Please use this identifier to cite or link to this item: http://ir-library.mmust.ac.ke:8080/xmlui/handle/123456789/3098
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNdarawit, Wilberforce-
dc.contributor.authorOchieng, Charles Otieno-
dc.contributor.authorAngwenyi, David-
dc.contributor.authorCru, Jorddy N.-
dc.contributor.authorSantos, Cleydson B. R.-
dc.contributor.authorKimani, Njogu M.-
dc.date.accessioned2024-11-22T10:34:58Z-
dc.date.available2024-11-22T10:34:58Z-
dc.date.issued2024-11-14-
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0313758-
dc.identifier.urihttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0313758-
dc.identifier.urihttp://ir-library.mmust.ac.ke:8080/xmlui/handle/123456789/3098-
dc.description.abstractPostprandial hyperglycemia, typical manifestation of Type 2 Diabetes Mellitus (T2DM), is associated with notable global morbidity and mortality. Preventing the advancement of this condition by delaying the rate of glucose absorption through inhibition of α-amylase and α-glucosidase enzymatic activities is of utmost importance. Finding a safe antidiabetic drug is essential since those that are currently on the market have drawbacks like unpleasant side effects. The current study utilized computer-aided drug design (CADD), as a quick and affordable method to find a substitute drug template that can be used to control postprandial hyperglycemia by modulating the activity of α-amylase and α-glucosidase enzymes. The Natural Products Activity and Species database (NPASS) (30,926 compounds) was screened in silico, with a focus on evaluating drug-likeness, toxicity profiles and ability to bind on a target protein. Two molecules NPC204580 (Chrotacumine C) and NPC137813 (1-O-(2-Methoxy-4-Acetylphenyl)-6-O-(E-Cinnamoyl)-Beta-D-Glucopyranoside) were identified as potential dual inhibitors for α-amylase and α-glucosidase with free binding energies of -14.46 kcal/mol and -12.58 kcal/mol for α-amylase, and -8.42 kcal/mol and -8.76 kcal/mol for α-glucosidase, respectively. The molecules showed ionic, H-bonding and hydrophobic interactions with critical amino acid residues of both enzymes. Moreover, 100 ns molecular dynamic simulations showed that both molecules are stable on the receptors’ active sites based on root mean square deviation (RMSD), root mean square fluctuation (RMSF), and the Generalized Born surface area (GBSA) energy calculated. The two compounds are thus promising therapeutic agents for T2DM that merit further investigation due to their excellent binding energies, encouraging pharmacokinetics, toxicity profiles, and stability as demonstrated in simulated studies.en_US
dc.language.isoenen_US
dc.publisherPLOS ONEen_US
dc.subjectDiscovery, α-amylase, α-glucosidase, dual, inhibitors, NPASS, database, management, Type 2, Diabetes Mellitus, A chemoinformatic, approachen_US
dc.titleDiscovery of α-amylase and α-glucosidase dual inhibitors from NPASS database for management of Type 2 Diabetes Mellitus: A chemoinformatic approachen_US
dc.typeArticleen_US
Appears in Collections:Gold Collection



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.