About Dark Proteome Database  


Simplifying the generation of insight from protein structures

Nelson Perdigão1,2, Agostinho Rosa1,2, Seán I. O’Donoghue3

Updated: June 2016
This indicates when the Dark Proteome Database (DPD) was last calculated.
PDB structures released since then are not yet available in DPD.

1. University of Lisbon, Portugal
2. Instituto de Sistemas e Robótica, Lisboa, Portugal
3. Garvan Institute of Medical Research, Sydney, Australia

Example1 | Example2 | Example3

Welcome to Dark Proteome Database (DPD)

This version covers UniProt KnowledgeBase (UniProtKB/Swiss-Prot) Release 2016_06. It contains annotations for characterisation of dark proteins and dark domains such as: order, disorder, transmembrane, globular and compositional bias from (UniProtKB/Swiss-Prot), PDB (X-Ray and NMR) and predictions from PSSH2 (Aquaria), PP (Predict Protein) and PMP (Protein Model Portal).

Citing the Dark Proteome Database

Dark Proteome Database: Studies on Disorder
Perdigão, N. et al. High-Throughput, 9.3 (2020): 15.
nih.gov doi

Dark Proteome Database: Studies on Dark Proteins
Perdigão, N. et al. High-Throughput, 8.2 (2019): 8.
nih.gov doi

The Dark Proteome Database
Perdigão, N. et al. Biodata Mining, 1 (2017): 10-24.
nih.gov doi

Unexpected features of the Dark Proteome
Perdigão, N. et al. Proceedings of the National Academy of Sciences, 112.52 (2015): 15898-15903.
nih.gov doi

Integrated resources

DPD uses resources from the following projects

© Copyright 2015-2021 Nelson Perdigão and ISR-IST-ULisboa, All Rights Reserved.