Abstract
Background: Natural products are characterized by their chemical diversity and being a good source of a range of bioactive structures including antidiabetic compounds. Diabetes mellitus (DM) is considered a major worldwide health concern. Rational drug design has been widely accomplished, to discover and optimize innovative leads for different molecular targets of type 2 DM including α-glucosidase, PPARγ, DPP-IV, PTP1B, AR, GSK-3β, 11β-HSD1, GK, etc. Objective: This review illustrates the potential of natural products as a rich source of lead compounds for antidiabetic drug discovery with some examples of computational studies carried out to determine the possible molecular target, structure activity relationship, and further optimization chances. Conclusion: Natural products will remain an attractive source for researchers to explore their therapeutic potential against DM. Guided by the computational studies; systematic lead optimization via structural modifications will speed up the generation of potential new clinical candidates for the treatment of type 2 DM.
Keywords: Natural lead, Antidiabetic, Molecular docking, α-Glucosidase, Dipeptidyl peptidase IV, Peroxisome proliferatoractivated receptor gamma, Aldose reductase, Protein-tyrosine phosphatase 1B.
Current Topics in Medicinal Chemistry
Title:Exploring Natural Products as a Source for Antidiabetic Lead Compounds and Possible Lead Optimization
Volume: 16 Issue: 23
Author(s): Reema Abu Khalaf
Affiliation:
Keywords: Natural lead, Antidiabetic, Molecular docking, α-Glucosidase, Dipeptidyl peptidase IV, Peroxisome proliferatoractivated receptor gamma, Aldose reductase, Protein-tyrosine phosphatase 1B.
Abstract: Background: Natural products are characterized by their chemical diversity and being a good source of a range of bioactive structures including antidiabetic compounds. Diabetes mellitus (DM) is considered a major worldwide health concern. Rational drug design has been widely accomplished, to discover and optimize innovative leads for different molecular targets of type 2 DM including α-glucosidase, PPARγ, DPP-IV, PTP1B, AR, GSK-3β, 11β-HSD1, GK, etc. Objective: This review illustrates the potential of natural products as a rich source of lead compounds for antidiabetic drug discovery with some examples of computational studies carried out to determine the possible molecular target, structure activity relationship, and further optimization chances. Conclusion: Natural products will remain an attractive source for researchers to explore their therapeutic potential against DM. Guided by the computational studies; systematic lead optimization via structural modifications will speed up the generation of potential new clinical candidates for the treatment of type 2 DM.
Export Options
About this article
Cite this article as:
Khalaf Abu Reema, Exploring Natural Products as a Source for Antidiabetic Lead Compounds and Possible Lead Optimization, Current Topics in Medicinal Chemistry 2016; 16 (23) . https://dx.doi.org/10.2174/1568026616666160414123602
DOI https://dx.doi.org/10.2174/1568026616666160414123602 |
Print ISSN 1568-0266 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4294 |
Call for Papers in Thematic Issues
Adaptogens—History and Future Perspectives
Adaptogens are pharmacologically active compounds or plant extracts that are associated with the ability to enhance the body’s stability against stress. The intake of adaptogens is associated not only with a better ability to adapt to stress and maintain or normalise metabolic functions but also with better mental and physical ...read more
AlphaFold in Medicinal Chemistry: Opportunities and Challenges
AlphaFold, a groundbreaking AI tool for protein structure prediction, is revolutionizing drug discovery. Its near-atomic accuracy unlocks new avenues for designing targeted drugs and performing efficient virtual screening. However, AlphaFold's static predictions lack the dynamic nature of proteins, crucial for understanding drug action. This is especially true for multi-domain proteins, ...read more
Artificial intelligence for Natural Products Discovery and Development
Our approach involves using computational methods to predict the potential therapeutic benefits of natural products by considering factors such as drug structure, targets, and interactions. We also employ multitarget analysis to understand the role of drug targets in disease pathways. We advocate for the use of artificial intelligence in predicting ...read more
Challenges, Consequences and Possible Treatments of Anticancer Drug Discovery ll
The use of several compounds has been the subject of increasing interest in phytochemistry, biochemistry, and other fields of research at the chemistry-biology-ecosystems interface. In spite of the continued search for new anticancer drugs, cancer remains a leading cause of death. Cancer mortalities are expected to increase to 12.9 million, ...read more
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Association of DRD2 TaqIA and DβH -1021C>T Gene Polymorphisms with Smoking Initiation and their Interaction with Serotonergic System Gene Polymorphisms
Current Pharmacogenomics and Personalized Medicine Geriatric Depression - Review for Primary Care
Current Psychiatry Reviews Targeting Indoleamine 2,3-dioxygenase (IDO) to Counteract Tumour- Induced ImmuneDysfunction: From Biochemistry to Clinical Development
Endocrine, Metabolic & Immune Disorders - Drug Targets Quantum Dots as Promising Theranostic Tools Against Amyloidosis: A Review
Protein & Peptide Letters Progress of Computer-Aided Drug Design (CADD) of Proteasome Inhibitors
Current Topics in Medicinal Chemistry T Cell Replicative Senescence in Human Aging
Current Pharmaceutical Design Liver X Receptor: Crosstalk Node for the Signaling of Lipid Metabolism,Carbohydrate Metabolism, and Innate Immunity
Current Signal Transduction Therapy What are the Potential Benefits of Clinical β-Cell Imaging in Diabetes Mellitus?
Current Pharmaceutical Design Nutriproteomics and Nutrigenomics: Exploring the Mechanism Behind omega-3 Polyunsaturated Fatty Acids, Homocysteine and Glucose Metabolism
Current Proteomics Indoleamine 2,3-Dioxygenase, an Emerging Target for Anti-Cancer Therapy
Current Cancer Drug Targets Flavones as a Privileged Scaffold in Drug Discovery: Current Developments
Current Organic Synthesis Potential Application of Centrifuges to Protect the CNS in Space and on Earth
Current Alzheimer Research Anti-Angiogenesis Drugs in Diabetic Retinopathy
Current Pharmaceutical Biotechnology Indicators of Cardiovascular Risk in Metabolic Syndrome: Long Term Follow-up in Italian Patients
Current Vascular Pharmacology Interrelationships between Hepatic Fat and Insulin Resistance in Non- Alcoholic Fatty Liver Disease
Current Diabetes Reviews Food Fortification with Omega-3 Fatty Acids; Microencapsulation as an Addition Method
Current Nutrition & Food Science The Study on the Active Ingredients and Potential Targets of Rice Bran Petroleum Ether Extracts for Treating Diabetes Based on Network Pharmacology
Combinatorial Chemistry & High Throughput Screening Cardiovascular Disease in Patients with Diabetic Nephropathy
Current Molecular Medicine Intestinal Microbiota: A Regulator of Intestinal Inflammation and Cardiac Ischemia?
Current Drug Targets L-Dopa Related Hyperhomocysteinemia: A Possible Mediator of Toxicity?
Letters in Drug Design & Discovery