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Journal of molecular graphics & modelling

ISSN 1873-4243

3 papers in the library · 70 citations · publishing 2008-2016

Papers

The structure of human serotonin 2c G-protein-coupled receptor bound to agonists and antagonists.

Journal of molecular graphics & modelling August 1, 2008 Jenelle K Bray, William A Goddard 35 citations

Using computational methods, the three-dimensional structure of the serotonin 5-HT(2C) receptor was predicted, and the binding of several ligands—including serotonin, ritanserin, metergoline, and methiothepin—was modeled. The predicted structures for psilocybin analogs, both agonists and antagonists, matched known experimental data. Molecular dynamics simulations showed that the serotonin-bound receptor and binding site remained stable after 5 nanoseconds. The predicted 5-HT(2C) structure was deemed accurate enough for drug design. A comparison with a preliminary 5-HT(2B) receptor model revealed a structural difference in transmembrane helix 5, leading to distinct serotonin binding modes between the two receptors.

Chemogenomics knowledgebase and systems pharmacology for hallucinogen target identification-Salvinorin A as a case study.

Journal of molecular graphics & modelling November 1, 2016 Xiaomeng Xu, Shifan Ma, Zhiwei Feng et al. 19 citations

A new chemogenomics database specific to hallucinogens was built by collecting related chemicals, protein targets, and pathways. Combined with computational tools TargetHunter and HTDocking, it offers a one-step platform for studying hallucinogen mechanisms. Using salvinorin A from Salvia divinorum as a test case, HTDocking predicted four novel targets: muscarinic acetylcholine receptor 2, cannabinoid receptors 1 and 2, and dopamine receptor 2. Binding modes, poses, and docking scores suggest salvinorin A may interact with some of these targets. The database enriches systems pharmacology analysis, target identification, and drug discovery for hallucinogens, addressing the lack of a dedicated resource for mechanism research.

CoMFA analyses of C-2 position salvinorin A analogs at the kappa-opioid receptor provides insights into epimer selectivity.

Journal of molecular graphics & modelling April 1, 2010 Donna L Mcgovern, Philip D Mosier, Bryan L Roth et al. 16 citations

A key insight reveals why particular Salvinorin A derivatives bind more effectively to specific brain receptors: their precise molecular shape matters. Scientists employed computational modeling to develop highly predictive models, showing how subtle structural changes at a crucial C-2 position influence binding. The findings pinpoint a specific binding mechanism for amine-containing versions, explaining why one molecular orientation (beta-epimers) consistently achieves stronger binding than another. This offers valuable insights for designing compounds with tailored receptor interactions.