Literature DB >> 31820194

Sequence specificity in DNA-drug intercalation: MD simulation and density functional theory approaches.

Lakshmi Maganti1, Dhananjay Bhattacharyya2.   

Abstract

DNA is an essential target for the treatment of various pathologies, especially cancer. Hence targeting DNA double helix for alteration of its function has been attempted by several ways. Drug-DNA intercalation, one such biophysical process, could not be studied extensively as this requires significant deformation of the receptor DNA. Here we report thorough theoretical investigation of intercalation process in daunomycin-DNA interaction, by performing molecular dynamics simulations of the drug-DNA complexes for various DNA sequences, followed by Free-energy analysis and density functional theory (DFT) based studies to understand the binding preference. The classical energy based analyses indicate that the drug prefers to bind to TC/GA sequence over others. The DFT based energies of supra-molecular complexes are always contaminated with basis set superposition error (BSSE), which can be corrected by counterpoise method. This method is quite effective for systems containing two molecular fragments but is not appropriate for studying interaction between two base pair fragments and the drug intercalated between them. We have adopted an extension of the counterpoise method for BSSE corrected interaction energy calculation. These interaction energies, along with the energy penalty due to un-stacking of the base pairs, also indicate TC/GA sequence is the most preferred sequence for binding.

Entities:  

Keywords:  BSSE correction; Base pair stacking; MM-PBSA; Molecular recognition

Mesh:

Substances:

Year:  2019        PMID: 31820194     DOI: 10.1007/s10822-019-00268-y

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  62 in total

1.  Assessment of the Performance of the M05-2X and M06-2X Exchange-Correlation Functionals for Noncovalent Interactions in Biomolecules.

Authors:  Edward G Hohenstein; Samuel T Chill; C David Sherrill
Journal:  J Chem Theory Comput       Date:  2008-11-19       Impact factor: 6.006

2.  On the use of orientational restraints and symmetry corrections in alchemical free energy calculations.

Authors:  David L Mobley; John D Chodera; Ken A Dill
Journal:  J Chem Phys       Date:  2006-08-28       Impact factor: 3.488

3.  On the molecular mechanism of drug intercalation into DNA: a simulation study of the intercalation pathway, free energy, and DNA structural changes.

Authors:  Arnab Mukherjee; Richard Lavery; Biman Bagchi; James T Hynes
Journal:  J Am Chem Soc       Date:  2008-07-09       Impact factor: 15.419

Review 4.  RNA structure and dynamics: a base pairing perspective.

Authors:  Sukanya Halder; Dhananjay Bhattacharyya
Journal:  Prog Biophys Mol Biol       Date:  2013-07-23       Impact factor: 3.667

5.  Stepping through an RNA structure: A novel approach to conformational analysis.

Authors:  C M Duarte; A M Pyle
Journal:  J Mol Biol       Date:  1998-12-18       Impact factor: 5.469

Review 6.  Intercalation, DNA kinking, and the control of transcription.

Authors:  M H Werner; A M Gronenborn; G M Clore
Journal:  Science       Date:  1996-02-09       Impact factor: 47.728

7.  Preferential binding of daunomycin to 5'ATCG and 5'ATGC sequences revealed by footprinting titration experiments.

Authors:  J B Chaires; J E Herrera; M J Waring
Journal:  Biochemistry       Date:  1990-07-03       Impact factor: 3.162

8.  Intercalation and induction of strand breaks by adriamycin and daunomycin: a study with human genomic DNA.

Authors:  Debjani Ghosh; Maidul Hossain; Chabita Saha; Subrata Kumar Dey; Gopinatha Suresh Kumar
Journal:  DNA Cell Biol       Date:  2011-08-17       Impact factor: 3.311

9.  Feasibility of occurrence of different types of protonated base pairs in RNA: a quantum chemical study.

Authors:  Antarip Halder; Sukanya Halder; Dhananjay Bhattacharyya; Abhijit Mitra
Journal:  Phys Chem Chem Phys       Date:  2014-09-14       Impact factor: 3.676

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