Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mona Chaurasiya"'
Autor:
Nitesh Singh, Aadil Mansoori, Gitanjali Jiwani, Amolkumar U. Solanke, Tarun K. Thakur, Rakesh Kumar, Mona Chaurasiya, Anirudh Kumar
Publikováno v:
Arabian Journal of Chemistry, Vol 14, Iss 7, Pp 103243- (2021)
Plant extracts are one of the best possible sources of bioactive molecules, and are being used globally as an antioxidants and natural antimicrobial compounds. In current study, Schefflera vinosa leaves extract was prepared through Soxhlet extraction
Externí odkaz:
https://doaj.org/article/dc4d27261f304325a0ed30a6cec098c8
Autor:
Amolkumar U. Solanke, Aadil Mansoori, Gitanjali Jiwani, Mona Chaurasiya, Nitesh Singh, Anirudh Kumar, Tarun Kumar Thakur, Rakesh Kumar
Publikováno v:
Arabian Journal of Chemistry, Vol 14, Iss 7, Pp 103243-(2021)
Plant extracts are one of the best possible sources of bioactive molecules, and are being used globally as an antioxidants and natural antimicrobial compounds. In current study, Schefflera vinosa leaves extract was prepared through Soxhlet extraction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9ac6a74fb637137e60f1f5488afa5fb
http://www.sciencedirect.com/science/article/pii/S1878535221002586
http://www.sciencedirect.com/science/article/pii/S1878535221002586
Publikováno v:
Bioinformation
Knowledge about protein function is essential in understanding the biological processes. A specific class or family of protein shares common structural and chemical properties amongst its member sequences. The set of properties that display its uniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db81b031b36cb450944d2ac47429e30f
http://europepmc.org/articles/PMC2951634
http://europepmc.org/articles/PMC2951634
Autor:
Raju Naik Vankudavath, K. Rajender Rao, Anuraj Nayarisseri S, Mona Chaurasiya, Nishant Sharma, K.R. Ethiraj, Mukesh Yadav
Publikováno v:
Current topics in medicinal chemistry. 12(16)
Linear and non-linear QSAR studies have been performed in present investigation with multiple linear regressions (MLR) analysis and Support vector machine (SVM) using different kernels. Three relevant descriptors out of fifteen descriptors calculated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72ef37f5c131314719fb2552784a3654
https://pubmed.ncbi.nlm.nih.gov/23030611
https://pubmed.ncbi.nlm.nih.gov/23030611