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Intra-Laboratory Evaluation of Luminescence Based High-Throughput Serum Bactericidal Assay (L-SBA) to Determine Bactericidal Activity of Human Sera against Shigella
Please note that, as of 21 September 2020, High-Throughput has been renamed to BioTech and is now published here.
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
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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.

AMA Style

Perdigão N, Pina PMC, Rocha C, Tavares JMRS, Rosa A. Dark Proteome Database: Studies on Disorder. High-Throughput. 2020; 9(3):15.

Chicago/Turabian Style

Perdigão, Nelson; Pina, Pedro M.C.; Rocha, Cátia; Tavares, João M.R.S.; Rosa, Agostinho. 2020. "Dark Proteome Database: Studies on Disorder" High-Throughput 9, no. 3: 15.

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