Literature DB >> 26294069

Prediction of enzyme inhibition and mode of inhibitory action based on calculation of distances between hydrogen bond donor/acceptor groups of the molecule and docking analysis: An application on the discovery of novel effective PTP1B inhibitors.

P Eleftheriou1, A Petrou2, A Geronikaki2, K Liaras2, S Dirnali1, M Anna1.   

Abstract

PTP1B is a protein tyrosine phosphatase involved in insulin receptor desensitization. PTP1B inhibition prolongs the activated state of the receptor, practically enhancing the effect of insulin. Thus PTP1B has become a drug target for the treatment of type II diabetes. PTP1b is an enzyme with multiple binding sites for competitive and allosteric inhibitors. Prediction of inhibitory action using docking analysis has limited success in case of enzymes with multiple binding sites, since the selection of the right crystal structure depends on the kind of inhibitor. In the present study, a two-step strategy for the prediction of PTP1b inhibitory action was applied to 12 compounds. Based on the study of known inhibitors, we isolated the structural characteristics required for binding to each binding site. As a first step, 3D-structures of the molecules were produced and their structural parameters were measured and used for prediction of the binding site of the compound. These results were used for the selection of the appropriate crystal structure for docking analysis of each compound, and the final prediction was based on the estimated binding energies. This strategy effectively predicted the activity of all compounds. A linear correlation was found between estimated binding energy and inhibition measured in vitro (r = -0.894).

Entities:  

Keywords:  PTP1b inhibitors; active centre; allosteric centre; competitive inhibitors; diabetes; docking analysis; structural characteristics; thiazols; uncompetitive inhibitors

Mesh:

Substances:

Year:  2015        PMID: 26294069     DOI: 10.1080/1062936X.2015.1074939

Source DB:  PubMed          Journal:  SAR QSAR Environ Res        ISSN: 1026-776X            Impact factor:   3.000


  6 in total

1.  Application of Docking Analysis in the Prediction and Biological Evaluation of the Lipoxygenase Inhibitory Action of Thiazolyl Derivatives of Mycophenolic Acid.

Authors:  Evangelia Tsolaki; Phaedra Eleftheriou; Victor Kartsev; Athina Geronikaki; Anil K Saxena
Journal:  Molecules       Date:  2018-07-03       Impact factor: 4.411

2.  New Substituted 5-Benzylideno-2-Adamantylthiazol[3,2-b][1,2,4]Triazol-6(5H)ones as Possible Anti-Inflammatory Agents.

Authors:  Christophe Tratrat; Michelyne Haroun; Aliki Paparisva; Charalmpos Kamoutsis; Anthi Petrou; Antonis Gavalas; Phaedra Eleftheriou; Athina Geronikaki; Katharigatta N Venugopala; Hafedh Kochkar; Anroop B Nair
Journal:  Molecules       Date:  2021-01-27       Impact factor: 4.411

3.  In silico identification and study of potential anti-mosquito juvenile hormone binding protein (MJHBP) compounds as candidates for dengue virus - Vector insecticides.

Authors:  Chimaobi James Ononamadu; Mohnad Abdalla; Godwin Okwudiri Ihegboro; Jin Li; Tajudeen Alowonle Owolarafe; Timothy Datit John; Qiang Tian
Journal:  Biochem Biophys Rep       Date:  2021-11-30

4.  Thiazole/Thiadiazole/Benzothiazole Based Thiazolidin-4-One Derivatives as Potential Inhibitors of Main Protease of SARS-CoV-2.

Authors:  Anthi Petrou; Panagiotis Zagaliotis; Nikoleta F Theodoroula; George A Mystridis; Ioannis S Vizirianakis; Thomas J Walsh; Athina Geronikaki
Journal:  Molecules       Date:  2022-03-28       Impact factor: 4.411

Review 5.  Computational Methods in Cooperation with Experimental Approaches to Design Protein Tyrosine Phosphatase 1B Inhibitors in Type 2 Diabetes Drug Design: A Review of the Achievements of This Century.

Authors:  Mara Ibeth Campos-Almazán; Alicia Hernández-Campos; Rafael Castillo; Erick Sierra-Campos; Mónica Valdez-Solana; Claudia Avitia-Domínguez; Alfredo Téllez-Valencia
Journal:  Pharmaceuticals (Basel)       Date:  2022-07-14

6.  In Silico Evaluation of the Effectivity of Approved Protease Inhibitors against the Main Protease of the Novel SARS-CoV-2 Virus.

Authors:  Phaedra Eleftheriou; Dionysia Amanatidou; Anthi Petrou; Athina Geronikaki
Journal:  Molecules       Date:  2020-05-29       Impact factor: 4.411

  6 in total

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