DisorderUnetLM: Validating ProteinUnet for efficient protein intrinsic disorder prediction.

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Bibliographic Details
Title: DisorderUnetLM: Validating ProteinUnet for efficient protein intrinsic disorder prediction.
Authors: Kotowski K; Department of Applied Informatics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland., Roterman I; Department of Bioinformatics and Telemedicine, Jagiellonian University Medical College, Medyczna 7, 30-688, Kraków, Poland., Stapor K; Department of Applied Informatics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland. Electronic address: katarzyna.stapor@polsl.pl.
Source: Computers in biology and medicine [Comput Biol Med] 2025 Feb; Vol. 185, pp. 109586. Date of Electronic Publication: 2024 Dec 20.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2024.109586