Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

FuzDB

General information

URL: https://fuzdb.org
Full name: Database of fuzzy protein complexes
Description: FuzDB compiles experimentally observed fuzzy protein complexes, where intrinsic disorder (ID) is maintained upon interacting with a partner (protein, nucleic acid or small molecule) and directly impacts biological function.
Year founded: 2017
Last update: 2022
Version: v4.0
Accessibility:
Accessible
Country/Region: Hungary

Classification & Tag

Data type:
Data object:
NA
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: University of Debrecen
Address: H-4032 Debrecen Nagyerdei krt 98.
City: Debrecen
Province/State: Hajdu-Bihar
Country/Region: Hungary
Contact name (PI/Team): Monika Fuxreiter
Contact email (PI/Helpdesk): fmoni@med.unideb.hu

Publications

29477337
Fuzziness in Protein Interactions-A Historical Perspective. [PMID: 29477337]
Fuxreiter M.

The proposal that coupled folding to binding is not an obligatory mechanism for intrinsically disordered (ID) proteins was put forward 10 years ago. The notion of fuzziness implies that conformational heterogeneity can be maintained upon interactions of ID proteins, which has a functional impact either on regulated assembly or activity of the corresponding complexes. Here I review how the concept has evolved in the past decade, via increasing experimental data providing insights into the mechanisms, pathways and regulatory modes. The effects of structural diversity and transient contacts on protein assemblies have been collected and systematically analyzed (Fuzzy Complexes Database, http://protdyn-database.org). Fuzziness has also been exploited as a framework to decipher molecular organization of higher-order protein structures. Quantification of conformational heterogeneity opens exciting future perspectives for drug discovery from small molecule-ID protein interactions to supramolecular assemblies.

J Mol Biol. 2018:430(16) | 111 Citations (from Europe PMC, 2026-06-13)
27794553
FuzDB: database of fuzzy complexes, a tool to develop stochastic structure-function relationships for protein complexes and higher-order assemblies. [PMID: 27794553]
Miskei M, Antal C, Fuxreiter M.

FuzDB (http://protdyn-database.org) compiles experimentally observed fuzzy protein complexes, where intrinsic disorder (ID) is maintained upon interacting with a partner (protein, nucleic acid or small molecule) and directly impacts biological function. Entries in the database have both (i) structural evidence demonstrating the structural multiplicity or dynamic disorder of the ID region(s) in the partner bound form of the protein and (ii) in vitro or in vivo biological evidence that indicates the significance of the fuzzy region(s) in the formation, function or regulation of the assembly. Unlike the other intrinsically disordered or unfolded protein databases, FuzDB focuses on ID regions within a biological context, including higher-order assemblies and presents a detailed analysis of the structural and functional data. FuzDB also provides interpretation of experimental results to elucidate the molecular mechanisms by which fuzzy regions-classified on the basis of topology and mechanism-interfere with the structural ensembles and activity of protein assemblies. Regulatory sites generated by alternative splicing (AS) or post-translational modifications (PTMs) are also collected. By assembling all this information, FuzDB could be utilized to develop stochastic structure-function relationships for proteins and could contribute to the emergence of a new paradigm. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2017:45(D1) | 90 Citations (from Europe PMC, 2026-06-13)

Ranking

All databases:
662/6932 (90.465%)
Structure:
84/972 (91.461%)
662
Total Rank
193
Citations
21.444
z-index

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Record metadata

Created on: 2017-02-14
Curated by:
Sicheng Luo [2022-05-12]
Dong Zou [2019-01-04]
Shixiang Sun [2017-02-14]