Literature DB >> 30549062

Calculation of hot spots for protein-protein interaction in p53/PMI-MDM2/MDMX complexes.

Dading Huang1, Yifei Qi1,2, Jianing Song2, John Z H Zhang1,2,3,4.   

Abstract

The recently developed MM/GBSA_IE method is applied to computing hot and warm spots in p53/PMI-MDM2/MDMX protein-protein interaction systems. Comparison of the calculated hot (>2 kcal/mol) and warm spots (>1 kcal/mol) in P53 and PMI proteins interacting with MDM2 and MDMX shows a good quantitative agreement with the available experimental data. Further, our calculation predicted hot spots in MDM2 and MDMX proteins in their interactions with P53 and PMI and they help elucidate the interaction mechanism underlying this important PPI system. In agreement with the experimental result, the present calculation shows that PMI has more hot and warm spots and binds stronger to MDM2/MDMX. The analysis of these hot and warm spots helps elucidate the fundamental difference in binding between P53 and PMI to the MDM2/MDMX systems. Specifically, for p53/PMI-MDM2 systems, p53 and PMI use essentially the same residues (L54, I61, Y67, Q72, V93, H96, and I99) of MDM2 for binding. However, PMI enhanced interactions with residues L54, Y67, and Q72 of MDM2. For the p53/PMI-MDMX system, p53 and PMI use similar residues (M53, I60, Y66, Q71, V92, and Y99) of MDMX for binding. However, PMI exploited three extra residues (M61, K93, and L98) of MDMX for enhanced binding. In addition, PMI enhanced interaction with four residues (M53, Y66, Q71, and Y99) of MDMX. These results gave quantitative explanation on why the binding affinities of PMI-MDM2/MDMX interactions are stronger than that of p53-MDM2/MDMX although their binding modes are similar.
© 2018 Wiley Periodicals, Inc. © 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  GBSA; MDM2; MDMX; PMI; computational alanine scanning; hot spots; interaction entropy; p53; warm spots

Mesh:

Substances:

Year:  2018        PMID: 30549062     DOI: 10.1002/jcc.25592

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


  5 in total

1.  Computational Alanine Scanning Reveals Common Features of TCR/pMHC Recognition in HLA-DQ8-Associated Celiac Disease.

Authors:  Linqiong Qiu; Jianing Song; John Z H Zhang
Journal:  Methods Mol Biol       Date:  2022

2.  Mutational Effect of Some Major COVID-19 Variants on Binding of the S Protein to ACE2.

Authors:  Zhendong Li; John Z H Zhang
Journal:  Biomolecules       Date:  2022-04-13

3.  Computational analysis of hot spots and binding mechanism in the PD-1/PD-L1 interaction.

Authors:  Dading Huang; Wei Wen; Xiao Liu; Yang Li; John Z H Zhang
Journal:  RSC Adv       Date:  2019-05-14       Impact factor: 4.036

4.  HawkDock: a web server to predict and analyze the protein-protein complex based on computational docking and MM/GBSA.

Authors:  Gaoqi Weng; Ercheng Wang; Zhe Wang; Hui Liu; Feng Zhu; Dan Li; Tingjun Hou
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

5.  Molecular Simulation of Oncostatin M and Receptor (OSM-OSMR) Interaction as a Potential Therapeutic Target for Inflammatory Bowel Disease.

Authors:  Qingqing Du; Yan Qian; Weiwei Xue
Journal:  Front Mol Biosci       Date:  2020-03-04
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.