Literature DB >> 31840845

Oversampling Free Energy Perturbation Simulation in Determination of the Ligand-Binding Free Energy.

Son Tung Ngo1,2, Trung Hai Nguyen1,2, Nguyen Thanh Tung3, Pham Cam Nam4, Khanh B Vu5, Van V Vu5.   

Abstract

Determination of the ligand-binding affinity is an extremely interesting problem. Normally, the free energy perturbation (FEP) method provides an appropriate result. However, it is of great interest to improve the accuracy and precision of this method. In this context, temperature replica exchange molecular dynamics implementation of the FEP computational approach, which we call replica exchange free energy perturbation (REP) was proposed. In particular, during REP simulations, the system can easily escape from being trapped in local minima by exchanging configurations with high temperatures, resulting in significant improvement in the accuracy and precision of protein-ligand binding affinity calculations. The distribution of the decoupling free energy was enlarged, and its mean values were decreased. This results in changes in the magnitude of the calculated binding free energies as well as in alteration in the binding mechanism. Moreover, the REP correlation coefficient with respect to experiment ( RREP = 0.85 ± 0.15) is significantly boosted in comparison with the FEP one ( RFEP = 0.64 ± 0.30). Furthermore, the root-mean-square error (RMSE) of REP is also smaller than FEP, RMSEREP = 4.28 ± 0.69 versus RMSEFEP = 5.80 ± 1.11 kcal/mol, respectively.
© 2019 Wiley Periodicals, Inc. © 2019 Wiley Periodicals, Inc.

Keywords:  FEP; REP; binding free energy; perturbation; replica exchange molecular dynamics

Year:  2019        PMID: 31840845     DOI: 10.1002/jcc.26130

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  14 in total

1.  A computationally affordable approach for accurate prediction of the binding affinity of JAK2 inhibitors.

Authors:  Nguyen Thi Mai; Ngo Thi Lan; Thien Y Vu; Nguyen Thanh Tung; Huong Thi Thu Phung
Journal:  J Mol Model       Date:  2022-05-23       Impact factor: 1.810

2.  In silico screening of potential β-secretase (BACE1) inhibitors from VIETHERB database.

Authors:  Nguyen Thao Nhung; Nhung Duong; Huong Thi Thu Phung; Quan V Vo; Nguyen Minh Tam
Journal:  J Mol Model       Date:  2022-02-14       Impact factor: 1.810

3.  Umbrella Sampling-Based Method to Compute Ligand-Binding Affinity.

Authors:  Son Tung Ngo; Minh Quan Pham
Journal:  Methods Mol Biol       Date:  2022

4.  Assessing potential inhibitors of SARS-CoV-2 main protease from available drugs using free energy perturbation simulations.

Authors:  Son Tung Ngo; Hung Minh Nguyen; Le Thi Thuy Huong; Pham Minh Quan; Vi Khanh Truong; Nguyen Thanh Tung; Van V Vu
Journal:  RSC Adv       Date:  2020-11-09       Impact factor: 4.036

5.  Benchmark of Popular Free Energy Approaches Revealing the Inhibitors Binding to SARS-CoV-2 Mpro.

Authors:  Son Tung Ngo; Nguyen Minh Tam; Minh Quan Pham; Trung Hai Nguyen
Journal:  J Chem Inf Model       Date:  2021-04-08       Impact factor: 4.956

6.  Binding of inhibitors to the monomeric and dimeric SARS-CoV-2 Mpro.

Authors:  Nguyen Minh Tam; Pham Cam Nam; Duong Tuan Quang; Nguyen Thanh Tung; Van V Vu; Son Tung Ngo
Journal:  RSC Adv       Date:  2021-01-13       Impact factor: 3.361

7.  Insights into the binding and covalent inhibition mechanism of PF-07321332 to SARS-CoV-2 Mpro.

Authors:  Son Tung Ngo; Trung Hai Nguyen; Nguyen Thanh Tung; Binh Khanh Mai
Journal:  RSC Adv       Date:  2022-01-28       Impact factor: 3.361

8.  Searching and designing potential inhibitors for SARS-CoV-2 Mpro from natural sources using atomistic and deep-learning calculations.

Authors:  Nguyen Minh Tam; Duc-Hung Pham; Dinh Minh Hiep; Phuong-Thao Tran; Duong Tuan Quang; Son Tung Ngo
Journal:  RSC Adv       Date:  2021-11-29       Impact factor: 4.036

9.  Design, synthesis, structure, in vitro cytotoxic activity evaluation and docking studies on target enzyme GSK-3β of new indirubin-3'-oxime derivatives.

Authors:  Nguyen Trong Dan; Hoang Duc Quang; Vuong Van Truong; Do Huu Nghi; Nguyen Manh Cuong; To Dao Cuong; Tran Quoc Toan; Long Giang Bach; Nguyen Huu Thuan Anh; Nguyen Thi Mai; Ngo Thi Lan; Luu Van Chinh; Pham Minh Quan
Journal:  Sci Rep       Date:  2020-07-10       Impact factor: 4.379

10.  Unbinding ligands from SARS-CoV-2 Mpro via umbrella sampling simulations.

Authors:  Nguyen Minh Tam; Trung Hai Nguyen; Vu Thi Ngan; Nguyen Thanh Tung; Son Tung Ngo
Journal:  R Soc Open Sci       Date:  2022-01-26       Impact factor: 2.963

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.