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Identification of Phytochemicals Targeting c-Met Kinase Domain using Consensus Docking and Molecular Dynamics Simulation Studies

Overview of attention for article published in Cell Biochemistry and Biophysics, August 2017
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Title
Identification of Phytochemicals Targeting c-Met Kinase Domain using Consensus Docking and Molecular Dynamics Simulation Studies
Published in
Cell Biochemistry and Biophysics, August 2017
DOI 10.1007/s12013-017-0821-6
Pubmed ID
Authors

Shima Aliebrahimi, Shideh Montasser Kouhsari, Seyed Nasser Ostad, Seyed Shahriar Arab, Leila Karami

Abstract

c-Met receptor tyrosine kinase is a proto-oncogene whose aberrant activation is attributed to a lower rate of survival in most cancers. Natural product-derived inhibitors known as "fourth generation inhibitors" constitute more than 60% of anticancer drugs. Furthermore, consensus docking approach has recently been introduced to augment docking accuracy and reduce false positives during a virtual screening. In order to obtain novel small-molecule Met inhibitors, consensus docking approach was performed using Autodock Vina and Autodock 4.2 to virtual screen Naturally Occurring Plant-based Anti-cancer Compound-Activity-Target database against active and inactive conformation of c-Met kinase domain structure. Two hit molecules that were in line with drug-likeness criteria, desired docking score, and binding pose were subjected to molecular dynamics simulations to elucidate intermolecular contacts in protein-ligand complexes. Analysis of molecular dynamics simulations and molecular mechanics Poisson-Boltzmann surface area studies showed that ZINC08234189 is a plausible inhibitor for the active state of c-Met, whereas ZINC03871891 may be more effective toward active c-Met kinase domain compared to the inactive form due to higher binding energy. Our analysis showed that both the hit molecules formed hydrogen bonds with key residues of the hinge region (P1158, M1160) in the active form, which is a hallmark of kinase domain inhibitors. Considering the pivotal role of HGF/c-Met signaling in carcinogenesis, our results propose ZINC08234189 and ZINC03871891 as the therapeutic options to surmount Met-dependent cancers.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 13%
Student > Bachelor 7 13%
Researcher 6 11%
Student > Doctoral Student 5 9%
Professor > Associate Professor 4 8%
Other 7 13%
Unknown 17 32%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 9 17%
Biochemistry, Genetics and Molecular Biology 8 15%
Chemistry 6 11%
Computer Science 5 9%
Agricultural and Biological Sciences 3 6%
Other 2 4%
Unknown 20 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 August 2017.
All research outputs
#20,444,703
of 22,999,744 outputs
Outputs from Cell Biochemistry and Biophysics
#570
of 917 outputs
Outputs of similar age
#275,890
of 315,948 outputs
Outputs of similar age from Cell Biochemistry and Biophysics
#7
of 14 outputs
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So far Altmetric has tracked 917 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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