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Hydropathic analysis of the free energy differences in anthracycline antibiotic binding to DNA.

ABSTRACT: Molecular models of six anthracycline antibiotics and their complexes with 32 distinct DNA octamer sequences were created and analyzed using HINT (Hydropathic INTeractions) to describe binding. The averaged binding scores were then used to calculate the free energies of binding for comparison with experimentally determined values. In parsing our results based on specific functional groups of doxorubicin, our calculations predict a free energy contribution of -3.6 +/- 1.1 kcal x mol(-1) (experimental -2.5 +/- 0.5 kcal x mol(-1)) from the groove binding daunosamine sugar. The net energetic contribution of removing the hydroxyl at position C9 is -0.7 +/- 0.7 kcal x mol(-1) (-1.1 +/- 0.5 kcal x mol(-1)). The energetic contribution of the 3' amino group in the daunosamine sugar (when replaced with a hydroxyl group) is -3.7 +/- 1.1 kcal x mol(-1) (-0.7 +/- 0.5 kcal x mol(-1)). We propose that this large discrepancy may be due to uncertainty in the exact protonation state of the amine. The energetic contribution of the hydroxyl group at C14 is +0.4 +/- 0.6 kcal x mol(-1) (-0.9 +/- 0.5 kcal x mol(-1)), largely due to unfavorable hydrophobic interactions between the hydroxyl oxygen and the methylene groups of the phosphate backbone of the DNA. Also, there appears to be considerable conformational uncertainty in this region. This computational procedure calibrates our methodology for future analyses where experimental data are unavailable.

SUBMITTER: Cashman DJ

PROVIDER: S-EPMC169931 | biostudies-literature | 2003 Aug

REPOSITORIES: biostudies-literature

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Hydropathic analysis of the free energy differences in anthracycline antibiotic binding to DNA.

Cashman Derek J DJ Scarsdale J Neel JN Kellogg Glen E GE

Nucleic acids research 20030801 15

Molecular models of six anthracycline antibiotics and their complexes with 32 distinct DNA octamer sequences were created and analyzed using HINT (Hydropathic INTeractions) to describe binding. The averaged binding scores were then used to calculate the free energies of binding for comparison with experimentally determined values. In parsing our results based on specific functional groups of doxorubicin, our calculations predict a free energy contribution of -3.6 +/- 1.1 kcal x mol(-1) (experime ...[more]

PMID: 12888500

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Project description:BACKGROUND: Specific binding of proteins to DNA is one of the most common ways gene expression is controlled. Although general rules for the DNA-protein recognition can be derived, the ambiguous and complex nature of this mechanism precludes a simple recognition code, therefore the prediction of DNA target sequences is not straightforward. DNA-protein interactions can be studied using computational methods which can complement the current experimental methods and offer some advantages. In the present work we use physical effective potentials to evaluate the DNA-protein binding affinities for the lambda repressor-DNA complex for which structural and thermodynamic experimental data are available. RESULTS: The binding free energy of two molecules can be expressed as the sum of an intermolecular energy (evaluated using a molecular mechanics forcefield), a solvation free energy term and an entropic term. Different solvation models are used including distance dependent dielectric constants, solvent accessible surface tension models and the Generalized Born model. The effect of conformational sampling by Molecular Dynamics simulations on the computed binding energy is assessed; results show that this effect is in general negative and the reproducibility of the experimental values decreases with the increase of simulation time considered. The free energy of binding for non-specific complexes, estimated using the best energetic model, agrees with earlier theoretical suggestions. As a results of these analyses, we propose a protocol for the prediction of DNA-binding target sequences. The possibility of searching regulatory elements within the bacteriophage lambda genome using this protocol is explored. Our analysis shows good prediction capabilities, even in absence of any thermodynamic data and information on the naturally recognized sequence. CONCLUSION: This study supports the conclusion that physics-based methods can offer a completely complementary methodology to sequence-based methods for the identification of DNA-binding protein target sequences.

Dataset Information

Hydropathic analysis of the free energy differences in anthracycline antibiotic binding to DNA.

Publications

Hydropathic analysis of the free energy differences in anthracycline antibiotic binding to DNA.

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