EventsMOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed.
Event submissions
Published
with-doi10.3390/mol2net-09-14151 (registering DOI)
This submission belongs to the session 04. BIOMODE.ECO-08: Biotech., Mol. Eng., Nat. Prod. Develop. and Ecology Congress, Paris, France-Ohio, USA, 2023. of the event MOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed.
Published date
13 Mar, 2023
Academic Editor
author-avatarHumbert G. Díaz
Citation
Dr G Manjula, Chethana L, Keerthi G Ganiga, Keerthi Prasanna R G, Harish R, Evaluation and Investigation of Anti-diabetes profiles<br />using Medicinal plants by Data Visualization Techniques, in Proceedings of MOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed., 25 December–31 December 2023, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-09-14151
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Evaluation and Investigation of Anti-diabetes profilesusing Medicinal plants by Data Visualization Techniques

Dr G Manjula 1,2
Chethana L 2
Keerthi G Ganiga 2
Keerthi Prasanna R G 2
Harish R 2
1. Dayananda Sagar Academy of Technology and Management
2. DSATM,Bengaluru
Abstract
Keywords
Diabetes
Insulin
Phytoconstituents
Pancreas
Blood glucose
Beta cell
Antidiabetic
streptozotocin,Hypoglycaemic
Medicinal plant.
Manuscript
sciforum071861.pdf