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  Prediction of HIV-1 Sensitivity to Broadly Neutralizing Antibodies Shows a Trend towards Resistance over Time

Hake, A., & Pfeifer, N. (2017). Prediction of HIV-1 Sensitivity to Broadly Neutralizing Antibodies Shows a Trend towards Resistance over Time. PLoS Computational Biology, 13(10): e1005789. doi:10.1371/journal.pcbi.1005789.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002E-3127-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002E-813C-0
Genre: Journal Article
Latex : Prediction of {HIV}-1 Sensitivity to Broadly Neutralizing Antibodies Shows a Trend towards Resistance over Time

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Copyright: ©2017 Hake,Pfeifer. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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 Creators:
Hake, Anna1, Author           
Pfeifer, Nico1, Author           
Affiliations:
1Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046              

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Language(s): eng - English
 Dates: 2017
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: HakePfeifer2017
DOI: 10.1371/journal.pcbi.1005789
PMC: PMC5669501
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Title: PLoS Computational Biology
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 13 (10) Sequence Number: e1005789 Start / End Page: - Identifier: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1