PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning
- 26 November 2022
- journal article
- research article
- Published by Elsevier in Computers in Biology and Medicine
- Vol. 152, 106368
Abstract
No abstract availableKeywords
Funding Information
- Mahidol University
- Chiang Mai University
This publication has 60 references indexed in Scilit:
- Properties of MHC Class I Presented Peptides That Enhance ImmunogenicityPLOS Computational Biology, 2013
- SCMCRYS: Predicting Protein Crystallization Using an Ensemble Scoring Card Method with Estimating Propensity Scores of P-Collocated Amino Acid PairsPLOS ONE, 2013
- Prediction and Analysis of Antibody Amyloidogenesis from SequencesPLOS ONE, 2013
- Structural analysis of B-cell epitopes in antibody:protein complexesMolecular Immunology, 2013
- Identification of a Novel CD8+ T Cell Epitope Derived from Cancer‐Testis Antigen MAGE‐4 in Oesophageal CarcinomaScandinavian Journal of Immunology, 2011
- Issues in bioinformatics benchmarking: the case study of multiple sequence alignmentNucleic Acids Research, 2010
- Crossreactive T Cells Spotlight the Germline Rules for αβ T Cell-Receptor Interactions with MHC MoleculesImmunity, 2008
- Identification of tumour-associated t-cell epitopes for vaccine developmentNature Reviews Cancer, 2002
- Enhancement of antitumor immunity by prolonging antigen presentation on dendritic cellsNature Biotechnology, 2002
- A simple method for displaying the hydropathic character of a proteinJournal of Molecular Biology, 1982