ArticlePeerJ2016
Initiating a watch list for Ebola virus antibody escape mutations.
Article in PeerJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Investigating the effects of missense mutations on the dual Ras/Rap activation mechanism of SYNGAP1 using molecular modelling.Journal of structural biology: X · 2026Article
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- Sam-Sam Association Between EphA2 and SASH1: In Silico Studies of Cancer-Linked Mutations.Molecules (Basel, Switzerland) · 2025Article
- The importance of epistasis in the evolution of viral pathogens.Virus evolution · 2025Review
- Exploring the ability of the MD+FoldX method to predict SARS-CoV-2 antibody escape mutations using large-scale data.Scientific reports · 2024Article
- Exploring a Potential Optimization Route for Peptide Ligands of the Sam Domain from the Lipid Phosphatase Ship2.International journal of molecular sciences · 2024Article
- Atomistic simulations reveal impacts of missense mutations on the structure and function of SynGAP1.Briefings in bioinformatics · 2024Article
- Exploring the ability of the MD+FoldX method to predict SARS-CoV-2 antibody escape mutations using large-scale data.bioRxiv : the preprint server for biology · 2024Article
- Statistical modeling to quantify the uncertainty of FoldX-predicted protein folding and binding stability.BMC bioinformatics · 2023Article
- Structure of the Inmazeb cocktail and resistance to Ebola virus escape.Cell host & microbe · 2023Article
- The effect of mutations on binding interactions between the SARS-CoV-2 receptor binding domain and neutralizing antibodies B38 and CB6.Scientific reports · 2022Article
- Defining the HIV Capsid Binding Site of Nucleoporin 153.mSphere · 2022Article
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- EfgA is a conserved formaldehyde sensor that leads to bacterial growth arrest in response to elevated formaldehyde.PLoS biology · 2021Article
- Implementing and Assessing an Alchemical Method for Calculating Protein-Protein Binding Free Energy.Journal of chemical theory and computation · 2021Article
- Potential neutralizing antibodies discovered for novel corona virus using machine learning.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The 2014 Ebola virus (EBOV) outbreak in West Africa is the largest in recorded history and resulted in over 11,000 deaths. It is essential that strategies for treatment and containment be developed to avoid future epidemics of this magnitude. With the development of vaccines and antibody-based therapies using the envelope glycoprotein (GP) of the 1976 Mayinga strain, one important strategy is to anticipate how the evolution of EBOV might compromise these efforts. In this study we have initiated a watch list of potential antibody escape mutations of EBOV by modeling interactions between GP and the antibody KZ52. The watch list was generated using molecular modeling to estimate stability changes due to mutation. Every possible mutation of GP was considered and the list was generated from those that are predicted to disrupt GP-KZ52 binding but not to disrupt the ability of GP to fold and to form trimers. The resulting watch list contains 34 mutations (one of which has already been seen in humans) at six sites in the GP2 subunit. Should mutations from the watch list appear and spread during an epidemic, it warrants attention as these mutations may reflect an evolutionary response from the virus that could reduce the effectiveness of interventions such as vaccination. However, this watch list is incomplete and emphasizes the need for more experimental structures of EBOV interacting with antibodies in order to expand the watch list to other epitopes. We hope that this work provokes experimental research on evolutionary escape in both Ebola and other viral pathogens.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.