Integrated QSAR Models for Prediction of Serotonergic Activity: Machine Learning Unveiling Activity and Selectivity Patterns of Molecular Descriptors
Understanding the features of compounds that determine their high serotonergic activity and selectivity for specific receptor subtypes represents a pivotal challenge in drug discovery, directly impacting the ability to minimize adverse events while maximizing therapeutic efficacy. Up to now, this pr...
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| Main Authors: | , , , |
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| Format: | Book |
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MDPI AG,
2024-03-01T00:00:00Z.
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| Call Number: |
A1234.567 |
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