AIMC Topic: Immunoglobulin Heavy Chains

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Nanobody screening and machine learning guided identification of cross-variant anti-SARS-CoV-2 neutralizing heavy-chain only antibodies.

PLoS pathogens Jan 23, 2025
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continues to persist, demonstrating the risks posed by emerging infectious diseases to national security, public health, and the economy. Development of new vaccines and antibodies for emer...
Humans Machine Learning COVID-19 SARS-CoV-2 Animals Peptide Library Antibodies, Viral Spike Glycoprotein, Coronavirus Antibodies, Neutralizing High-Throughput Screening Assays Single-Domain Antibodies Immunoglobulin Heavy Chains
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Applications and challenges in designing VHH-based bispecific antibodies: leveraging machine learning solutions.

mAbs Apr 26, 2024
The development of bispecific antibodies that bind at least two different targets relies on bringing together multiple binding domains with different binding properties and biophysical characteristics to produce a drug-like therapeutic. These buildin...
Humans Machine Learning Animals Single-Domain Antibodies Protein Engineering Antibodies, Bispecific Immunoglobulin Heavy Chains
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Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemia.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2020
OBJECTIVE: Unsupervised machine learning approaches hold promise for large-scale clinical data. However, the heterogeneity of clinical data raises new methodological challenges in feature selection, choosing a distance metric that captures biological...
Humans Prognosis Female Aged Aged, 80 and over Adult Leukemia, Lymphocytic, Chronic, B-Cell Male Middle Aged Unsupervised Machine Learning Mutation Proportional Hazards Models Kaplan-Meier Estimate ZAP-70 Protein-Tyrosine Kinase Immunoglobulin Heavy Chains
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