<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>8(26)</volume><submitter>Qian PP</submitter><pubmed_abstract>Human d-amino acid oxidase (h-DAAO) can effectively act on d-serine, which has been actively explored as a novel therapeutic target for treating schizophrenia. In this study, 37 h-DAAO inhibitors based on a 6-hydroxy-1,2,4-triazine-3,5(2&lt;i>H&lt;/i>,4&lt;i>H&lt;/i>)-dione scaffold were obtained to construct the optimal comparative molecular field analysis (CoMFA, &lt;i>q&lt;/i> &lt;sup>2&lt;/sup> = 0.613, &lt;i>r&lt;/i> &lt;sup>2&lt;/sup> = 0.966) and comparative molecular similarity index analysis (CoMSIA, &lt;i>q&lt;/i> &lt;sup>2&lt;/sup> = 0.669, &lt;i&gt;r&lt;/i> &lt;sup>2&lt;/sup> = 0.985) models. The results indicate that the models have good predictability and strong stability. Furthermore, contour maps of the three-dimensional quantitative structure-activity relationship (3D-QSAR) revealed the relationships between the structural features an</pubmed_abstract><journal>RSC advances</journal><pagination>14311-14327</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9079910</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Molecular modeling studies of 1,2,4-triazine derivatives as novel h-DAAO inhibitors by 3D-QSAR, docking and dynamics simulations.</pubmed_title><pmcid>PMC9079910</pmcid><pubmed_authors>Qian PP</pubmed_authors><pubmed_authors>Feng KR</pubmed_authors><pubmed_authors>Wang S</pubmed_authors><pubmed_authors>Ren YJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>Molecular modeling studies of 1,2,4-triazine derivatives as novel h-DAAO inhibitors by 3D-QSAR, docking and dynamics simulations.</name><description>Human d-amino acid oxidase (h-DAAO) can effectively act on d-serine, which has been actively explored as a novel therapeutic target for treating schizophrenia. In this study, 37 h-DAAO inhibitors based on a 6-hydroxy-1,2,4-triazine-3,5(2&lt;i>H&lt;/i>,4&lt;i>H&lt;/i>)-dione scaffold were obtained to construct the optimal comparative molecular field analysis (CoMFA, &lt;i>q&lt;/i> &lt;sup>2&lt;/sup> = 0.613, &lt;i>r&lt;/i> &lt;sup>2&lt;/sup> = 0.966) and comparative molecular similarity index analysis (CoMSIA, &lt;i>q&lt;/i> &lt;sup>2&lt;/sup> = 0.669, &lt;i&gt;r&lt;/i> &lt;sup>2&lt;/sup> = 0.985) models. The results indicate that the models have good predictability and strong stability. Furthermore, contour maps of the three-dimensional quantitative structure-activity relationship (3D-QSAR) revealed the relationships between the structural features an</description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Apr</publication><modification>2026-05-31T09:47:59.065Z</modification><creation>2025-02-18T23:57:26.104Z</creation></dates><accession>S-EPMC9079910</accession><cross_references><pubmed>35540777</pubmed><doi>10.1039/c8ra00094h</doi></cross_references></HashMap>