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Microscopic modes and free energies for topoisomerase i-DNA covalent complex binding with non-camptothecin inhibitors by molecular docking and dynamics simulations

Producción científica: Articlerevisión exhaustiva

8 Citas (Scopus)

Resumen

Topoisomerase I (Topo1) has been identified as an attractive target for anticancer drug development due to its central role in facilitating the nuclear process of the DNA. It is essential for rational design of novel Topo1 inhibitors to reliably predict the binding structures of the Topo1 inhibitors interacting with the Topo1-DNA complex. The detailed binding structures and binding free energies for the Topo1-DNA complex interacting with typical non-camptothecin Topo1 inhibitors have been examined by performing molecular docking, molecular dynamic simulations, and binding free energy calculations. The computational results provide valuable insights into the binding modes of the inhibitors binding with the Topo1-DNA complex and the key factors affecting the binding affinity. It has been demonstrated that the p-p stacking interaction with the DNA base pairs and the hydrogen bonding with Topo1 have the pivotal contributions to the binding structures and binding free energies, although the van der Waals and electrostatic interactions also significantly contribute to the stabilization of the binding structures. The calculated binding free energies are in good agreement with the available experiment activity data. The detailed binding modes and the crucial factors affecting the binding free energies obtained from the present computational studies may provide valuable insights for future rational design of novel, more potent Topo1 inhibitors.

Idioma originalEnglish
PublicaciónTheoretical Chemistry Accounts
Volumen132
N.º8
DOI
EstadoPublished - 2013

Nota bibliográfica

Funding Information:
This work was supported in part by the NIH (grant RC1 MH088480 to Zhan) and the NSF (grant CHE-1111761 to Zhan). Wei worked in Dr. Zhan’s laboratory for this project as an exchange student from Dalian University of Technology. The authors also acknowledge the Computer Center at University of Kentucky for supercomputing time on a Dell X-series Cluster with 384 nodes or 4,768 processors. Wei also appreciates the scholarship from Chinese Scholarship Council (CSC).

Financiación

This work was supported in part by the NIH (grant RC1 MH088480 to Zhan) and the NSF (grant CHE-1111761 to Zhan). Wei worked in Dr. Zhan’s laboratory for this project as an exchange student from Dalian University of Technology. The authors also acknowledge the Computer Center at University of Kentucky for supercomputing time on a Dell X-series Cluster with 384 nodes or 4,768 processors. Wei also appreciates the scholarship from Chinese Scholarship Council (CSC).

FinanciadoresNúmero del financiador
National Science Foundation (NSF)CHE-1111761
National Institutes of Health (NIH)RC1 MH088480
China Scholarship Council

    ASJC Scopus subject areas

    • Physical and Theoretical Chemistry

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