Literature DB >> 29982280

PepBDB: a comprehensive structural database of biological peptide-protein interactions.

Zeyu Wen1, Jiahua He1, Huanyu Tao1, Sheng-You Huang1.   

Abstract

Summary: A structural database of peptide-protein interactions is important for drug discovery targeting peptide-mediated interactions. Although some peptide databases, especially for special types of peptides, have been developed, a comprehensive database of cleaned peptide-protein complex structures is still not available. Such cleaned structures are valuable for docking and scoring studies in structure-based drug design. Here, we have developed PepBDB-a curated Peptide Binding DataBase of biological complex structures from the Protein Data Bank (PDB). PepBDB presents not only cleaned structures but also extensive information about biological peptide-protein interactions, and allows users to search the database with a variety of options and interactively visualize the search results. Availability and implementation: PepBDB is available at http://huanglab.phys.hust.edu.cn/pepbdb/.

Mesh:

Substances:

Year:  2019        PMID: 29982280     DOI: 10.1093/bioinformatics/bty579

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  Machine learning assessment of the binding region as a tool for more efficient computational receptor-ligand docking.

Authors:  Matjaž Simončič; Miha Lukšič; Maksym Druchok
Journal:  J Mol Liq       Date:  2022-02-18       Impact factor: 6.165

2.  Efficient 3D conformer generation of cyclic peptides formed by a disulfide bond.

Authors:  Huanyu Tao; Qilong Wu; Xuejun Zhao; Peicong Lin; Sheng-You Huang
Journal:  J Cheminform       Date:  2022-05-03       Impact factor: 8.489

3.  Propedia: a database for protein-peptide identification based on a hybrid clustering algorithm.

Authors:  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
Journal:  BMC Bioinformatics       Date:  2021-01-02       Impact factor: 3.169

4.  Theta-Defensins to Counter COVID-19 as Furin Inhibitors: In Silico Efficiency Prediction and Novel Compound Design.

Authors:  Manica Negahdaripour; Mohammad Reza Rahbar; Zahra Mosalanejad; Ahmad Gholami
Journal:  Comput Math Methods Med       Date:  2022-02-09       Impact factor: 2.238

Review 5.  Computational Modeling as a Tool to Investigate PPI: From Drug Design to Tissue Engineering.

Authors:  Juan J Perez; Roman A Perez; Alberto Perez
Journal:  Front Mol Biosci       Date:  2021-05-20
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.