2017
DOI: 10.1080/1062936x.2017.1408683
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Pharmacological repositioning of Achyranthes aspera as an antidepressant using pharmacoinformatic tools PASS and PharmaExpert: a case study with wet lab validation

Abstract: Traditional knowledge guides the use of plants for restricted therapeutic indications, but their pharmacological actions may be found beyond their ethnic therapeutic indications employing emerging computational tools. In this context, the present study was envisaged to explore the novel pharmacological effect of Achyranthes aspera (A. aspera) using PASS and PharmaExpert software tools. Based on the predicted mechanisms of the antidepressant effect for all analysed phytoconstituents of A. aspera, one may sugges… Show more

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Cited by 18 publications
(5 citation statements)
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“…The PASS and PASS Online (version 2022) databases predict antidepressant effects with the invariant accuracy of prediction (IAP, equivalent to an area-under-the-curve/AUC value and calculated by the leave-one-out cross-validation (LOO CV) procedure) of 0.897, yielding 90 related mechanisms of actions with the mean accuracy of prediction of ~0.977 (Supplementary Table S1). Evaluation by the PASS software of pharmacological potential of phytocomponents from St John's wort (Hypericum perforatum) and chaff-flower (Achyranthes aspera), the two well-known medicinal plants with established antidepressant effect, has also been performed [218,219]. Computational analyses of St John's wort extract activity assessed the predicted biological activity spectra for 93 phytocomponents, revealing several likely phytocomponents that may be responsible for its pharmacological (e.g., antidepressant) effects [210].…”
Section: In Silico-driven Search For Novel Therapeutic Agentsmentioning
confidence: 99%
“…The PASS and PASS Online (version 2022) databases predict antidepressant effects with the invariant accuracy of prediction (IAP, equivalent to an area-under-the-curve/AUC value and calculated by the leave-one-out cross-validation (LOO CV) procedure) of 0.897, yielding 90 related mechanisms of actions with the mean accuracy of prediction of ~0.977 (Supplementary Table S1). Evaluation by the PASS software of pharmacological potential of phytocomponents from St John's wort (Hypericum perforatum) and chaff-flower (Achyranthes aspera), the two well-known medicinal plants with established antidepressant effect, has also been performed [218,219]. Computational analyses of St John's wort extract activity assessed the predicted biological activity spectra for 93 phytocomponents, revealing several likely phytocomponents that may be responsible for its pharmacological (e.g., antidepressant) effects [210].…”
Section: In Silico-driven Search For Novel Therapeutic Agentsmentioning
confidence: 99%
“…Carbohydrates namely D-glucose, D-glucuronic acid, L-rhamnose and rhamnose were identified [21]. Long chain alkanes namely 1-tritriacontanol, 17-penat triacontanol, N-hexacos-14-enoic acid, stigmasta-5,22-dien-3-ol, tritriacontane, hentriacontane, 10-tricosanone, 3-tritriacontanone, 2-octacosanone, hexatriacontane were identified [27,33]. The structures of miscellaneous compounds from A. aspera are given in Fig.…”
Section: Phenolic Compoundsmentioning
confidence: 99%
“…The ethanolic extract showed significant activity and triterpenoid saponins A and B played a greater role in exhibiting the pharmacological actions 85 . Due to the presence of long-chain alkanes namely hexatriacontane, the methanolic root extract of A. aspera showed greater antidepressant activity by increasing the monoamine levels 86 .…”
Section: Antidepressant Activitymentioning
confidence: 99%