Protein Ensemble Database

Protein Ensemble Database provides a repository of structural ensembles for intrinsically disordered proteins (IDPs) and associated metadata to support analysis of ensemble models and integration with experimental restraints.


Key Features:

  • Data deposition: Accepts deposition of structural ensembles and associated metadata for ensemble models of IDPs.
  • Repository size: Contains 162 entries and 242 structural ensembles.
  • IDP focus: Concentrates on intrinsically disordered proteins (IDPs) and their structural ensembles.
  • Ensemble generation methods: Represents a broad range of state-of-the-art ensemble generation methods.
  • Curation and quality control: Uses a submission process with automatic and manual evaluation and biocurators who incorporate structured metadata describing ensemble generation methodology, experimental constraints, and conditions.
  • Search and cross-references: Provides an advanced search engine for complex queries across all entry fields and cross-references to DisProt, MobiDB, BMRB, and SASBDB.

Scientific Applications:

  • Atomic-level analysis of IDP function: Enables investigation of structural dynamics and ensemble properties to support atomic-level interpretation of IDP behavior.
  • Structure-based drug design: Supports rational, structure-based design of drugs targeting intrinsically disordered proteins by providing ensemble models and associated constraints.
  • Method benchmarking and comparison: Facilitates comparative assessment and benchmarking of ensemble generation methods.
  • Integration with experimental data: Allows incorporation and interpretation of experimental constraints and conditions alongside ensemble models.

Methodology:

The submission workflow integrates automatic and manual evaluation steps; biocurators add structured metadata describing ensemble generation methodology and experimental constraints and conditions; and an advanced search engine enables complex queries and cross-references to DisProt, MobiDB, BMRB, and SASBDB.

Topics

Details

License:
CC-BY-4.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
api, web application
Operating Systems:
Mac, Linux, Windows
Added:
7/5/2021
Last Updated:
7/5/2021

Operations

Publications

Lazar T, Martínez-Pérez E, Quaglia F, Hatos A, Chemes LB, Iserte JA, Méndez NA, Garrone NA, Saldaño TE, Marchetti J, Rueda AJV, Bernadó P, Blackledge M, Cordeiro TN, Fagerberg E, Forman-Kay JD, Fornasari MS, Gibson TJ, Gomes GW, Gradinaru CC, Head-Gordon T, Jensen MR, Lemke EA, Longhi S, Marino-Buslje C, Minervini G, Mittag T, Monzon AM, Pappu RV, Parisi G, Ricard-Blum S, Ruff KM, Salladini E, Skepö M, Svergun D, Vallet SD, Varadi M, Tompa P, Tosatto SCE, Piovesan D. PED in 2021: a major update of the protein ensemble database for intrinsically disordered proteins. Nucleic Acids Research. 2020;49(D1):D404-D411. doi:10.1093/nar/gkaa1021. PMID:33305318. PMCID:PMC7778965.

PMID: 33305318
PMCID: PMC7778965
Funding: - Italian Ministry of University and Research: 2017483NH8 - Horizon 2020: 778247, 871037 - Hungarian Scientific Research Fund: K124670, K131702 - Universidad Nacional de Quilmes: PUNQ 1309/19 - National Agency for the Promotion of Science and Technology: PICT-2014-3430 - LBC: PICT-2017-1924 - Fondation pour la Recherche Médicale: DBI20141231336 - Natural Sciences and Engineering Research Council of Canada: RGPIN 2017-0603 - Agence Nationale de la Recherche: ANR-10-LABX-12-01 - National Institutes of Health: 5R01GM127627-03 - German Ministry of Science and Education: 16QK10A - Vrije Universiteit Brussel: SRP51

Documentation