Literature DB >> 28413950

A Critical Review of Validation, Blind Testing, and Real- World Use of Alchemical Protein-Ligand Binding Free Energy Calculations.

Robert Abel1, Lingle Wang1, David L Mobley2, Richard A Friesner3.   

Abstract

Protein-ligand binding is among the most fundamental phenomena underlying all molecular biology, and a greater ability to more accurately and robustly predict the binding free energy of a small molecule ligand for its cognate protein is expected to have vast consequences for improving the efficiency of pharmaceutical drug discovery. We briefly reviewed a number of scientific and technical advances that have enabled alchemical free energy calculations to recently emerge as a preferred approach, and critically considered proper validation and effective use of these techniques. In particular, we characterized a selection bias effect which may be important in prospective free energy calculations, and introduced a strategy to improve the accuracy of the free energy predictions. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Keywords:  Alchemical free energy calculations; Computer-aided drug design; Drug discovery; FEP; Free energy; Molecular dynamics; Protein-ligand binding; Structure-based drug discovery; TI; Thermodynamic integration

Mesh:

Substances:

Year:  2017        PMID: 28413950     DOI: 10.2174/1568026617666170414142131

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  23 in total

1.  Absolute Free Energy of Binding Calculations for Macrophage Migration Inhibitory Factor in Complex with a Druglike Inhibitor.

Authors:  Yue Qian; Israel Cabeza de Vaca; Jonah Z Vilseck; Daniel J Cole; Julian Tirado-Rives; William L Jorgensen
Journal:  J Phys Chem B       Date:  2019-10-07       Impact factor: 2.991

2.  Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery.

Authors:  Tai-Sung Lee; Bryce K Allen; Timothy J Giese; Zhenyu Guo; Pengfei Li; Charles Lin; T Dwight McGee; David A Pearlman; Brian K Radak; Yujun Tao; Hsu-Chun Tsai; Huafeng Xu; Woody Sherman; Darrin M York
Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

3.  Robust Free Energy Perturbation Protocols for Creating Molecules in Solution.

Authors:  Israel Cabeza de Vaca; Ricardo Zarzuela; Julian Tirado-Rives; William L Jorgensen
Journal:  J Chem Theory Comput       Date:  2019-06-24       Impact factor: 6.006

4.  Overview of the SAMPL6 host-guest binding affinity prediction challenge.

Authors:  Andrea Rizzi; Steven Murkli; John N McNeill; Wei Yao; Matthew Sullivan; Michael K Gilson; Michael W Chiu; Lyle Isaacs; Bruce C Gibb; David L Mobley; John D Chodera
Journal:  J Comput Aided Mol Des       Date:  2018-11-10       Impact factor: 3.686

5.  Optimal designs for pairwise calculation: An application to free energy perturbation in minimizing prediction variability.

Authors:  Qingyi Yang; Woodrow Burchett; Gregory S Steeno; Shuai Liu; Mingjun Yang; David L Mobley; Xinjun Hou
Journal:  J Comput Chem       Date:  2019-11-13       Impact factor: 3.376

6.  Improving the Accuracy of Protein Thermostability Predictions for Single Point Mutations.

Authors:  Jianxin Duan; Dmitry Lupyan; Lingle Wang
Journal:  Biophys J       Date:  2020-05-29       Impact factor: 4.033

7.  Potential Mean Force from Umbrella Sampling Simulations: What Can We Learn and What Is Missed?

Authors:  Wanli You; Zhiye Tang; Chia-En A Chang
Journal:  J Chem Theory Comput       Date:  2019-03-14       Impact factor: 6.006

8.  Implicit ligand theory for relative binding free energies: II. An estimator based on control variates.

Authors:  Trung Hai Nguyen; David D L Minh
Journal:  J Phys Commun       Date:  2020-11-26

9.  Continuous Evaluation of Ligand Protein Predictions: A Weekly Community Challenge for Drug Docking.

Authors:  Jeffrey R Wagner; Christopher P Churas; Shuai Liu; Robert V Swift; Michael Chiu; Chenghua Shao; Victoria A Feher; Stephen K Burley; Michael K Gilson; Rommie E Amaro
Journal:  Structure       Date:  2019-06-27       Impact factor: 5.006

10.  Variational Method for Networkwide Analysis of Relative Ligand Binding Free Energies with Loop Closure and Experimental Constraints.

Authors:  Timothy J Giese; Darrin M York
Journal:  J Chem Theory Comput       Date:  2021-02-02       Impact factor: 6.006

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.