Dinesh Y GAWANDE

Dr. Dinesh Y GAWANDE

Postdoc
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 July 2014 in Natural Product Reports
Verified
Journal Article
Closed access
PDF file
ALAlexey Lagunin
Alexey Lagunin
RGRajesh K. Goel
Rajesh K. Goel
DGDinesh Y GAWANDE
Dinesh Y GAWANDE
PPPriynka Pahwa
Priynka Pahwa
TGTatyana A. Gloriozova
Tatyana A. Gloriozova
Vladimir Vassilievich PoroikovVladimir Vassilievich Poroikov
Vladimir Vassilievich Poroikov
Covering: up to 2014 In silico approaches have been widely recognised to be useful for drug discovery. Here, we consider the significance of available databases of medicinal plants and chemo- and bioinformatics tools for in silico drug discovery beyond the traditional use of folk medicines. This review contains a practical example of the application of combined chemo- and bioinformatics methods to study pleiotropic therapeutic effects (known and novel) of 50 medicinal plants from Traditional Indian Medicine.

1 June 2014 in European Neuropsychopharmacology
Verified
Journal Article
Closed access
BTBrijesh G. Taksande
Brijesh G. Taksande
NKNandkishor R. Kotagale
Nandkishor R. Kotagale
DGDinesh Y GAWANDE
Dinesh Y GAWANDE
ABAshish P. Bharne
Ashish P. Bharne
CCChandrabhan T. Chopde
Chandrabhan T. Chopde
Dadasaheb Mahadeo KokareDadasaheb Mahadeo Kokare
Dadasaheb Mahadeo Kokare

1 April 2014 in Computers in Biology and Medicine
Verified
Journal Article
Closed access
DSDamanpreet Singh
Damanpreet Singh
DGDinesh Y GAWANDE
Dinesh Y GAWANDE
TSTanveer Singh
Tanveer Singh
Vladimir Vassilievich PoroikovVladimir Vassilievich Poroikov
Vladimir Vassilievich Poroikov
RGRajesh Kumar Goel
Rajesh Kumar Goel

1 December 2015 in Journal of Ethnopharmacology
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Journal Article
Closed access
DGDinesh Y GAWANDE
Dinesh Y GAWANDE
RGRajesh Kumar Goel
Rajesh Kumar Goel

1 January 2012 in Pharmacology Biochemistry and Behavior
Verified
Journal Article
Closed access
NKNandkishor R. Kotagale
Nandkishor R. Kotagale
BTBrijesh G. Taksande
Brijesh G. Taksande
PWParesh J. Wadhwani
Paresh J. Wadhwani
MPMahesh W. Palhade
Mahesh W. Palhade
SMSachin M. Mendhi
Sachin M. Mendhi
CCChandrabhan T. Chopde
Chandrabhan T. Chopde

9 April 2015 in Planta Medica
Verified
Journal Article
Closed access
PDF file
RGRajesh Kumar Goel
Rajesh Kumar Goel
DGDinesh Y GAWANDE
Dinesh Y GAWANDE
ALAlexey Lagunin
Alexey Lagunin
PRPuneet Randhawa
Puneet Randhawa
AMAwanish Mishra
Awanish Mishra
Vladimir Vassilievich PoroikovVladimir Vassilievich Poroikov
Vladimir Vassilievich Poroikov
In silico techniques in drug discovery may rationalise and speed up the identification of lead molecules from nature. Drug discovery from medicinal plants has mostly been confined to indications in accordance with their ethnical use only. However, the availability of multiple phytoconstituents in medicinal plants suggests that these may be much more useful beyond their traditional uses and in the management of chronic diseases, along with their comorbidities. In this study, the computer programmes PASS and PharmaExpert were used to reveal the medicinal plants useful in the comprehensive management of epilepsy and associated psychiatric disorders based on the pleiotropic effects predicted for their phytoconstituents. In silico analysis revealed that seven of 50 medicinal plants from traditional Indian medicine possessed the desired pleiotropic effect, i.e., anticonvulsant, antidepressant, and nootropic activities. The majority of phytoconstituents from Passiflora incarnata were concurrently predicted to have the desired pleiotropic effects. Therefore, P. incarnata was pharmacologically validated using the pentylenetetrazole kindling mouse model. Behavioural and neurochemical evaluations confirmed the ameliorative role of P. incarnata in epilepsy and the associated depression and memory deficit. The pharmacological findings from this study propose that PASS and PharmaExpert may serve as good tools for the optimisation of the selection of plants based on their phytoconstituents for the treatment of different ailments, even beyond their traditional use.