Molecular modelling methods for prediction of sequence-selectivity in DNA recognition.
We describe how one can apply molecular modelling methods, based on the molecular mechanics/generalised Born (MM/GB) approach, to the prediction of the relative affinity of DNA minor groove binding ligands for different DNA sequences. We discuss the theoretical background to the technique, some variations in the methodology that can be employed, and illustrate its application through a case study: analysis of the energetics of binding of Hoechst 33258 to the minor groove of various A/T-rich DNA duplexes. We show how the underpinning molecular dynamics (MD) simulations can be set up, how they can be analysed for satisfactory behaviour, and various approaches to extracting thermodynamics of drug binding from them. We find that while certain elaborations to the basic MM/GB method can improve the agreement with experimental data (e.g., calculating the DNA perturbation energy), others have to be analysed with more caution (e.g., calculating configurational entropy changes). Overall, these methodologies can rank the affinity of a ligand for the minor groove of different DNA sequences fairly well, but the calculation of absolute binding affinities is not very reliable.
Wang
Hao
H
School of Pharmacy and Centre for Biomolecular Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK.
Laughton
Charles A
CA
D001482:Base Composition; D001483:Base Sequence; D006690:Bisbenzimidazole / Q000737:chemistry; D003198:Computer Simulation; D004247:DNA / Q000737:chemistry*; D005456:Fluorescent Dyes / Q000737:chemistry; D008024:Ligands; D008958:Models, Molecular; D008969:Molecular Sequence Data; D015394:Molecular Structure; D009690:Nucleic Acid Conformation; D013816:Thermodynamics
D005456:Fluorescent Dyes; D008024:Ligands; D004247:DNA; D006690:Bisbenzimidazole