Literature DB >> 19655805

Docking studies on DNA-ligand interactions: building and application of a protocol to identify the binding mode.

Clarisse G Ricci1, Paulo A Netz.   

Abstract

Despite DNA being an important target for several drugs, most of the docking programs are validated only for proteins and their ligands. In this paper, we used AutoDock 4.0 to perform self-dockings and cross dockings between two DNA ligands (a minor groove binder and an intercalator) and four distinct receptors: 1) crystallographic DNA without intercalation gap; 2) crystallographic DNA with intercalation gap; 3) canonical B-DNA; and 4) modified B-DNA with intercalation gap. Besides being efficient in self-dockings, AutoDock is capable of correctly identifying two of the main DNA binding modes with the condition that the target possesses an artificial intercalation gap. Therefore, we suggest a default protocol to identify DNA binding modes which uses a modified canonical DNA (with gap) as receptor. This protocol was applied to dock two different Troger bases to DNA and the predicted binding modes agree with those suggested, yet not established, by experimental data. We also applied the protocol to dock aflatoxin B(1) exo-8,9-epoxide, and the results are in complete agreement with experimental data from the literature. We propose that this approach can be used to investigate other ligands whose binding mode to DNA remains unknown, yielding a suitable starting point for further theoretical studies such as molecular dynamics simulations.

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Year:  2009        PMID: 19655805     DOI: 10.1021/ci9001537

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  11 in total

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Journal:  ACS Med Chem Lett       Date:  2018-02-26       Impact factor: 4.345

4.  DNA binding and cleavage, BRCA1 gene interaction, antiglycation and anticancer studies of transition metal complexes of sulfonamides.

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Journal:  Molecules       Date:  2015-12-24       Impact factor: 4.411

7.  Evaluation of Docking Machine Learning and Molecular Dynamics Methodologies for DNA-Ligand Systems.

Authors:  Tiago Alves de Oliveira; Lucas Rolim Medaglia; Eduardo Habib Bechelane Maia; Letícia Cristina Assis; Paulo Batista de Carvalho; Alisson Marques da Silva; Alex Gutterres Taranto
Journal:  Pharmaceuticals (Basel)       Date:  2022-01-22

8.  Chemical Composition, Antioxidant and Enzyme Inhibitory Activities of Onosma bourgaei and Onosma trachytricha and in Silico Molecular Docking Analysis of Dominant Compounds.

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Journal:  Molecules       Date:  2021-05-18       Impact factor: 4.411

9.  Novel isothiacalothrixin B analogues exhibit cytotoxic activity on human colon cancer cells in vitro by inducing irreversible DNA damage.

Authors:  Nachiappan Dhatchana Moorthy; Bose Muthu Ramalingam; Saleem Iqbal; Arasambattu K Mohanakrishnan; Krishnasamy Gunasekaran; Elangovan Vellaichamy
Journal:  PLoS One       Date:  2018-09-06       Impact factor: 3.240

10.  eDNA Inactivation and Biofilm Inhibition by the PolymericBiocide Polyhexamethylene Guanidine Hydrochloride (PHMG-Cl).

Authors:  Olena V Moshynets; Taras P Baranovskyi; Olga S Iungin; Nadiia P Kysil; Larysa O Metelytsia; Ianina Pokholenko; Viktoria V Potochilova; Geert Potters; Kateryna L Rudnieva; Svitlana Y Rymar; Ivan V Semenyuta; Andrew J Spiers; Oksana P Tarasyuk; Sergiy P Rogalsky
Journal:  Int J Mol Sci       Date:  2022-01-10       Impact factor: 5.923

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