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Initiating a watch list for Ebola virus antibody escape mutations

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 thera...

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Autores principales: Miller, Craig R., Johnson, Erin L., Burke, Aran Z., Martin, Kyle P., Miura, Tanya A., Wichman, Holly A., Brown, Celeste J., Ytreberg, F. Marty
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4768679/
https://www.ncbi.nlm.nih.gov/pubmed/26925318
http://dx.doi.org/10.7717/peerj.1674
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author Miller, Craig R.
Johnson, Erin L.
Burke, Aran Z.
Martin, Kyle P.
Miura, Tanya A.
Wichman, Holly A.
Brown, Celeste J.
Ytreberg, F. Marty
author_facet Miller, Craig R.
Johnson, Erin L.
Burke, Aran Z.
Martin, Kyle P.
Miura, Tanya A.
Wichman, Holly A.
Brown, Celeste J.
Ytreberg, F. Marty
author_sort Miller, Craig R.
collection PubMed
description 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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spelling pubmed-47686792016-02-26 Initiating a watch list for Ebola virus antibody escape mutations Miller, Craig R. Johnson, Erin L. Burke, Aran Z. Martin, Kyle P. Miura, Tanya A. Wichman, Holly A. Brown, Celeste J. Ytreberg, F. Marty PeerJ Biophysics 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. PeerJ Inc. 2016-02-16 /pmc/articles/PMC4768679/ /pubmed/26925318 http://dx.doi.org/10.7717/peerj.1674 Text en ©2016 Miller et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Biophysics
Miller, Craig R.
Johnson, Erin L.
Burke, Aran Z.
Martin, Kyle P.
Miura, Tanya A.
Wichman, Holly A.
Brown, Celeste J.
Ytreberg, F. Marty
Initiating a watch list for Ebola virus antibody escape mutations
title Initiating a watch list for Ebola virus antibody escape mutations
title_full Initiating a watch list for Ebola virus antibody escape mutations
title_fullStr Initiating a watch list for Ebola virus antibody escape mutations
title_full_unstemmed Initiating a watch list for Ebola virus antibody escape mutations
title_short Initiating a watch list for Ebola virus antibody escape mutations
title_sort initiating a watch list for ebola virus antibody escape mutations
topic Biophysics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4768679/
https://www.ncbi.nlm.nih.gov/pubmed/26925318
http://dx.doi.org/10.7717/peerj.1674
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