Dataset Information

SAMPL6: calculation of macroscopic pKa values from ab initio quantum mechanical free energies.

ABSTRACT: Macroscopic pKa values were calculated for all compounds in the SAMPL6 blind prediction challenge, based on quantum chemical calculations with a continuum solvation model and a linear correction derived from a small training set. Microscopic pKa values were derived from the gas-phase free energy difference between protonated and deprotonated forms together with the Conductor-like Polarizable Continuum Solvation Model and the experimental solvation free energy of the proton. pH-dependent microstate free energies were obtained from the microscopic pKas with a maximum likelihood estimator and appropriately summed to yield macroscopic pKa values or microstate populations as function of pH. We assessed the accuracy of three approaches to calculate the microscopic pKas: direct use of the quantum mechanical free energy differences and correction of the direct values for short-comings in the QM solvation model with two different linear models that we independently derived from a small training set of 38 compounds with known pKa. The predictions that were corrected with the linear models had much better accuracy [root-mean-square error (RMSE) 2.04 and 1.95 pKa units] than the direct calculation (RMSE 3.74). Statistical measures indicate that some systematic errors remain, likely due to differences in the SAMPL6 data set and the small training set with respect to their interactions with water. Overall, the current approach provides a viable physics-based route to estimate macroscopic pKa values for novel compounds with reasonable accuracy.

SUBMITTER: Selwa E

PROVIDER: S-EPMC6240492 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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SAMPL6: calculation of macroscopic pKa values from ab initio quantum mechanical free energies.

Selwa Edithe E Kenney Ian M IM Beckstein Oliver O Iorga Bogdan I BI

Journal of computer-aided molecular design 20180806 10

Macroscopic pKa values were calculated for all compounds in the SAMPL6 blind prediction challenge, based on quantum chemical calculations with a continuum solvation model and a linear correction derived from a small training set. Microscopic pKa values were derived from the gas-phase free energy difference between protonated and deprotonated forms together with the Conductor-like Polarizable Continuum Solvation Model and the experimental solvation free energy of the proton. ...[more]

PMID: 30084080

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Project description:DNA polymerases play a crucial role in the cell cycle due to their involvement in genome replication and repair. Understanding the reaction mechanism by which these polymerases carry out their function can provide insights into these processes. Recently, the crystal structures of human DNA polymerase lambda (Pollambda) have been reported both for pre- and post-catalytic complexes [García-Díaz et al., DNA Repair 3 (2007), 1333]. Here we employ the pre-catalytic complex as a starting structure for the determination of the catalytic mechanism of Pollambda using ab initio quantum mechanical/molecular mechanical methods. The reaction path has been calculated using Mg(2+) and Mn(2+) as the catalytic metals. In both cases the reaction proceeds through a two-step mechanism where the 3'-OH of the primer sugar ring is deprotonated by one of the conserved Asp residues (D490) in the active site before the incorporation of the nucleotide to the nascent DNA chain. A significant charge transfer is observed between both metals and some residues in the active site as the reaction proceeds. The optimized reactant and product structures agree with the reported crystal structures. In addition, the calculated reaction barriers for both metals are close to experimentally estimated barriers. Energy decomposition analysis to explain individual residue contributions suggests that several amino acids surrounding the active site are important for catalysis. Some of these residues, including R420, R488 and E529, have been implicated in catalysis by previous mutagenesis experiments on the homologous residues on Polbeta. Furthermore, Pollambda residues R420 and E529 found to be important from the energy decomposition analysis, are homologous to residues R183 and E295 in Polbeta, both of which are linked to cancer. In addition, residues R386, E391, K422 and K472 appear to have an important role in catalysis and could be a potential target for mutagenesis experiments. There is partial conservation of these residues across the Pol X family of DNA polymerases.

Dataset Information

SAMPL6: calculation of macroscopic pKa values from ab initio quantum mechanical free energies.

Publications

SAMPL6: calculation of macroscopic pK<sub>a</sub> values from ab initio quantum mechanical free energies.

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