<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>12(6)</volume><submitter>Rajeshkumar RR</submitter><pubmed_abstract>&lt;i>&lt;b>Introduction:&lt;/b> &lt;/i> Parkinson's disease (PD) is a chronic, devastating neurodegenerative disorder marked by the death of dopaminergic neurons in the midbrain's substantia nigra pars compacta (Snpc). In alpha-synuclein (α-Syn) self-aggregation, the existence of intracytoplasmic inclusion bodies called Lewy bodies (LBs) and Lewy neurites (LNs) causes PD, which is a cause of neuronal death. &lt;i>&lt;b>Methods:&lt;/b> &lt;/i> The present study is aimed at finding potential bioactive compounds from &lt;i>Cynodon dectylon&lt;/i> that can degrade α-Syn aggregation in the brain, through &lt;i>in silico&lt;/i> molecular docking investigations. Graph theoretical network analysis was used to identify the bioactive compounds that target α-Syn and decipher their network as a graph. From the data repository, twenty-n</pubmed_abstract><journal>BioImpacts : BI</journal><pagination>487-499</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9809135</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Graph theoretical network analysis, &lt;i>in silico&lt;/i> exploration, and validation of bioactive compounds from &lt;i>Cynodon dactylon&lt;/i> as potential neuroprotective agents against α-synuclein.</pubmed_title><pmcid>PMC9809135</pmcid><pubmed_authors>Murugesan S</pubmed_authors><pubmed_authors>Panneerselvam T</pubmed_authors><pubmed_authors>Kabilan SJ</pubmed_authors><pubmed_authors>Parasuraman P</pubmed_authors><pubmed_authors>Kumar BK</pubmed_authors><pubmed_authors>Sundar K</pubmed_authors><pubmed_authors>Kunjiappan S</pubmed_authors><pubmed_authors>Rajeshkumar RR</pubmed_authors><pubmed_authors>Ram Kumar Pandian S</pubmed_authors><pubmed_authors>Ammunje DN</pubmed_authors></additional><is_claimable>false</is_claimable><name>Graph theoretical network analysis, &lt;i>in silico&lt;/i> exploration, and validation of bioactive compounds from &lt;i>Cynodon dactylon&lt;/i> as potential neuroprotective agents against α-synuclein.</name><description>&lt;i>&lt;b>Introduction:&lt;/b> &lt;/i> Parkinson's disease (PD) is a chronic, devastating neurodegenerative disorder marked by the death of dopaminergic neurons in the midbrain's substantia nigra pars compacta (Snpc). In alpha-synuclein (α-Syn) self-aggregation, the existence of intracytoplasmic inclusion bodies called Lewy bodies (LBs) and Lewy neurites (LNs) causes PD, which is a cause of neuronal death. &lt;i>&lt;b>Methods:&lt;/b> &lt;/i> The present study is aimed at finding potential bioactive compounds from &lt;i>Cynodon dectylon&lt;/i> that can degrade α-Syn aggregation in the brain, through &lt;i>in silico&lt;/i> molecular docking investigations. Graph theoretical network analysis was used to identify the bioactive compounds that target α-Syn and decipher their network as a graph. From the data repository, twenty-n</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022</publication><modification>2026-05-27T23:23:11.695Z</modification><creation>2024-12-03T22:58:53.055Z</creation></dates><accession>S-EPMC9809135</accession><cross_references><pubmed>36644543</pubmed><doi>10.34172/bi.2022.24113</doi></cross_references></HashMap>