Accurate Prediction for Antibody Resistance of Clinical HIV-1 Isolates

<div><p>Broadly neutralizing antibodies (bNAbs) targeting the HIV-1 envelope glycoprotein (Env) have promising utility in prevention and treatment of HIV-1 infection, and several are currently undergoing clinical trials. Due to the high sequence diversity and mutation rate of HIV-1, vira...

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Bibliographic Details
Main Author:	Reda Rawi (391865) (author)
Other Authors:	Raghvendra Mall (581171) (author), Chen-Hsiang Shen (1577383) (author), S. Katie Farney (6806957) (author), Andrea Shiakolas (18618385) (author), Jing Zhou (168494) (author), Halima Bensmail (10400) (author), Tae-Wook Chun (73430) (author), Nicole A. Doria-Rose (8026886) (author), Rebecca M. Lynch (11434669) (author), John R. Mascola (229761) (author), Peter D. Kwong (161423) (author), Gwo-Yu Chuang (758832) (author)
Published:	2019
Subjects:	Biomedical and clinical sciences Clinical sciences Information and computing sciences Machine learning HIV-1 Envelope glycoprotein (Env) Prevention Treatment Clinical trials Viral isolates Resistance
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Accurate Prediction for Antibody Resistance of Clinical HIV-1 Isolates

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