Literature DB >> 32990187

In silico improvement of the cyanobacterial lectin microvirin and mannose interaction.

Adonis de Melo Lima1, Andrei Santos Siqueira1, Marina Luiza Saraiva Möller1, Rafael Conceição de Souza2, Jorddy Neves Cruz1, Alex Ranieri Jerônimo Lima1, Ronaldo Correia da Silva1, Délia Cristina Figueira Aguiar1, João Lídio da Silva Gonçalves Vianez Junior2, Evonnildo Costa Gonçalves1.   

Abstract

Lectins that bind to HIV envelope glycoprotein can inhibit virus-cell fusion and be used for rational drug design. This paper presents the results of an in silico approach to improve affinity interaction between the cyanobacterial lectin microvirin and its ligand Manα(1-2)Man. Comparative modeling and molecular dynamics tools were used. Additionally, the alanine scanning webserver was used to study the importance of protein residues in the binding site and to guide mutant production. The model obtained presented two homologous domains designated as domains A and B, each consisting of a single strand with triple and antiparallel β-sheets of (β1-β3 and β6-β8). Disulfide bonds between the cysteines (Cys60-Cys80, Cys63-Cys78 and Cys8-Cys24) were also found. The highly conserved binding site, including residues Asn44, Ile45, Asp46, Gln54, Asn55, Glu58, Thr59, Gln81, Thr82 and Met83. The RMSD values of the di-mannose and the interaction site were very stable during the molecular dynamics. Calculations of the occupation time of the hydrogen bonds were made for the residues that showed interaction in the complex lectin and ligand. The residue that contributed most to the interaction with Manα(1-2)Man was Asn55. After validation, the model generated remained stable during the entire simulation. Despite its structural similarity with the template we used, our mutant (Thr82Arg) showed a higher affinity interaction with Manα(1-2)Man. Communicated by Ramaswamy H. Sarma.

Entities:  

Keywords:  Comparative modelling; cyanobacteria; lectin; microvirin; molecular dynamics

Mesh:

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Year:  2020        PMID: 32990187     DOI: 10.1080/07391102.2020.1821782

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  2 in total

1.  Molecular Modeling Approaches Can Reveal the Molecular Interactions Established between a Biofilm and the Bioactive Compounds of the Essential Oil of Piper divaricatum.

Authors:  Jorddy Neves Cruz; Mozaniel Santana de Oliveira; Eloisa Helena de Aguiar Andrade; Rafael Rodrigues Lima
Journal:  Molecules       Date:  2022-06-29       Impact factor: 4.927

2.  In Silico Evaluation of the Antimicrobial Activity of Thymol-Major Compounds in the Essential Oil of Lippia thymoides Mart. & Schauer (Verbenaceae).

Authors:  Jorddy Neves Cruz; Sebastião Gomes Silva; Daniel Santiago Pereira; Antônio Pedro da Silva Souza Filho; Mozaniel Santana de Oliveira; Rafael Rodrigues Lima; Eloisa Helena de Aguiar Andrade
Journal:  Molecules       Date:  2022-07-26       Impact factor: 4.927

  2 in total

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