Literature DB >> 33939423

Improving the Performance of MM/PBSA in Protein-Protein Interactions via the Screening Electrostatic Energy.

Yan-Jing Sheng1, Yue-Wen Yin1, Yu-Qiang Ma2, Hong-Ming Ding1.   

Abstract

Accurate calculation of protein-protein binding free energy is of great importance in biological and medical science, yet it remains a hugely challenging problem. In this work, we develop a new strategy in which a screened electrostatic energy (i.e., adding an exponential damping factor to the Coulombic interaction energy) is used within the framework of the molecular mechanics/Poisson-Boltzmann surface area (MM/PBSA) method. Our results show that the Pearson correlation coefficient in the modified MM/PBSA is over 0.70, which is much better than that in the standard MM/PBSA, especially in the Amber14SB force field. In particular, the performance of the standard MM/PBSA is very poor in a system where the proteins carry like charges. Moreover, we also calculated the mean absolute error (MAE) between the calculated and experimental ΔG values and found that the MAE in the modified MM/PBSA was indeed much smaller than that in the standard MM/PBSA. Furthermore, the effect of the dielectric constant of the proteins and the salt conditions on the results was also investigated. The present study highlights the potential power of the modified MM/PBSA for accurately predicting the binding energy in highly charged biosystems.

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Year:  2021        PMID: 33939423     DOI: 10.1021/acs.jcim.1c00410

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  7 in total

1.  A proteomics-MM/PBSA dual approach for the analysis of SARS-CoV-2 main protease substrate peptide specificity.

Authors:  Gloria Gallo; Uilla Barcick; Camila Coelho; Murilo Salardani; Maurício F Camacho; Daniela Cajado-Carvalho; Flávio V Loures; Solange M T Serrano; Leon Hardy; André Zelanis; Martin Würtele
Journal:  Peptides       Date:  2022-05-26       Impact factor: 3.867

2.  Molecular Dynamics and MM-PBSA Analysis of the SARS-CoV-2 Gamma Variant in Complex with the hACE-2 Receptor.

Authors:  Maurizio Cavani; Walter Arnaldo Riofrío; Marcelino Arciniega
Journal:  Molecules       Date:  2022-04-06       Impact factor: 4.927

3.  Modeling the MreB-CbtA Interaction to Facilitate the Prediction and Design of Candidate Antibacterial Peptides.

Authors:  Elvis Awuni
Journal:  Front Mol Biosci       Date:  2022-01-27

4.  Protein-Protein Binding Free Energy Predictions with the MM/PBSA Approach Complemented with the Gaussian-Based Method for Entropy Estimation.

Authors:  Shailesh Kumar Panday; Emil Alexov
Journal:  ACS Omega       Date:  2022-03-22

5.  The dolabellane diterpenes as potential inhibitors of the SARS-CoV-2 main protease: molecular insight of the inhibitory mechanism through computational studies.

Authors:  Nanik Siti Aminah; Muhammad Ikhlas Abdjan; Andika Pramudya Wardana; Alfinda Novi Kristanti; Imam Siswanto; Khusna Arif Rakhman; Yoshiaki Takaya
Journal:  RSC Adv       Date:  2021-12-10       Impact factor: 4.036

6.  Loading of DOX into a tetrahedral DNA nanostructure: the corner does matter.

Authors:  Yao Xu; Shu-Wei Huang; Yu-Qiang Ma; Hong-Ming Ding
Journal:  Nanoscale Adv       Date:  2021-12-07

7.  Reliable In Silico Ranking of Engineered Therapeutic TCR Binding Affinities with MMPB/GBSA.

Authors:  Rory M Crean; Christopher R Pudney; David K Cole; Marc W van der Kamp
Journal:  J Chem Inf Model       Date:  2022-01-20       Impact factor: 6.162

  7 in total

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