Literature DB >> 36094769

Ayurveda and in silico Approach: A Challenging Proficient Confluence for Better Development of Effective Traditional Medicine Spotlighting Network Pharmacology.

Rashmi Sahu1, Prashant Kumar Gupta1,2, Amit Mishra3, Awanish Kumar4.   

Abstract

Coalescence of traditional medicine Ayurveda and in silico technology is a rigor for supplementary development of future-ready effective traditional medicine. Ayurveda is a popular traditional medicine in South Asia, emanating worldwide for the treatment of metabolic disorders and chronic illness. Techniques of in silico biology are not much explored for the investigation of a variety of bioactive phytochemicals of Ayurvedic herbs. Drug repurposing, reverse pharmacology, and polypharmacology in Ayurveda are areas in silico explorations that are needed to understand the rich repertoire of herbs, minerals, herbo-minerals, and assorted Ayurvedic formulations. This review emphasizes exploring the concept of Ayurveda with in silico approaches and the need for Ayurinformatics studies. It also provides an overview of in silico studies done on phytoconstituents of some important Ayurvedic plants, the utility of in silico studies in Ayurvedic phytoconstituents/formulations, limitations/challenges, and prospects of in silico studies in Ayurveda. This article discusses the convergence of in silico work, especially in the least explored field of Ayurveda. The focused coalesce of these two domains could present a predictive combinatorial platform to enhance translational research magnitude. In nutshell, it could provide new insight into an Ayurvedic drug discovery involving an in silico approach that could not only alleviate the process of traditional medicine research but also enhance its effectiveness in addressing health care.
© 2022. The Chinese Journal of Integrated Traditional and Western Medicine Press and Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Ayurveda; challenge; confluence; effective therapeutics; in silico approach

Year:  2022        PMID: 36094769      PMCID: PMC9465656          DOI: 10.1007/s11655-022-3584-x

Source DB:  PubMed          Journal:  Chin J Integr Med        ISSN: 1672-0415            Impact factor:   2.626


Supplementary material, approximately 1.64 MB.
  74 in total

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Journal:  J Ethnopharmacol       Date:  2011-10-31       Impact factor: 4.360

2.  Network Pharmacology of Ayurveda Formulation Triphala with Special Reference to Anti-Cancer Property.

Authors:  Uma Chandran; Neelay Mehendale; Girish Tillu; Bhushan Patwardhan
Journal:  Comb Chem High Throughput Screen       Date:  2015       Impact factor: 1.339

Review 3.  In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling.

Authors:  S Ekins; J Mestres; B Testa
Journal:  Br J Pharmacol       Date:  2007-06-04       Impact factor: 8.739

4.  Asparagus racemosus (Shatavari) targeting estrogen receptor α: - An in-vitro and in-silico mechanistic study.

Authors:  Ram Sharma; Vikas Jaitak
Journal:  Nat Prod Res       Date:  2018-12-22       Impact factor: 2.861

5.  New insights into the antioxidant and apoptotic potential of Glycyrrhiza glabra L. during hydrogen peroxide mediated oxidative stress: An in vitro and in silico evaluation.

Authors:  Iram Iqbal Hejazi; Rashmin Khanam; Syed Hassan Mehdi; Abdul Roouf Bhat; M Moshahid Alam Rizvi; Asimul Islam; Sonu Chand Thakur; Fareeda Athar
Journal:  Biomed Pharmacother       Date:  2017-07-29       Impact factor: 6.529

6.  Efficacy of Standardized Extract of Bacopa monnieri (Bacognize®) on Cognitive Functions of Medical Students: A Six-Week, Randomized Placebo-Controlled Trial.

Authors:  Navneet Kumar; L G Abichandani; Vijay Thawani; K J Gharpure; M U R Naidu; G Venkat Ramana
Journal:  Evid Based Complement Alternat Med       Date:  2016-10-10       Impact factor: 2.629

7.  On the Integration of In Silico Drug Design Methods for Drug Repurposing.

Authors:  Eric March-Vila; Luca Pinzi; Noé Sturm; Annachiara Tinivella; Ola Engkvist; Hongming Chen; Giulio Rastelli
Journal:  Front Pharmacol       Date:  2017-05-23       Impact factor: 5.810

8.  Giloy Ghanvati (Tinospora cordifolia (Willd.) Hook. f. and Thomson) Reversed SARS-CoV-2 Viral Spike-Protein Induced Disease Phenotype in the Xenotransplant Model of Humanized Zebrafish.

Authors:  Acharya Balkrishna; Lakshmipathi Khandrika; Anurag Varshney
Journal:  Front Pharmacol       Date:  2021-04-19       Impact factor: 5.810

9.  An Integrated Study on the Antitumor Effect and Mechanism of Triphala Against Gynecological Cancers Based on Network Pharmacological Prediction and In Vitro Experimental Validation.

Authors:  Yuhang Zhao; Min Wang; Jokyab Tsering; Hanluo Li; Simin Li; Yuepeng Li; Yinghua Liu; Xianda Hu
Journal:  Integr Cancer Ther       Date:  2018-05-10       Impact factor: 3.279

10.  AYUSH 64, a polyherbal Ayurvedic formulation in Influenza-like illness - Results of a pilot study.

Authors:  Manohar S Gundeti; Laxman W Bhurke; Pallavi S Mundada; Sanjay Murudkar; Ashita Surve; Ramavatar Sharma; Sunita Mata; Rakesh Rana; Richa Singhal; Neera Vyas; Shruti Khanduri; B S Sharma; N Srikanth; K S Dhiman
Journal:  J Ayurveda Integr Med       Date:  2020-05-14
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