178
Views
2
CrossRef citations to date
0
Altmetric
Research Articles

Structural insights into the inhibitor binding and new inhibitor design to Polo-like kinase-1 Polo-box domain using computational studies

&
Pages 3410-3421 | Received 02 Jun 2018, Accepted 13 Aug 2018, Published online: 01 Nov 2018
 

Abstract

Polo box domain (PBD) from Polo-Like Kinase-1 (PLK-1) a cell cycle regulator is one of the important non-kinase targets implicated in various cancers. The crystal structure of PLK-1 PBD bound to phosphopeptide inhibitor is available and acylthiourea derivatives have been reported as potent PBD inhibitors. In this work, structure and ligand-based pharmacophore methods have been used to identify new PBD inhibitors. The binding of acylthiourea analogs and new inhibitors to PBD were assessed using molecular docking and molecular dynamics simulations to understand their binding interactions, investigate the complex stability and reveal the molecular basis for inhibition. This study provides the binding free energies and residue-wise contributions to decipher the essential interactions in the protein-inhibitor complementarity for complex formation and the design of new PBD inhibitors with better binding.

Communicated by Ramaswamy H. Sarma

Acknowledgments

The authors thank CMSD, University of Hyderabad for providing computational facilities. MA thanks Ministry of Higher Education & Scientific Research, Republic of Yemen.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,074.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.