Literature DB >> 26580563

In silico investigation of new binding pocket for mitogen activated kinase kinase (MEK): Development of new promising inhibitors.

Hamed Yari1, Mohamad Reza Ganjalikhany2, Hamidreza Sadegh3.   

Abstract

It has been previously shown that the inhibition of mitogen activated protein kinase kinase (MEK) contributes to apoptosis and suppression of different cancer cells. Correspondingly, a number of MEK1/2 inhibitors have been designed and evaluated since 2001. However, they did not satisfy essential pharmacokinetic (PK) and pharmacodynamic (PD) properties thus, almost most of them were terminated in pre-clinical or clinical studies. This study aims to design new specific MEK1/2 inhibitors with improved PK/PD profiles to be used as alternative cancer medications. In first part of this study, a comprehensive screening, for the first time, was done on well-known MEK1/2 inhibitors using a number of computational programs such as AutoDock Tools 4.2 (ADT) and AutoDock Vina. Therefore a valuable training dataset as well as a reliable pharmacophore model were provided which were then used to design new inhibitors. According to the results of training dataset, Trametinib was determined as the best inhibitor provided, so far. So, Trametinib was used as the lead structure to design new inhibitors in this study. In second part of this investigation, a set of new allosteric MEK1/2 inhibitors were designed significantly improving the binding energy as well as the ADMET properties, suggesting more specific and stable ligand-receptor complexes. Consequently, the structures 14 and 15 of our inhibitors, as the most potent structures, are great substituents for Trametinib to be used and evaluated in clinical trials as alternative cancer drugs.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  3D-QSAR; ADMET properties; AutoDock; Mitogen activated protein kinase kinase; Vina

Mesh:

Substances:

Year:  2015        PMID: 26580563     DOI: 10.1016/j.compbiolchem.2015.09.013

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  3 in total

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Journal:  Cell Biochem Biophys       Date:  2021-11-01       Impact factor: 2.989

2.  Novel Peptide Inhibitors for Lactate Dehydrogenase A (LDHA): A Survey to Inhibit LDHA Activity via Disruption of Protein-Protein Interaction.

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Journal:  Sci Rep       Date:  2019-03-18       Impact factor: 4.379

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Journal:  PLoS One       Date:  2019-05-22       Impact factor: 3.240

  3 in total

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