[HTML][HTML] T cell epitope prediction and its application to immunotherapy
T cells play a crucial role in controlling and driving the immune response with their ability to
discriminate peptides derived from healthy as well as pathogenic proteins. In this review, we …
discriminate peptides derived from healthy as well as pathogenic proteins. In this review, we …
HLA class I supertype classification based on structural similarity
HLA class I proteins, a critical component in adaptive immunity, bind and present
intracellular Ags to CD8+ T cells. The extreme polymorphism of HLA genes and associated …
intracellular Ags to CD8+ T cells. The extreme polymorphism of HLA genes and associated …
[HTML][HTML] Improved prediction of MHC-peptide binding using protein language models
Major histocompatibility complex Class I (MHC-I) molecules bind to peptides derived from
intracellular antigens and present them on the surface of cells, allowing the immune system …
intracellular antigens and present them on the surface of cells, allowing the immune system …
[HTML][HTML] Impact of structural observables from simulations to predict the effect of single-point mutations in MHC class II peptide binders
The prediction of peptide binders to Major Histocompatibility Complex (MHC) class II
receptors is of great interest to study autoimmune diseases and for vaccine development …
receptors is of great interest to study autoimmune diseases and for vaccine development …
[HTML][HTML] 3pHLA-score improves structure-based peptide-HLA binding affinity prediction
Binding of peptides to Human Leukocyte Antigen (HLA) receptors is a prerequisite for
triggering immune response. Estimating peptide-HLA (pHLA) binding is crucial for peptide …
triggering immune response. Estimating peptide-HLA (pHLA) binding is crucial for peptide …
The immunopeptidome from a genomic perspective: Establishing immune-relevant regions for cancer vaccine design
A longstanding disconnect between the growing number of MHC Class I immunopeptidomic
studies and genomic medicine hinders cancer vaccine design. We develop COD-dipp to …
studies and genomic medicine hinders cancer vaccine design. We develop COD-dipp to …
TCR-H: Machine Learning Prediction of T-cell Receptor Epitope Binding on Unseen Datasets
O Demerdash, JC Smith - bioRxiv, 2023 - biorxiv.org
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 …
performance metrics on test datasets which include sequences that are also part of the …
[PDF][PDF] A comprehensive library of canonical and non-canonical MHC class I antigens for cancer vaccine development.
A longstanding disconnect between the growing number of MHC Class I immunopeptidomic
studies and genomic medicine hinders cancer vaccine design. We develop COD-dipp to …
studies and genomic medicine hinders cancer vaccine design. We develop COD-dipp to …
Enhancing Protein Interaction Prediction Using Deep Learning and Protein Language Models
N Hashemi - 2023 - search.proquest.com
Proteins are large macromolecules that play critical roles in many cellular activities in living
organisms. These include catalyzing metabolic reactions, mediating signal transduction …
organisms. These include catalyzing metabolic reactions, mediating signal transduction …
APPLICATION OF MACHINE LEARNING APPROACHES TO EMPOWER DRUG DEVELOPMENT
Y Shen - 2023 - trace.tennessee.edu
Human health, one of the major topics in Life Science, is facing intensified challenges,
including cancer, pandemic outbreaks, and antimicrobial resistance. Thus, new medicines …
including cancer, pandemic outbreaks, and antimicrobial resistance. Thus, new medicines …