E-Volve

E-Volve models and analyzes mutations in protein complexes to assess structural and functional impacts on the SARS-CoV-2 spike protein and its interactions with antibodies and the ACE2 receptor.


Key Features:

  • Mutation Modeling: Uses Modeller to generate structural models of protein complexes incorporating specified mutations.
  • Variant Analysis: Analyzes variants of concern B.1.1.7 (Alpha), B.1.351 (Beta), and P.1 (Gamma), producing contact maps and heat maps to visualize interactions in spike-antibody and spike-ACE2 complexes.
  • Interaction Mapping: Highlights interface changes due to mutations, with focus on alterations such as N501Y and E484K that affect antibody neutralization and receptor affinity.
  • Electrostatic and Hydrophobic Analysis: Assesses electrostatic surface complementarity and identifies new hydrophobic bonds to evaluate effects on binding affinities with antibodies P17 and BD-368-2 and the ACE2 receptor.
  • Molecular Dynamics Simulations: Performs molecular dynamics simulations followed by Poisson-Boltzmann calculations to evaluate changes in complementarity and protein conformational equilibrium.
  • Conformational Disorder Analysis: Examines local structural disorder, including the loop α1'/β1', to assess potential effects on antibody affinity.

Scientific Applications:

  • Research on Viral Evolution: Characterizing how specific mutations alter viral behavior and contribute to lineage evolution, including immune escape mechanisms.
  • Antibody Efficacy Studies: Evaluating the impact of mutations on antibody neutralization to inform vaccine and therapeutic assessments.
  • Receptor Binding Analysis: Investigating changes in ACE2 binding affinity that may influence transmissibility and pathogenicity.

Methodology:

Structural modeling with Modeller; generation of contact maps and heat maps; interaction/interface mapping highlighting mutations (e.g., N501Y, E484K); electrostatic surface complementarity and hydrophobic bond analysis; molecular dynamics simulations followed by Poisson-Boltzmann calculations; and analysis of local conformational disorder (loop α1'/β1').

Topics

Collections

Details

License:
Not licensed
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
6/25/2022
Last Updated:
11/24/2024

Operations

Publications

Dos Santos VP, Rodrigues A, Dutra G, Bastos L, Mariano D, Mendonça JG, Lobo YJG, Mendes E, Maia G, Machado KdS, Werhli AV, Rocha G, de Lima LHF, de Melo-Minardi R. E-Volve: understanding the impact of mutations in SARS-CoV-2 variants spike protein on antibodies and ACE2 affinity through patterns of chemical interactions at protein interfaces. PeerJ. 2022;10:e13099. doi:10.7717/peerj.13099. PMID:35341044. PMCID:PMC8953562.

PMID: 35341044
PMCID: PMC8953562
Funding: - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil: 001 (51/2013-23038.004007/2014-82). Laboratório Nacional de Computação Científica–LNCC, Petrópolis/RJ, Brazil

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