Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
This volume takes an in-depth look at the potential pharmacological applications of 11 important antidiabetic plants, examining their antihyperglycemic, hypoglycemic, and anti-lipidemic properties along with current genome editing research perspectives.
Plant natural products, or phytoconstituents, are promising candidates for antidiabetic pharmacological actions. The phytoconstituents, such as fl avonoids, terpenoids, saponins, carotenoids, alkaloids and glycosides, play vital roles in the current and future potent antidiabetic drug development programs
Each chapter reviews a particular plant with antidiabetic properties, explaining the therapeutic aspects, its active antidiabetic compounds, and relevant genome editing technology. The specific plants discussed include Azadirachta indica (commonly known as neem, nimtree or Indian lilac), Gymnema sylvestre (commonly called gymnema, Australian cowplant, and Periploca of the woods), Syzygium cumini (commonly known as Malabar plum, Java plum, black plum, jamun or jambolana), Ceylon cinnamon (or true cinnamon, as opposed to cassia cinnamon), insulin plant (or Costus pictus), Trigonella foenum-graecum (better known as fenugreek), Mulberry, Nigella sativa L. (black caraway, also known as black cumin, nigella, kalojeera, kalonji or kalanji), Aegle marmelos (L.) (commonly known as bael (or bili or bhel), also Bengal quince, golden apple, Japanese bitter orange, stone apple or wood apple), Ficus benghalensis (the banyan, banyan fig and Indian banyan), and of course, garlic (Allium sativum).
Antidiabetic Plants for Drug Discovery: Pharmacology, Secondary Metabolite Profiling, and Ingredients with Insulin Mimetic Activity will serve as a valuable source of information for students, drug researchers, medical practitioners, diabetic patients, and many others in the effort to gain understand of how these plant drug molecules can help fight diabetes.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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