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Related Concept Videos

Conserved Binding Sites01:49

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Ligand Binding Sites02:40

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...

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Related Experiment Video

Updated: Jul 5, 2026

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
07:59

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

Published on: March 25, 2014

HLA-peptide binding prediction using structural and modeling principles.

Pandjassarame Kangueane1, Meena Kishore Sakharkar

  • 1School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore.

Methods in Molecular Biology (Clifton, N.J.)
|May 3, 2008
PubMed
Summary
This summary is machine-generated.

Predicting peptide binding to human leukocyte antigen (HLA) alleles is crucial for vaccine development. Computational methods offer a faster, cheaper alternative to experimental assays for identifying effective peptide candidates.

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Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis

Published on: October 15, 2021

Area of Science:

  • Immunology
  • Computational Biology
  • Vaccine Development

Background:

  • Short peptides binding to specific human leukocyte antigen (HLA) alleles can elicit immune responses, making them valuable for vaccine design.
  • Current experimental methods for estimating peptide-HLA binding, like competitive binding assays, are laborious and expensive for large-scale screening.
  • The identification of immunogenic peptides is essential for developing effective peptide-based vaccines.

Purpose of the Study:

  • To review the current status and advancements in prediction approaches for peptide binding to HLA alleles.
  • To highlight the growing importance of computational methods in identifying candidate peptides for vaccine development.
  • To discuss the potential of structure and modeling principles in predicting peptide-HLA interactions.

Main Methods:

  • Review of existing literature on computational prediction methods for peptide-HLA binding.
  • Discussion of structural and modeling principles applied in peptide-HLA binding prediction.
  • Analysis of the feasibility and limitations of prediction approaches compared to experimental assays.

Main Results:

  • Prediction approaches for short listing candidate peptides have recently become feasible.
  • The use of structural and modeling principles for predicting peptide binding to HLA alleles is gaining momentum.
  • Computational methods offer a promising alternative to laborious and expensive experimental screening.

Conclusions:

  • Prediction methods are increasingly important for efficient identification of peptide candidates for vaccines.
  • Advancements in computational approaches are revolutionizing peptide-based vaccine design.
  • Further development in prediction algorithms will accelerate the discovery of novel peptide vaccines.