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Advancing chemical carcinogenicity prediction modeling: opportunities and challenges
Carcinogenicity assessment of any compound is a laborious and expensive exercise with
several associated ethical and practical concerns. While artificial intelligence (AI) offers …
several associated ethical and practical concerns. While artificial intelligence (AI) offers …
OdoriFy: a conglomerate of artificial intelligence–driven prediction engines for olfactory decoding
The molecular mechanisms of olfaction, or the sense of smell, are relatively underexplored
compared with other sensory systems, primarily because of its underlying molecular …
compared with other sensory systems, primarily because of its underlying molecular …
Artificial intelligence uncovers carcinogenic human metabolites
The genome of a eukaryotic cell is often vulnerable to both intrinsic and extrinsic threats
owing to its constant exposure to a myriad of heterogeneous compounds. Despite the …
owing to its constant exposure to a myriad of heterogeneous compounds. Despite the …
Gcoupler: An AI-enhanced tool unveiled Endogenous Intracellular Allosteric Modulators of Evolutionary Conserved GPCR-Gα Interface
Traditionally, the exogenous allosteric modulators of G protein-coupled receptors (GPCRs)
have been extensively investigated due to their pharmacological significance. However, to …
have been extensively investigated due to their pharmacological significance. However, to …
Artificial Intelligence Uncovers Evolutionarily Conserved Intracellular Allosteric Modulators of GPCR-Gα Interface
Traditionally, the exogenous allosteric modulators of G protein-coupled receptors (GPCRs)
have been extensively investigated due to their pharmacological significance. However, to …
have been extensively investigated due to their pharmacological significance. However, to …