Machine learning in computational modelling of membrane protein sequences and structures: From methodologies to applications.

ABSTRACT: Membrane proteins mediate a wide spectrum of biological processes, such as signal transduction and cell communication. Due to the arduous and costly nature inherent to the experimental process, membrane proteins have long been devoid of well-resolved atomic-level tertiary structures and, consequently, the understanding of their functional roles underlying a multitude of life activities has been hampered. Currently, computational tools dedicated to furthering the structure-function understanding are primarily focused on utilizing intelligent algorithms to address a variety of site-wise prediction problems (e.g., topology and interaction sites), but are scattered across different computing sources. Moreover, the recent advent of deep learning techniques has immensely expedited the developmen

SUBMITTER: Sun J 

PROVIDER: S-EPMC9932300 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature