PMID- 31333136 OWN - NLM STAT- MEDLINE DCOM- 20200914 LR - 20200914 IS - 1873-5592 (Electronic) IS - 1389-4501 (Linking) VI - 20 IP - 16 DP - 2019 TI - Computational and Experimental Approaches to Design Inhibitors of Amylin Aggregation. PG - 1680-1694 LID - 10.2174/1389450120666190719164316 [doi] AB - Amylin is a neuroendocrine peptide hormone secreted by pancreatic ss-cells; however, amylin is toxic to ss-cells when it is aggregated in type 2 diabetes mellitus (T2DM). It is important to understand amylin's structures and aggregation mechanism for the discovery and design of effective drugs to inhibit amylin aggregation. In this review, we investigated experimental and computational studies on amylin structures and inhibitors. Our review provides some novel insights into amylin, particularly for the design of its aggregation inhibitors to treat T2DM. We detailed the potential inhibitors that have been studied hitherto and highlighted the neglected need to consider different amylin attributes that depend on the presence/absence of physiologically relevant conditions, such as membranes. These conditions and the experimental methods can greatly influence the results of studies on amylininhibitor complexes. Text-mining over 3,000 amylin-related PubMed abstracts suggests the combined therapeutic potential of amylin with leptin and glucagon-like peptide-1, which are two key hormones in obesity. The results also suggest that targeting amylin aggregation can contribute to therapeutic efforts for Alzheimer's disease (AD). Therefore, we have also reviewed the role of amylin in other conditions including obesity and AD. Finally, we provided insights for designing inhibitors of different types (small molecules, proteins, peptides/mimetics, metal ions) to inhibit amylin aggregation. CI - Copyright(c) Bentham Science Publishers; For any queries, please email at epub@benthamscience.net. FAU - Kumar, Ammu Prasanna AU - Kumar AP AD - Department of Chemistry, College of Arts and Sciences, Khalifa University, Abu Dhabi, United Arab Emirates. AD - Research Unit in Bioinformatics, Department of Biochemistry and Microbiology, Rhodes University, South Africa. FAU - Lee, Sungmun AU - Lee S AD - Department of Biomedical Engineering and Healthcare Engineering Innovation Center, College of Engineering, Khalifa University, Abu Dhabi, United Arab Emirates. FAU - Lukman, Suryani AU - Lukman S AD - Department of Chemistry, College of Arts and Sciences, Khalifa University, Abu Dhabi, United Arab Emirates. LA - eng PT - Journal Article PT - Review PL - United Arab Emirates TA - Curr Drug Targets JT - Current drug targets JID - 100960531 RN - 0 (Islet Amyloid Polypeptide) RN - 0 (Peptide Hormones) RN - 0 (Protein Aggregates) SB - IM MH - Alzheimer Disease/drug therapy/metabolism MH - Diabetes Mellitus, Type 2/metabolism MH - Humans MH - Islet Amyloid Polypeptide/*metabolism MH - Peptide Hormones/metabolism MH - Protein Aggregates/*drug effects OTO - NOTNLM OT - Alzheimer's disease therapy OT - Amylin OT - IAPP OT - aggregation inhibitors OT - conformation of amylin OT - islet amyloid polypeptide OT - literature review OT - type 2 diabetes therapy. EDAT- 2019/07/25 06:00 MHDA- 2020/09/15 06:00 CRDT- 2019/07/24 06:00 PHST- 2019/04/30 00:00 [received] PHST- 2019/07/04 00:00 [revised] PHST- 2019/07/05 00:00 [accepted] PHST- 2019/07/25 06:00 [pubmed] PHST- 2020/09/15 06:00 [medline] PHST- 2019/07/24 06:00 [entrez] AID - CDT-EPUB-99790 [pii] AID - 10.2174/1389450120666190719164316 [doi] PST - ppublish SO - Curr Drug Targets. 2019;20(16):1680-1694. doi: 10.2174/1389450120666190719164316.