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Title: Estimation of the breadth of CD4bs targeting HIV antibodies by molecular modeling and machine learning

Authors:
ORCiD logo; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1506165
Grant/Contract Number:  
LLC Award #B620960
Resource Type:
Published Article
Journal Name:
PLoS Computational Biology (Online)
Additional Journal Information:
Journal Name: PLoS Computational Biology (Online) Journal Volume: 15 Journal Issue: 4; Journal ID: ISSN 1553-7358
Publisher:
Public Library of Science (PLoS)
Country of Publication:
United States
Language:
English

Citation Formats

Conti, Simone, Karplus, Martin, and Wallqvist, ed., Anders. Estimation of the breadth of CD4bs targeting HIV antibodies by molecular modeling and machine learning. United States: N. p., 2019. Web. doi:10.1371/journal.pcbi.1006954.
Conti, Simone, Karplus, Martin, & Wallqvist, ed., Anders. Estimation of the breadth of CD4bs targeting HIV antibodies by molecular modeling and machine learning. United States. doi:10.1371/journal.pcbi.1006954.
Conti, Simone, Karplus, Martin, and Wallqvist, ed., Anders. Wed . "Estimation of the breadth of CD4bs targeting HIV antibodies by molecular modeling and machine learning". United States. doi:10.1371/journal.pcbi.1006954.
@article{osti_1506165,
title = {Estimation of the breadth of CD4bs targeting HIV antibodies by molecular modeling and machine learning},
author = {Conti, Simone and Karplus, Martin and Wallqvist, ed., Anders},
abstractNote = {},
doi = {10.1371/journal.pcbi.1006954},
journal = {PLoS Computational Biology (Online)},
number = 4,
volume = 15,
place = {United States},
year = {2019},
month = {4}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1371/journal.pcbi.1006954

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Cited by: 1 work
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