PROPEDIA is a database of peptide-protein complexes clusterized in three methodologies: (i) peptide sequences; (ii) structure interface; and (iii) binding sites. PROPEDIA main goal is to give new insights into peptide design of biotechnological interests.
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PEPTIDE-PROTEIN COMPLEXES*
SEQUENCE CLUSTERS
INTERFACE CLUSTERS
BINDING SITE CLUSTERS
Pedro M. Martins, Lucianna H. Santos, Diego Mariano, Felippe C. Queiroz, Luana L. Bastos, Isabela de S. Gomes, Pedro H. C. Fischer, Rafael E. O. Rocha, Sabrina A. Silveira, Leonardo H. F. de Lima, Mariana T. Q. de Magalhães, Maria G. A. Oliveira & Raquel C. de Melo-Minardi (2021). Propedia: a database for protein–peptide identification based on a hybrid clustering algorithm. BMC bioinformatics, 22(1), 1-20.
| Complex? | Peptide size? | Receptor size? | Resolution (Å)? | Protein Name | Classification | Clusters |
|---|
Designed by:
MSc Pedro Martins
Dr. Lucianna H. Santos
Dr. Diego Mariano
Prof. Dr. Raquel de Melo-Minardi
Back-end:
MSc Pedro Martins
Front-end:
MSc Pedro Martins / Dr. Diego Mariano
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Financing and support:
CAPES / UFMG / LBS