Dataset in support of the paper: BRD4: Quantum mechanical protein-ligand binding free energies using the full-protein DFT-based QM-PBSA method
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https://eprints.soton.ac.uk/470397/
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资源简介:
Electronic Supporting Information for Publication "BRD4: Quantum mechanical protein-ligand binding free energies using the full-protein DFT-based QM-PBSA method" in PCCP, published in Physical Chemistry Chemical Physics Fully quantum mechanical approaches to calculating protein-ligand free energies of binding have the potential to reduce empiricism and explicitly account for all physical interactions responsible for protein-ligand binding. In this study, we show a realistic test of the linear-scaling DFT-based QM-PBSA method to estimate quantum mechanical protein-ligand binding free energies for a set of ligands binding to the pharmaceutical drug-target bromodomain containing protein 4 (BRD4). We show that quantum mechanical QM-PBSA is a significant improvement over traditional MM-PBSA in terms of accuracy against experiment and ligand rank ordering and that the quantum and classical binding energies are converged to a similar degree. We test the interaction entropy and normal mode entropy correction terms to QM- and MM-PBSA. The data set contains input and output files for DFT calculations performed and outputs for MM-PBSA/GBSA and normal mode analysis calculations.
发表于《物理化学化学物理》(Physical Chemistry Chemical Physics,简称PCCP)的论文《BRD4:采用全蛋白密度泛函理论(Density Functional Theory,DFT)基量子力学-泊松玻尔兹曼表面积(Quantum Mechanics-Poisson Boltzmann Surface Area,QM-PBSA)方法计算量子力学蛋白-配体结合自由能》的电子补充材料
用于计算蛋白-配体结合自由能的全量子力学方法,可有效降低经验依赖,并明确涵盖蛋白-配体结合过程中的所有物理相互作用。
本研究针对一系列结合于药物靶点含溴结构域蛋白4(bromodomain containing protein 4,BRD4)的配体,采用基于线性标度密度泛函理论的QM-PBSA方法估算量子力学蛋白-配体结合自由能,并对该方法开展了实际验证测试。
研究表明,相较于传统分子力学-泊松玻尔兹曼表面积(Molecular Mechanics-Poisson Boltzmann Surface Area,MM-PBSA)方法,QM-PBSA在实验吻合度与配体排序准确性上均有显著提升,且量子结合能与经典结合能的收敛程度基本一致。
本研究还测试了QM-PBSA与MM-PBSA的相互作用熵及简正模熵校正项。
本数据集包含已完成的DFT计算的输入与输出文件,以及MM-PBSA/广义玻恩表面积(Generalized Born Surface Area,GBSA)计算和简正模分析计算的输出文件。
提供机构:
University of Southampton
创建时间:
2022-10-11



