AIMC Topic: Epitopes, T-Lymphocyte
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Multi-Omics Analysis of the virulence factors and designing of next-generation multi-epitopes Vaccines against Rickettsia prowazekii: a computer-aided vaccine designing approach.
Journal of computer-aided molecular design
May 26, 2025
Rickettsia is a genus of bacteria that are obligate intracellular parasites and are responsible for the febrile diseases known collectively as Rickettsioses. The emergence of antibiotic resistance is an escalating concern and thus developing a vaccin...
Multi-criteria decision making and its application to in silico discovery of vaccine candidates for Toxoplasma gondii.
Vaccine
May 15, 2025
Vaccine discovery against eukaryotic parasites is not trivial and few exist. Reverse vaccinology is an in silico vaccine discovery approach, designed to identify vaccine candidates from the thousands of protein sequences encoded by a target genome. P...
GRATCR: Epitope-Specific T Cell Receptor Sequence Generation With Data-Efficient Pre-Trained Models.
IEEE journal of biomedical and health informatics
Mar 6, 2025
T cell receptors (TCRs) play a crucial role in numerous immunotherapies targeting tumor cells. However, their acquisition and optimization present significant challenges, involving laborious and time-consuming wet lab experimental resource. Deep gene...
VaxOptiML: leveraging machine learning for accurate prediction of MHC-I and II epitopes for optimized cancer immunotherapy.
Immunogenetics
Dec 7, 2024
Cancer immunotherapy hinges on accurate epitope prediction for advancing vaccine development. VaxOptiML (available at https://vaxoptiml.streamlit.app/ ) is an integrated pipeline designed to enhance epitope prediction and prioritization. This study a...
Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines.
Nature communications
Nov 28, 2024
Next-generation T-cell-directed vaccines for COVID-19 focus on establishing lasting T-cell immunity against current and emerging SARS-CoV-2 variants. Precise identification of conserved T-cell epitopes is critical for designing effective vaccines. He...
Integrated structural proteomics and machine learning-guided mapping of a highly protective precision vaccine against mycoplasma pulmonis.
International immunopharmacology
Aug 16, 2024
Mycoplasma pulmonis (M. pulmonis) is an emerging respiratory infection commonly linked to prostate cancer, and it is classified under the group of mycoplasmas. Improved management of mycoplasma infections is essential due to the frequent ineffectiven...
TCR-H: explainable machine learning prediction of T-cell receptor epitope binding on unseen datasets.
Frontiers in immunology
Aug 16, 2024
Artificial-intelligence and machine-learning (AI/ML) approaches to predicting T-cell receptor (TCR)-epitope specificity achieve high performance metrics on test datasets which include sequences that are also part of the training set but fail to gener...
Reverse engineering protection: A comprehensive survey of reverse vaccinology-based vaccines targeting viral pathogens.
Vaccine
Mar 23, 2024
Vaccines have significantly reduced the impact of numerous deadly viral infections. However, there is an increasing need to expedite vaccine development in light of the recurrent pandemics and epidemics. Also, identifying vaccines against certain vir...
Construction of an aerolysin-based multi-epitope vaccine against an machine learning and artificial intelligence-supported approach.
Frontiers in immunology
Mar 1, 2024
, a gram-negative coccobacillus bacterium, can cause various infections in humans, including septic arthritis, diarrhea (traveler's diarrhea), gastroenteritis, skin and wound infections, meningitis, fulminating septicemia, enterocolitis, peritonitis,...
Experimental validation of immunogenic SARS-CoV-2 T cell epitopes identified by artificial intelligence.
Frontiers in immunology
Nov 17, 2023
During the COVID-19 pandemic we utilized an AI-driven T cell epitope prediction tool, the NEC Immune Profiler (NIP) to scrutinize and predict regions of T cell immunogenicity (hotspots) from the entire SARS-CoV-2 viral proteome. These immunogenic reg...
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