji Odunitan
Journal:  Mol Divers       Date:  2022-09-04       Impact factor: 3.364

6.  Automated Fragmentation QM/MM Calculation of NMR Chemical Shifts for Protein-Ligand Complexes.

Authors:  Xinsheng Jin; Tong Zhu; John Z H Zhang; Xiao He
Journal:  Front Chem       Date:  2018-05-08       Impact factor: 5.221

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.