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Updated: May 26, 2025

Measuring Biomolecular DSC Profiles with Thermolabile Ligands to Rapidly Characterize Folding and Binding Interactions
Published on: November 21, 2017
Accurate prediction of DNA-Intercalator binding energies: Ensemble of short or long molecular dynamics simulations?
Anju Choorakottayil Pushkaran1, Alya A Arabi1
1Department of Biochemistry and Molecular Biology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, P.O. Box: 15551, United Arab Emirates.
Abstract:
Despite the wide use of molecular dynamics (MD) simulations for binding energy predictions in biomolecular systems, results from single MD simulations are non-reproducible and often deviate from experimental values, even when longer simulations are used. This study addresses these limitations using ensemble MD simulations for the formation of DNA-intercalator complexes. Twenty-five replicas of short (10 ns) and long (100 ns) MD simulations were performed on different intercalators binding into DNA. The MM/PBSA and MM/GBSA binding energies of the Doxorubicin intercalating into DNA, including entropy and deformation energy corrections, are -7.3 ± 2.0 kcal/mol and -8.9 ± 1.6 kcal/mol, using 25 replicas of 100 ns. These values were closely reproduced even with shorter simulations of 10 ns, where the energies, averaged over 25 replicas, are -7.6 ± 2.4 kcal/mol (MM/PBSA) and -8.3 ± 2.9 kcal/mol (MM/GBSA). In both cases, the energies align well with the experimental range of -7.7 ± 0.3 to -9.9 ± 0.1 kcal/mol. This shows that reproducibility and accuracy of the binding energies depend more on the number of replicas than on the simulation length. The study was repeated for the DNA-Proflavine system, where the corrected MM/PBSA and MM/GBSA binding energies, averaged over 25 replicas of 10 ns each, are -5.6 ± 1.4 and -5.3 ± 2.3 kcal/mol, respectively. These are congruent with the experimental range of -5.9 to -7.1 kcal/mol. Bootstrap analyses revealed that 6 replicas of 100 ns or 8 replicas of 10 ns provide a good balance between computational efficiency and accuracy within 1.0 kcal/mol from experimental values.

