Literature DB >> 27914052

Applications of Normal Mode Analysis Methods in Computational Protein Design.

Vincent Frappier1,2, Matthieu Chartier2, Rafael Najmanovich3,4.   

Abstract

Recent advances in coarse-grained normal mode analysis methods make possible the large-scale prediction of the effect of mutations on protein stability and dynamics as well as the generation of biologically relevant conformational ensembles. Given the interplay between flexibility and enzymatic activity, the combined analysis of stability and dynamics using the Elastic Network Contact Model (ENCoM) method has ample applications in protein engineering in industrial and medical applications such as in computational antibody design. Here, we present a detailed tutorial on how to perform such calculations using ENCoM.

Keywords:  Mutations; Normal mode analysis; Protein dynamics; Protein engineering; Protein stability; Vibrational entropy

Mesh:

Substances:

Year:  2017        PMID: 27914052     DOI: 10.1007/978-1-4939-6637-0_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  A computational study for rational HIV-1 non-nucleoside reverse transcriptase inhibitor selection and the discovery of novel allosteric pockets for inhibitor design.

Authors:  Ron Zhi-Hui Chiang; Samuel Ken-En Gan; Chinh Tran-To Su
Journal:  Biosci Rep       Date:  2018-03-05       Impact factor: 3.840

2.  Structural Implications of Mutations Conferring Rifampin Resistance in Mycobacterium leprae.

Authors:  Sundeep Chaitanya Vedithi; Sony Malhotra; Madhusmita Das; Sheela Daniel; Nanda Kishore; Anuja George; Shantha Arumugam; Lakshmi Rajan; Mannam Ebenezer; David B Ascher; Eddy Arnold; Tom L Blundell
Journal:  Sci Rep       Date:  2018-03-22       Impact factor: 4.379

3.  Functional diversity of TMPRSS6 isoforms and variants expressed in hepatocellular carcinoma cell lines.

Authors:  Sébastien P Dion; François Béliveau; Louis-Philippe Morency; Antoine Désilets; Rafaël Najmanovich; Richard Leduc
Journal:  Sci Rep       Date:  2018-08-22       Impact factor: 4.379

4.  "Infostery" analysis of short molecular dynamics simulations identifies highly sensitive residues and predicts deleterious mutations.

Authors:  Yasaman Karami; Tristan Bitard-Feildel; Elodie Laine; Alessandra Carbone
Journal:  Sci Rep       Date:  2018-10-31       Impact factor: 4.379

  4 in total

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