AIMC Topic: Broadly Neutralizing Antibodies

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AI designed, mutation resistant broad neutralizing antibodies against multiple SARS-CoV-2 strains.

Scientific reports May 3, 2025
In this study, we developed a digital twin for SARS-CoV-2 by integrating diverse data and metadata with multiple data types and processing strategies, including machine learning, natural language processing, protein structural modeling, and protein s...
Humans Artificial Intelligence Machine Learning COVID-19 SARS-CoV-2 Antibodies, Viral Spike Glycoprotein, Coronavirus Mutation Antibodies, Neutralizing Broadly Neutralizing Antibodies Neutralization Tests
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Learning patterns of HIV-1 resistance to broadly neutralizing antibodies with reduced subtype bias using multi-task learning.

PLoS computational biology Nov 20, 2024
The ability to predict HIV-1 resistance to broadly neutralizing antibodies (bnAbs) will increase bnAb therapeutic benefits. Machine learning is a powerful approach for such prediction. One challenge is that some HIV-1 subtypes in currently available ...
Humans Machine Learning HIV Infections Computational Biology Epitopes Antibodies, Neutralizing HIV-1 HIV Antibodies Broadly Neutralizing Antibodies
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Accurate Prediction for Antibody Resistance of Clinical HIV-1 Isolates.

Scientific reports Oct 11, 2019
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 an...
Humans Computer Simulation Prognosis Deep Learning HIV Infections HIV-1 Data Accuracy Drug Resistance, Viral HIV Antibodies Epitope Mapping Binding Sites, Antibody Broadly Neutralizing Antibodies Immunoglobulin Idiotypes Neutralization Tests env Gene Products, Human Immunodeficiency Virus
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