2022
DOI: 10.22270/jddt.v12i2-s.5274
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Artificial Intelligence and Machine Learning approach based in-silico ADME-Tox and Pharmacokinetic Profile of α-Linolenic acid from Catharanthus roseus (L.) G. Don.

Abstract: Current craze and concomitant rise of Artificial Intelligence and Machine Learning (AI&ML) in the post-COVID-era holds significant contribution to Drug Design and Development. Along with IoT, AI&ML has reduced human interface and improved the Quality of Life though Quality-Health-Care products. AI&ML approaches driven Rational Drug Design along with customised molecular modelling techniques such as in-silico simulation, pharmacophore modelling, molecular dynamics, virtual screening, and molecular d… Show more

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Cited by 10 publications
(11 citation statements)
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“…As reported in the study of Chopra et al 1 that this drug has sustained hypotensive action and the traditional use 3 of this medicine is to alleviate high blood pressure, in the present study statistically significant change has been noted in the SBP from PME to TME wherein the mean SBP has reduced. Although the finding is in corroboration with the available literature, its effect specifically in reducing SBP may be explored.…”
Section: Discussionsupporting
confidence: 70%
“…As reported in the study of Chopra et al 1 that this drug has sustained hypotensive action and the traditional use 3 of this medicine is to alleviate high blood pressure, in the present study statistically significant change has been noted in the SBP from PME to TME wherein the mean SBP has reduced. Although the finding is in corroboration with the available literature, its effect specifically in reducing SBP may be explored.…”
Section: Discussionsupporting
confidence: 70%
“…Previous studies [38][39][40][41][42][43][44][45][46][47][48][49] indicates that the successful exploitation of plant based natural products depends on the identification, isolation, purification and ADMET characterization followed by clinical trials before its launch in the market. Phytochemical screening and GCMS analysis revealed the presence of 12 compounds namely -7-Octadecyne…”
Section: Resultsmentioning
confidence: 99%
“…The methanolic leaf extracts of Costus igneus were subjected to various chemical tests for the detection of phytoconstituents and GCMS, FTIR analysis using standard procedures described previously [22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40] .…”
Section: Phytochemical Screening/ Gcms Ftir Analysismentioning
confidence: 99%