Propedia: a database for protein–peptide identification based on a hybrid clustering algorithm

Propedia: a database for protein–peptide identification based on a hybrid clustering algorithm

Background: Protein–peptide interactions play a fundamental role in a wide variety of biological processes, such as cell signaling, regulatory networks, immune responses, and enzyme inhibition. Peptides are characterized by low toxicity and small interface areas; therefore, they are good targets for...

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Bibliographic Details
Main Authors: Bastos, L.L (Author), de Lima, L.H.F (Author), de Magalhães, M.T.Q (Author), de Melo-Minardi, R.C (Author), Fischer, P.H.C (Author), Gomes, I.S (Author), Mariano, D. (Author), Martins, P.M (Author), Oliveira, M.G.A (Author), Queiroz, F.C (Author), Rocha, R.E.O (Author), Santos, L.H (Author), Silveira, S.A (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
algorithm
Algorithms
Binding sites
Bioinformatics
Cell signaling
chemistry
Clustering
Clustering algorithms
Complex networks
Comprehensive analysis
Database
database management system
Database Management Systems
Database systems
Databases, Protein
Enzyme inhibition
Free energy
Free-energy calculations
Functional interface
High-resolution structures
HTTP
human
Humans
Hybrid clustering algorithm
Molecular dynamics
peptide
Peptide identification
Peptides
Pharmaceutical market
protein
protein database
Protein design
Protein structure
Protein–peptide complexes
Proteins
Sequence informations
Webserver
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Internet

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