Receptor tyrosine kinase MET ligand-interaction classified via machine learning from single-particle tracking data.

ABSTRACT: Internalin B-mediated activation of the membrane-bound receptor tyrosine kinase MET is accompanied by a change in receptor mobility. Conversely, it should be possible to infer from receptor mobility whether a cell has been treated with internalin B. Here, we propose a method based on hidden Markov modeling and explainable artificial intelligence that machine-learns the key differences in MET mobility between internalin B-treated and -untreated cells from single-particle tracking data. Our method assigns receptor mobility to three diffusion modes (immobile, slow, and fast). It discriminates between internalin B-treated and -untreated cells with a balanced accuracy of >99% and identifies three parameters that are most affected by internalin B treatment: a decrease in the mobility of slow mol

SUBMITTER: Malkusch S 

PROVIDER: S-EPMC9265154 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature