2022
DOI: 10.1177/03946320221103120
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Exploring the antihyperglycemic potential of tetrapeptides devised from AdMc1 via different receptor proteins inhibition using in silico approaches

Abstract: Introduction: Diabetes mellitus is a heterogenous group of chronic metabolic disorders that results due to deficiency in insulin secretion and signalling. Multiple factors held responsible for onset of diabetes due to defects in glucose metabolism and cellular signalling mechanism. Over the past few years, many plant derived bioactive compounds have been recorded with increased efficacy and fewer side-effects against variety of diseases. Methods: In the current study, molecular docking and molecular dynamics s… Show more

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Cited by 6 publications
(4 citation statements)
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“…All selected top ten tetrapeptides fully accomplished the drug-like criteria and violated one rule ( Table 2 ). A compound could be considered a potential drug candidate, if it violates no or one rule out of five [ 23 ]. To further assess the pharmacological potential of these ten tetrapeptides, the admetSAR tool was used to predict the ADMET based attributes of these peptides from a medical perspective.…”
Section: Resultsmentioning
confidence: 99%
“…All selected top ten tetrapeptides fully accomplished the drug-like criteria and violated one rule ( Table 2 ). A compound could be considered a potential drug candidate, if it violates no or one rule out of five [ 23 ]. To further assess the pharmacological potential of these ten tetrapeptides, the admetSAR tool was used to predict the ADMET based attributes of these peptides from a medical perspective.…”
Section: Resultsmentioning
confidence: 99%
“…The ADME properties of molecules depend upon Lipinski's rule of five (Ro5) which is defined as: the molecular mass of a compound should not be greater than 500 g/mol; the number of hydrogen bond acceptor (HBA), and number of hydrogen bond donor (HBD) should not be greater than 10 and 5, respectively, and lipophilicity (Log P ) should be less than 5. Less than two violations of these rules are acceptable for good drug properties [ 23 , 24 ]. The SwissADME database was used to predict the ADME properties and other drug-likeness properties of small molecules.…”
Section: Methodsmentioning
confidence: 99%
“…The compound liquoric acid violated only one rule, while the other compounds (i.e., madecassic acid, obamegine, botulin, lupeol, and berbamine) violated more than one rule of the Ro5 (Table 2). If a compound violates no rules or one out of the five, it could be considered as a potential drug candidate [13]. The admetSAR tool was also employed for further assessing the pharmacological potential of the best-selected phytochemicals through ADMET-based attributes from a medical perspective.…”
Section: Druggability Analysesmentioning
confidence: 99%