SPOT: A machine learning model that predicts specific substrates for transport proteins
Alexander Kroll,
Nico Niebuhr,
Gregory Butler
et al.
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 se… Show more
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