Abstract
T cell immune responses are driven by the recognition of peptide antigens (T cell epitopes) that are bound to major histocompatibility complex (MHC) molecules. T cell epitope immunogenicity is thus contingent on several events, including appropriate and effective processing of the peptide from its protein source, stable peptide binding to the MHC molecule, and recognition of the MHC-bound peptide by the T cell receptor. Of these three hallmarks, MHC-peptide binding is the most selective event that determines T cell epitopes. Therefore, prediction of MHC-peptide binding constitutes the principal basis for anticipating potential T cell epitopes. The tremendous relevance of epitope identification in vaccine design and in the monitoring of T cell responses has spurred the development of many computational methods for predicting MHC-peptide binding that improve the efficiency and economics of T cell epitope identification. In this report, we will systematically examine the available methods for predicting MHC-peptide binding and discuss their most relevant advantages and drawbacks.
Current Pharmaceutical Design
Title: Prediction of MHC-Peptide Binding: A Systematic and Comprehensive Overview
Volume: 15 Issue: 28
Author(s): Esther M. Lafuente and Pedro A. Reche
Affiliation:
Keywords: Peptide, T cells, epitopes, MHC, HLA, prediction
Abstract: T cell immune responses are driven by the recognition of peptide antigens (T cell epitopes) that are bound to major histocompatibility complex (MHC) molecules. T cell epitope immunogenicity is thus contingent on several events, including appropriate and effective processing of the peptide from its protein source, stable peptide binding to the MHC molecule, and recognition of the MHC-bound peptide by the T cell receptor. Of these three hallmarks, MHC-peptide binding is the most selective event that determines T cell epitopes. Therefore, prediction of MHC-peptide binding constitutes the principal basis for anticipating potential T cell epitopes. The tremendous relevance of epitope identification in vaccine design and in the monitoring of T cell responses has spurred the development of many computational methods for predicting MHC-peptide binding that improve the efficiency and economics of T cell epitope identification. In this report, we will systematically examine the available methods for predicting MHC-peptide binding and discuss their most relevant advantages and drawbacks.
Export Options
About this article
Cite this article as:
Lafuente M. Esther and Reche A. Pedro, Prediction of MHC-Peptide Binding: A Systematic and Comprehensive Overview, Current Pharmaceutical Design 2009; 15 (28) . https://dx.doi.org/10.2174/138161209789105162
DOI https://dx.doi.org/10.2174/138161209789105162 |
Print ISSN 1381-6128 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4286 |
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Military Risk Factors for Cognitive Decline, Dementia and Alzheimer’s Disease
Current Alzheimer Research Current and Emerging Therapies in Neuroendocrine Tumors: Impact of Genetic Targets on Clinical Outcomes
Clinical Cancer Drugs SCYPPred: A Web-Based Predictor of SNPs for Human Cytochrome P450
Protein & Peptide Letters Synthesis and Biological Evaluation of Novel N' (4-aryloxybenzylidene)- 1H-Benzimidazole-2 Carbohydrazide Derivatives as Anti-Tubercular Agents
Combinatorial Chemistry & High Throughput Screening Protocatechuic Acid Alkyl Esters: Hydrophobicity As a Determinant Factor for Inhibition of NADPH Oxidase
Current Medicinal Chemistry Molecular Docking and Structure Activity Relationship Studies of NSAIDs. What do they Reveal about IC50?
Letters in Drug Design & Discovery A Novel Boolean Network for Analyzing the p53 Gene Regulatory Network
Current Bioinformatics Philosophical Issues in the Prodromal Phase of Psychosis
Current Pharmaceutical Design The CLCA Gene Family: Putative Therapeutic Target for Respiratory Diseases
Inflammation & Allergy - Drug Targets (Discontinued) Synthesis of New α-Amino Phosphonates Containing 3-Amino-4(3H) Quinazolinone Moiety as Anticancer and Antimicrobial Agents: DFT, NBO, and Vibrational Studies
Current Organic Synthesis Systematic Review and Quality Appraisal of International Guidelines on Perinatal Care of Extremely Premature Infants
Current Pediatric Reviews The Role of Disproportionality Analysis of Pharmacovigilance Databases in Safety Regulatory Actions: a Systematic Review
Current Drug Safety Vitamin D, Sunlight and Cancer Connection
Anti-Cancer Agents in Medicinal Chemistry Polyphenols: A Potential New Strategy for the Prevention and Treatment of Anxiety and Depression
Current Nutrition & Food Science Small-molecule Antiviral Agents in Ongoing Clinical Trials for COVID-19
Current Drug Targets The Prevalence of Depression in Alzheimer’s Disease: A Systematic Review and Meta-Analysis
Current Alzheimer Research Knowledge, Attitude, and Behavior in Avoiding Environmental Tobacco Smoke Exposure at Home among Pregnant Women
Current Women`s Health Reviews Personalizing Medicine from Birth: Are Countries Prepared for the Ethical, Legal, and Social Challenges?
Current Pharmacogenomics and Personalized Medicine Papillary Thyroid Carcinoma in Pediatric Age: An Example of a Rare Tumour Managed Within a Cooperative Comprehensive Project
Current Pediatric Reviews Doripenem: A New Addition to the Carbapenem Class of Antimicrobials
Recent Patents on Anti-Infective Drug Discovery