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
-
The Detection of Adverse Events in Randomized Clinical Trials: Can we Really Say New Medicines are Safe?
Current Drug Safety Molecular Docking and Structure Activity Relationship Studies of NSAIDs. What do they Reveal about IC50?
Letters in Drug Design & Discovery The Role of Targeted HIV Screening in the Emergency Department: A Scoping Review
Current HIV Research Half-Life of Sulfonylureas in HNF1A and HNF4A Human MODY Patients is not Prolonged as Suggested by the Mouse Hnf1a<sup>-/-</sup> Model
Current Pharmaceutical Design Neuroimaging of the Serotonin Transporter: Possibilities and Pitfalls
Current Psychiatry Reviews The Pathogenesis, Complications and Therapeutic Strategy for Hepatitis C Virus-associated Insulin Resistance in the Era of Anti-viral Treatment
Reviews on Recent Clinical Trials Discharge Interventions and Modifiable Risk Factors for Preventing Hospital Readmissions in Children with Medical Complexity
Reviews on Recent Clinical Trials Risk Factors, CD4 Long-Term Evolution and Mortality of HIV-Infected Patients who Persistently Maintain Low CD4 Counts, Despite Virological Response to HAART
Current HIV Research Combinatorial Use of DNA Ligase Inhibitor L189 and Temozolomide Potentiates Cell Growth Arrest in HeLa
Current Cancer Therapy Reviews Clinical Outcomes of the Transplantation of Stem Cells from Various Human Tissue Sources in the Management of Liver Cirrhosis: A Systematic Review and Meta-Analysis
Current Stem Cell Research & Therapy Plant Sterols and Stanols as Cholesterol-Lowering Ingredients in Functional Foods
Recent Patents on Food, Nutrition & Agriculture The Role of Zinc in the Treatment of Taste Disorders
Recent Patents on Food, Nutrition & Agriculture Ethical Considerations in Conducting Pediatric and Neonatal Research in Clinical Pharmacology
Current Pharmaceutical Design Monitoring of Environmental Metals in Human Blood: The Need for Data Validation
Current Analytical Chemistry Determinants of Tobacco Use and Nicotine Dependence Among Healthcare Students and Their Undergraduate Peers
Current Respiratory Medicine Reviews The Role of the Endocannabinoid System in Eating Disorders: Neurochemical and Behavioural Preclinical Evidence
Current Pharmaceutical Design Colchicine, Biologic Agents and More for the Treatment of Familial Mediterranean Fever. The Old, the New, and the Rare
Current Medicinal Chemistry Butyrate and Colorectal Cancer: The Role of Butyrate Transport
Current Drug Metabolism Ethical Implications for Clinical Practice and Future Research in “At Risk” Individuals
Current Pharmaceutical Design Canine Nutritional Model: Influence of Age, Diet, and Genetics on Health and Well-Being
Current Nutrition & Food Science