AIMC Topic: Neutralization Tests

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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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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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Utilizing Machine Learning to Improve Neutralization Potency of an HIV-1 Antibody Targeting the gp41 N-Heptad Repeat.

ACS chemical biology Jul 18, 2025
The N-heptad repeat (NHR) of the HIV-1 gp41 prehairpin intermediate (PHI) is an attractive potential vaccine target with high sequence conservation across diverse strains. However, despite the potency of NHR-targeting peptides and clinical efficacy o...
Humans Machine Learning Antibodies, Monoclonal Models, Molecular Antibodies, Neutralizing HIV-1 HIV Envelope Protein gp41 HIV Antibodies Neutralization Tests
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