NIH HPC News & Announcements
Biowulf Seminar Series: Bioinformatics Methods for Immunogen Conformational Stabilization and Antibody Resistance Prediction
Date: 05 June 2018 10:06:12
From: Susan Chacko
*Bioinformatics Methods for Immunogen Conformational Stabilization and
Antibody Resistance Prediction
**Gwo-Yu Chuang (NIAID/VRC)
**Location*: Bldg 50, Rm 1227 *
Date/Time*: Tue Jun 12, 2018, 11am-noon
Viral surface antigens can be used as subunit vaccines and are often
primary targets for neutralizing antibodies. However, for some viral
antigens such as HIV-1, conformational flexibility can prevent
elicitation of an effective neutralization response, and high sequence
diversity and mutation rates can reduce the efficacy of antibody
treatment. Here, I am going to discuss two topics: (1) immunogen
conformational stabilization and (2) antibody resistance prediction,
while demonstrating how both can be performed computationally. With
respect to immunogen conformational stabilization, I will first
illustrate different computational methods that can perform this task,
and then describe an automated pipeline, CRISPRo, that design proline
mutations for protein conformational stabilization. In regards to
antibody resistance prediction, I will present bNAb-ReP, a gradient
boosting machine learning algorithm developed to predict HIV-1 antibody
resistance with high accuracy for both training set data and viral
sequences obtained from clinical trials. The tools we developed here can
facilitate the discovery of effective subunit vaccines and will inform
clinical decisions of antibody usage when treating HIV positive patients.
Lab website:
https://www.niaid.nih.gov/research/peter-kwong-phd-structural-biology-section
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