• Machine-OlF-Action: A unified framework for developing and interpreting machine-learning models for chemosensory research

    14 days ago - By Oxford Journals

    Abstract Machine Learning-based techniques are emerging as state-of-the-art methods in chemoinformatics to selectively, effectively, and speedily identify biologically-relevant molecules from large databases. So far, a multitude of such techniques have been proposed, but unfortunately due to their sparse availability, and the dependency on high-end computational literacy, their wider adaptation faces challenges, at least in the context of G-Protein Coupled Receptors -associated chemosensory research. Here we report Machine-OlF-Action , a user-friendly, open-source computational framework...
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