Next Article in Journal
Influence of the Ovine Genital Tract Microbiota on the Species Artificial Insemination Outcome. A Pilot Study in Commercial Sheep Farms
Previous Article in Journal
Intra-Laboratory Evaluation of Luminescence Based High-Throughput Serum Bactericidal Assay (L-SBA) to Determine Bactericidal Activity of Human Sera against Shigella
Open AccessArticle

Dark Proteome Database: Studies on Disorder

Instituto de Sistemas e Robótica, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, 4200-465 Porto, Portugal
Author to whom correspondence should be addressed.
High-Throughput 2020, 9(3), 15;
Received: 27 April 2020 / Revised: 17 June 2020 / Accepted: 18 June 2020 / Published: 30 June 2020
There is a misconception that intrinsic disorder in proteins is equivalent to darkness. The present study aims to establish, in the scope of the Swiss-Prot and Dark Proteome databases, the relationship between disorder and darkness. Three distinct predictors were used to calculate the disorder of Swiss-Prot proteins. The analysis of the results obtained with the used predictors and visualization paradigms resulted in the same conclusion that was reached before: disorder is mostly unrelated to darkness. View Full-Text
Keywords: proteins; prediction; intrinsic disorder proteins; prediction; intrinsic disorder
Show Figures

Figure 1

MDPI and ACS Style

Perdigão, N.; Pina, P.M.C.; Rocha, C.; Tavares, J.M.R.S.; Rosa, A. Dark Proteome Database: Studies on Disorder. High-Throughput 2020, 9, 15.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop