Systematic transition modeling analysis in the MEF2B-DNA binding interface due to Y69H and K4E variants.

Lymphomas MEF2B Molecular dynamic simulations p300

Journal

Journal of molecular graphics & modelling
ISSN: 1873-4243
Titre abrégé: J Mol Graph Model
Pays: United States
ID NLM: 9716237

Informations de publication

Date de publication:
11 2021
Historique:
received: 24 12 2020
revised: 12 08 2021
accepted: 13 08 2021
pubmed: 22 8 2021
medline: 15 9 2021
entrez: 21 8 2021
Statut: ppublish

Résumé

Transcriptional coactivator myocyte enhancer factor 2B (MEF2B) mutations are the most common cause of germinal center-derived B-cell non-Hodgkin lymphoma. Despite well-established contributions in lymphomagenesis, the structure-function paradigms of these mutations are largely unknown. Here through in silico approaches, we present structural evaluation of two reported missense variants (K4E and Y69H) in MEF2B to investigate their impact on DNA-binding through molecular dynamics simulation assays. Notably, MEF2B-specific MADs box domain (Lys23, Arg24 and Lys31) and N-terminal loop residues (Gly2, Arg3, Lys4, Lys5, Ile6 and Asn13) contribute in DNA binding, while in MEF2B

Identifiants

pubmed: 34418874
pii: S1093-3263(21)00180-7
doi: 10.1016/j.jmgm.2021.108009
pii:
doi:

Substances chimiques

MEF2 Transcription Factors 0
MEF2B protein, human 0
DNA 9007-49-2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

108009

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Ayisha Zia (A)

National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan. Electronic address: azia@bs.qau.edu.pk.

Sajid Rashid (S)

National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan. Electronic address: sajid@qau.edu.pk.

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Classifications MeSH