SPOT: A machine learning model that predicts specific substrates for transport proteins.

ABSTRACT: Transport proteins play a crucial role in cellular metabolism and are central to many aspects of molecular biology and medicine. Determining the function of transport proteins experimentally is challenging, as they become unstable when isolated from cell membranes. Machine learning-based predictions could provide an efficient alternative. However, existing methods are limited to predicting a small number of specific substrates or broad transporter classes. These limitations stem partly from using small data sets for model training and a choice of input features that lack sufficient information about the prediction problem. Here, we present SPOT, the first general machine learning model that can successfully predict specific substrates for arbitrary transport proteins, achieving an accuracy

SUBMITTER: Kroll A 

PROVIDER: S-EPMC11426516 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature