TYLER, a fast method that accurately predicts cyclin-dependent proteins by using computation-based motifs and sequence-derived features

DOI10.3934/MBE.2021318zbMath1501.92102OpenAlexW3184860692MaRDI QIDQ2092088

Yanyan Li

Publication date: 2 November 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doaj.org/article/9dadfab7b444406a9311a61dbffdb647

zbMATH Keywords

machine learningcyclin-dependent proteinsgo analysissequence motifs

Mathematics Subject Classification ID

Protein sequences, DNA sequences (92D20) Computational methods for problems pertaining to biology (92-08)

Uses Software

• PSI-BLAST
• BLAST
• UniProt
• CyclinPred
• PANTHER

Cites Work

• Unnamed Item

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