PhyCysID: Plant Cystatin Protein Prediction by an Artificial Intelligence Approach.

ABSTRACT: Phytocystatins are proteinaceous inhibitors found in plants that competitively target various classes of cysteine proteinases, including papain-like enzymes, cathepsins, and legumains. Based on structural characteristics and gene organization, phytocystatins can be classified into four subtypes: intronless (I1 and I2), intron-containing (IwI), and multidomain cystatins containing more than one inhibitory region (II). This work presents PhyCysID, a dedicated web server designed for the rapid classification of phytocystatin subtypes. PhyCysID uses a set of 21 features derived from amino acid composition, in combination with 15 distinct machine learning algorithms, to classify phytocystatin sequences into one of the four subtypes. Initially, the input sequence is analyzed to verify if it comp

SUBMITTER: Aqil S 

PROVIDER: S-EPMC12458679 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature