We used machine learning (ML) techniques to identify specific interactions that correlate with the agonist

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Molecular Dynamics and Machine Learning Study of Adrenaline Dynamics in the Binding Pocket of GPCR.

is supported by the residues located at hotspots located on TMs 5, 6, and 7, as shown by supervised machine

By using machine learning, AF2 can accurately predict the 3D structures of GPCRs with atomic-level accuracy

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Advances in bioinformatics and machine learning will play a pivotal role in addressing these obstacles

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