Literature DB >> 24180400

Leptin and the OB-receptor as anti-obesity target: recent in silico advances in the comprehension of the protein-protein interaction and rational drug design of anti- obesity lead compounds.

Marco Tutone, Antonino Lauria, Anna Maria Almerico1.   

Abstract

The OB-receptor or leptin receptor (LR) is crucial for energy homeostasis and regulation of food uptake. Leptin is a 16 kDa hormone that is mainly secreted by fat cells into the bloodstream. Under normal circumstances, circulating leptin levels are proportionate to the fat body mass. Sensing of elevated leptin levels by the hypothalamic neuro-circuitry activates a negative feedback loop resulting in reduced food intake and increased energy expenditure. Decreased leptin concentrations lead to opposite effects. Therefore, rational design of leptin agonists/antagonists could be an appealing challenge in the battle against obesity. The Leptin/LR interactions have been studied in several works by means of different molecular modelling approaches, spreading from homology modelling to manual docking. No small molecules have ever been proposed as agonists of the Ob receptor but researchers' efforts focused only on leptin-related synthetic peptides as receptor antagonists and on peptidomimetics. In this review we try to track a timeline of obtained in silico information to clarify the mechanism of interaction between leptin and its receptor, together to summarize the more recent efforts to propose new drugs usable in anti-obesity therapy. Final considerations could be useful starting points for the rational drug design of new lead compounds.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24180400     DOI: 10.2174/13816128113196660743

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  3 in total

1.  Molecular dynamics, dynamic site mapping, and highthroughput virtual screening on leptin and the Ob receptor as anti-obesity target.

Authors:  Marco Tutone; Licia Pantano; Antonino Lauria; Anna Maria Almerico
Journal:  J Mol Model       Date:  2014-05-06       Impact factor: 1.810

2.  Computational data of phytoconstituents from Hibiscus rosa-sinensis on various anti-obesity targets.

Authors:  Sejal P Gandhi; Kiran B Lokhande; Venkateswara K Swamy; Rabindra K Nanda; Sohan S Chitlange
Journal:  Data Brief       Date:  2019-05-16

3.  Pierced Lasso Bundles are a new class of knot-like motifs.

Authors:  Ellinor Haglund; Joanna I Sulkowska; Jeffrey K Noel; Heiko Lammert; José N Onuchic; Patricia A Jennings
Journal:  PLoS Comput Biol       Date:  2014-06-19       Impact factor: 4.475

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.