AIMC Topic: Antigens

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DLAB: deep learning methods for structure-based virtual screening of antibodies.

Bioinformatics (Oxford, England) Jan 3, 2022
MOTIVATION: Antibodies are one of the most important classes of pharmaceuticals, with over 80 approved molecules currently in use against a wide variety of diseases. The drug discovery process for antibody therapeutic candidates however is time- and ...
Software Deep Learning Antibodies Antigens
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Precision immunoprofiling to reveal diagnostic signatures for latent tuberculosis infection and reactivation risk stratification.

Integrative biology : quantitative biosciences from nano to macro Jan 1, 2019
Latent tuberculosis infection (LTBI) is estimated in nearly one quarter of the world's population, and of those immunocompetent and infected ~10% will proceed to active tuberculosis (TB). Current diagnostics cannot definitively identify LTBI and prov...
Humans Machine Learning Algorithms Cytokines Prospective Studies Biomarkers Female Aged Adult Male Middle Aged Risk Assessment Leukocytes, Mononuclear Computational Biology Mass Screening Immunoassay Workflow Mycobacterium tuberculosis Diagnostic Tests, Routine Silicon Latent Tuberculosis Tuberculin Test Immune System Antigens Photons
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Neopepsee: accurate genome-level prediction of neoantigens by harnessing sequence and amino acid immunogenicity information.

Annals of oncology : official journal of the European Society for Medical Oncology Apr 1, 2018
BACKGROUND: Tumor-specific mutations form novel immunogenic peptides called neoantigens. Neoantigens can be used as a biomarker predicting patient response to cancer immunotherapy. Although a predicted binding affinity (IC50) between peptide and majo...
Humans Machine Learning Amino Acids Datasets as Topic Antigens Genome
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