Machine Learning-Based Modeling of Olfactory Receptors in Their Inactive State: Human OR51E2 as a Case Study
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DOI: 10.1101/2023.02.22.529484
Abstract: Atomistic-level investigation of olfactory receptors (ORs) is a challenging task due to the experimental/computational difficulties in the structural determination/prediction for members of this family of G-protein coupled receptors. Here we have developed a protocol that… read more here.
Keywords: human or51e2; inactive state; machine learning; olfactory receptors ... See more keywords