Literature DB >> 24218291

Mutation effects of neuraminidases and their docking with ligands: a molecular dynamics and free energy calculation study.

Zhiwei Yang1, Gang Yang, Lijun Zhou.   

Abstract

A systematic study has been performed on neuraminidase (NA) mutations and NA-inhibitor docked complexes, with the aim to understand protein-ligand interactions and design broad-spectrum antiviral drugs with minimal resistances. The catalytic D151 residue is likely to mutate while others are relatively conserved. The NA active-site conformations are altered by mutations, but more alterations do not necessarily result in larger deviations to the binding properties. The effects of all related mutations have been discussed; e.g., for the arginine triad (R118, R292 and R371), it is found that residue R118 plays the most significant role during ligand binding. Generally, the calculated binding free energies agree well with the experimental observations. Susceptibility of influenza virus to NA inhibitors can be reinforced by some mutations; e.g., the binding free energies of ligands with N2 subtype increase from -18.0 to -42.1 kcal mol(-1) by the E119D mutation. Mutations of the various NA subtypes often cause similar conformational and binding changes, explaining the occurrence of cross resistances; nonetheless, differences can be detected in some cases that correspond to subtype-specific resistances. For all NA subtypes, the electrostatic contributions are the major driving force for ligand binding and largely responsible for the binding differences between the wild-type and mutated NA proteins.

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Year:  2013        PMID: 24218291     DOI: 10.1007/s10822-013-9691-1

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  75 in total

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Journal:  J Comput Chem       Date:  2003-12       Impact factor: 3.376

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Authors:  Ricky Chachra; Robert C Rizzo
Journal:  J Chem Theory Comput       Date:  2008-09-09       Impact factor: 6.006

4.  Assessing the performance of MM/PBSA and MM/GBSA methods. 3. The impact of force fields and ligand charge models.

Authors:  Lei Xu; Huiyong Sun; Youyong Li; Junmei Wang; Tingjun Hou
Journal:  J Phys Chem B       Date:  2013-07-08       Impact factor: 2.991

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Journal:  Virology       Date:  1986-01-15       Impact factor: 3.616

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Journal:  Eur J Biochem       Date:  1998-12-01

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Journal:  J Infect Dis       Date:  1998-11       Impact factor: 5.226

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1.  Emergence of H7N9 Influenza A Virus Resistant to Neuraminidase Inhibitors in Nonhuman Primates.

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2.  E119D Neuraminidase Mutation Conferring Pan-Resistance to Neuraminidase Inhibitors in an A(H1N1)pdm09 Isolate From a Stem-Cell Transplant Recipient.

Authors:  Arnaud G L'Huillier; Yacine Abed; Tom J Petty; Samuel Cordey; Yves Thomas; Xavier Bouhy; Manuel Schibler; Audrey Simon; Yves Chalandon; Christian van Delden; Evgeny Zdobnov; Patricia Boquete-Suter; Guy Boivin; Laurent Kaiser
Journal:  J Infect Dis       Date:  2015-05-17       Impact factor: 5.226

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Journal:  Acta Pharmacol Sin       Date:  2019-07-17       Impact factor: 6.150

4.  Cefminox, a Dual Agonist of Prostacyclin Receptor and Peroxisome Proliferator-Activated Receptor-Gamma Identified by Virtual Screening, Has Therapeutic Efficacy against Hypoxia-Induced Pulmonary Hypertension in Rats.

Authors:  Jingwen Xia; Li Yang; Liang Dong; Mengjie Niu; Shengli Zhang; Zhiwei Yang; Gulinuer Wumaier; Ying Li; Xiaomin Wei; Yi Gong; Ning Zhu; Shengqing Li
Journal:  Front Pharmacol       Date:  2018-02-23       Impact factor: 5.810

5.  Computational Simulation of HIV Protease Inhibitors to the Main Protease (Mpro) of SARS-CoV-2: Implications for COVID-19 Drugs Design.

Authors:  Wei Yu; Xiaomin Wu; Yizhen Zhao; Chun Chen; Zhiwei Yang; Xiaochun Zhang; Jiayi Ren; Yueming Wang; Changwen Wu; Chengming Li; Rongfeng Chen; Xiaoli Wang; Weihong Zheng; Huaxin Liao; Xiaohui Yuan
Journal:  Molecules       Date:  2021-12-05       Impact factor: 4.411

6.  Structure Based Affinity Maturation and Characterizing of SARS-CoV Antibody CR3022 against SARS-CoV-2 by Computational and Experimental Approaches.

Authors:  Wei Yu; Nan Zhong; Xin Li; Jiayi Ren; Yueming Wang; Chengming Li; Gui Yao; Rui Zhu; Xiaoli Wang; Zhenxing Jia; Changwen Wu; Rongfeng Chen; Weihong Zheng; Huaxin Liao; Xiaomin Wu; Xiaohui Yuan
Journal:  Viruses       Date:  2022-01-19       Impact factor: 5.048

7.  Understanding the cross-resistance of oseltamivir to H1N1 and H5N1 influenza A neuraminidase mutations using multidimensional computational analyses.

Authors:  Ashona Singh; Mahmoud E Soliman
Journal:  Drug Des Devel Ther       Date:  2015-07-31       Impact factor: 4.162

8.  TOPK promotes lung cancer resistance to EGFR tyrosine kinase inhibitors by phosphorylating and activating c-Jun.

Authors:  Ying Li; Zhiwei Yang; Weijie Li; Shudi Xu; Tao Wang; Ting Wang; Mengjie Niu; Shengli Zhang; Lintao Jia; Shengqing Li
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9.  miR-26a desensitizes non-small cell lung cancer cells to tyrosine kinase inhibitors by targeting PTPN13.

Authors:  Shudi Xu; Tao Wang; Zhiwei Yang; Ying Li; Weijie Li; Ting Wang; Shan Wang; Lintao Jia; Shengli Zhang; Shengqing Li
Journal:  Oncotarget       Date:  2016-07-19
  9 in total

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