NRPreTo: A Machine Learning-Based Nuclear Receptor and Subfamily Prediction Tool.

ABSTRACT: The nuclear receptor (NR) superfamily includes phylogenetically related ligand-activated proteins, which play a key role in various cellular activities. NR proteins are subdivided into seven subfamilies based on their function, mechanism, and nature of the interacting ligand. Developing robust tools to identify NR could give insights into their functional relationships and involvement in disease pathways. Existing NR prediction tools only use a few types of sequence-based features and are tested on relatively similar independent datasets; thus, they may suffer from overfitting when extended to new genera of sequences. To address this problem, we developed Nuclear Receptor Prediction Tool (NRPreTo), a two-level NR prediction tool with a unique training approach where in addition to the sequ

SUBMITTER: Madugula SS 

PROVIDER: S-EPMC10268018 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature