An in-silico approach: identification of PPAR-γ agonists from seaweeds for the management of Alzheimer's Disease.
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| Title: | An in-silico approach: identification of PPAR-γ agonists from seaweeds for the management of Alzheimer's Disease. |
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| Authors: | Kotha S; Department of Pharmacology, Government College of Pharmacy, Bengaluru, India., B S; Department of Pharmacology, Government College of Pharmacy, Bengaluru, India., Kulkarni VM; Department of Chemistry, Bharati Vidyapeeth Deemed University, Poona College of Pharmacy, Pune, India., S RS; Department of Pharmacology, Government College of Pharmacy, Bengaluru, India., B HK; Department of Pharmacology, Government College of Pharmacy, Bengaluru, India., R H; Department of Pharmacology, Government College of Pharmacy, Bengaluru, India. |
| Source: | Journal of biomolecular structure & dynamics [J Biomol Struct Dyn] 2021 Apr; Vol. 39 (6), pp. 2210-2229. Date of Electronic Publication: 2020 Apr 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Taylor & Francis Country of Publication: England NLM ID: 8404176 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1538-0254 (Electronic) Linking ISSN: 07391102 NLM ISO Abbreviation: J Biomol Struct Dyn Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1538-0254 |
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| DOI: | 10.1080/07391102.2020.1747543 |
