Syfpeithiepitope prediction The dominant search intent is to find information about the SYFPEITHI database, specifically its purpose, content, and relevance to MHC ligands and peptide motifs.
Tier 1 Entities and Phrases:
* SYFPEITHI database
* MHC ligands
* peptide motifs
* MHC class I and class II
* SYFPEITHI: database for MHC ligands and peptide motifs
Tier 2 Entities and Phrases:
* peptide sequences
* Databases
* MHCBN
* RANKPEP
* ProPred
* IEDB
* NetMHC
* epitope prediction
* humans and other species
Tier 3 Entities and Phrases:
* (Phrases that are repetitive or overly technical without clear benefit to the core topic, e.g., specific publication details unless directly illustrative of the database's scope.)
---
The SYFPEITHI database stands as a crucial resource for researchers investigating the intricate interactions between Major Histocompatibility Complex (MHC) molecules and peptide ligandsSYFPEITHI is a database comprising more than 7000 peptide sequencesknown to bind class I and class II MHC molecules.. Specifically designed to catalog MHC ligands and peptide motifs, SYFPEITHI provides a curated collection of peptide sequences known to bind to both MHC class I and class II moleculesA DATABASE OF MHC LIGANDS AND PEPTIDE MOTIFS (Ver. 2.0)SYFPEITHI is a database comprising more than 7000 peptide sequencesknown to bind class I and class II .... This database is instrumental in understanding T-cell epitope recognition and has been a foundational tool in immunological research since its inceptionRelated Links.
Major Histocompatibility Complex (MHC) molecules are a group of proteins found on the surface of cells that play a critical role in the adaptive immune system. They present peptide fragments, derived from proteins within the cell, to T cells. If the T cell recognizes the peptide as foreign (eSciCrunch | Research Resource Resolver.g., from a pathogen), it triggers an immune response.作者：KW Jørgensen·2010·被引用次数：41—Rammensee H, Bachmann J, Emmerich NP, Bachor OA, Stevanovic S (1999).SYFPEITHI: database for MHC ligands and peptide motifs. Immunogenetics. MHC ligands are the peptides that bind to these MHC molecules, and peptide motifs represent recurring patterns or characteristics within these ligands that dictate their binding specificity to particular MHC alleles.
The SYFPEITHI database compiles a significant number of these experimentally characterized peptide sequences. It includes ligands from humans as well as various other species, offering a broad perspective on MHC-peptide interactions across different organisms. This extensive collection aids in identifying potential T-cell epitopes and understanding the molecular basis of immune responses作者：H Rammensee·1999·被引用次数：3956—It contains a collection ofMHC class I and class II ligands and peptide motifsof humans and other species, such as apes, cattle, chicken, and mouse, for ....
At its core, SYFPEITHI is a repository of over 7000 peptide sequences. These sequences are not arbitrary; they are specifically identified as binding to either MHC class I or MHC class II moleculesSYFPEITHI: database for MHC ligands and peptide motifs. The database entries are compiled from various sources, including scientific literature, making it a valuable reference for a wide range of immunological studies.
Beyond simply listing sequences, SYFPEITHI has also been recognized for its utility in epitope prediction. While newer, more sophisticated prediction tools have emerged, SYFPEITHI's foundational collection of known ligands and motifs has informed the development of many subsequent algorithmsImmunogenetics (Springer Science+Business Media). Researchers often use SYFPEITHI in conjunction with other databases like IEDB (Immune Epitope Database) or predictive tools such as NetMHC for comparative analysis or to validate predictions.
The SYFPEITHI database has several key applications in the field of immunology and related disciplines:
* Epitope Discovery: Identifying potential peptide fragments that can elicit an immune response, crucial for vaccine development and understanding autoimmune diseases.
* Immunoinformatics: Providing empirical data to train and validate computational models for predicting peptide-MHC binding.
* Comparative Immunology: Studying variations in MHC-ligand binding across different species.
* Allergen Research: Investigating how allergens interact with MHC molecules to trigger allergic reactions.
The database's long-standing presence in the scientific community, with numerous citations in peer-reviewed publications, attests to its enduring importance. It serves as a benchmark and a starting point for many investigations into the complexities of the immune system's recognition mechanisms.
While SYFPEITHI is a cornerstone resource, it exists within a broader landscape of immunological databases and prediction tools.2025年8月10日—One of the first predictors developed wasSYFPEITHI[11] , based on a collection ofMHCclass-I and class-IIligands and peptide motifs; more ... Other notable resources include:
* MHCBN: A comprehensive database focused on MHC binding and related immunological dataMHC-I Ligand Discovery Using Targeted Database Searches ....
* RANKPEP: A tool that offers prediction of peptide binding to MHC class I and II molecules.
* IEDB (Immune Epitope Database): A vast repository of experimentally identified epitopes, including those related to MHC binding.
* NetMHC: A suite of popular and highly accurate tools for predicting peptide binding to MHC class I moleculesDescription:SYFPEITHI is a database comprising more than 7000 peptide sequencesknown to bind class I and class II MHC molecules. The entries are compiled from ....
Researchers often leverage SYFPEITHI alongside these other resources. SYFPEITHI's strength lies in its curated collection of experimentally validated ligands and motifs, providing a solid empirical foundation. When combined with advanced predictive algorithms, it allows for a more comprehensive understanding of peptide-MHC interactionsMHCBN: A comprehensive database of MHC binding and ....
The SYFPEITHI database remains a pivotal resource for scientists engaged in immunological researchSYFPEITHI: database for MHC ligands and peptide motifs. By providing a detailed collection of MHC ligands and peptide motifs, it offers invaluable insights into the fundamental processes of T-cell recognition and immune system function. Its extensive data, covering MHC class I and class II interactions across various species, continues to support advancements in areas ranging from infectious disease research to the development of novel immunotherapies and vaccines.
Join the newsletter to receive news, updates, new products and freebies in your inbox.