Health AI Central
Share:
Peer-Reviewed Publication
NAR Genom Bioinform2023;5(2):lqad041.June 1, 2023Journal Article

ADOPT: intrinsic protein disorder prediction through deep bidirectional transformers.

Istvan Redl1, Carlo Fisicaro1, Oliver Dutton1, Falk Hoffmann1, Louie Henderson1, Benjamin M J Owens1, Matthew Heberling1, Emanuele Paci1,2, Kamil Tamiola1
1Peptone Ltd, 370 Grays Inn Road, London WC1X 8BB, UK.
2Department of Physics and Astronomy 'Augusto Righi', University of Bologna, 40127 Bologna, Italy.
PubMed PMC DOI PDF

Abstract

Intrinsically disordered proteins (IDPs) are important for a broad range of biological functions and are involved in many diseases. An understanding of intrinsic disorder is key to develop compounds that target IDPs. Experimental characterization of IDPs is hindered by the very fact that they are highly dynamic. Computational methods that predict disorder from the amino acid sequence have been pro…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.