EPI-SF: essential protein identification in protein interaction networks using sequence features.

ABSTRACT: Proteins are considered indispensable for facilitating an organism's viability, reproductive capabilities, and other fundamental physiological functions. Conventional biological assays are characterized by prolonged duration, extensive labor requirements, and financial expenses in order to identify essential proteins. Therefore, it is widely accepted that employing computational methods is the most expeditious and effective approach to successfully discerning essential proteins. Despite being a popular choice in machine learning (ML) applications, the deep learning (DL) method is not suggested for this specific research work based on sequence features due to the restricted availability of high-quality training sets of positive and negative samples. However, some DL works on limited availab

SUBMITTER: Saha S 

PROVIDER: S-EPMC10944162 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature