Automated Fragmentation QM/MM Calculation of NMR Chemical Shifts for Protein-Ligand Complexes

被引:18
|
作者
Jin, Xinsheng [1 ]
Zhu, Tong [1 ,2 ]
Zhang, John Z. H. [1 ,2 ,3 ]
He, Xiao [1 ,2 ,4 ]
机构
[1] East China Normal Univ, Shanghai Engn Res Ctr Mol Therapeut & New Drug De, Sch Chem & Mol Engn, State Key Lab Precis Spect, Shanghai, Peoples R China
[2] NYU Shanghai, NYU ECNU Ctr Computat Chem, Shanghai, Peoples R China
[3] NYU, Dept Chem, New York, NY USA
[4] Natl Engn Res Ctr Nanotechnol, Shanghai, Peoples R China
来源
FRONTIERS IN CHEMISTRY | 2018年 / 6卷
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
AF-QMMM; NMR chemical shift; protein-ligand binding; scoring function; structure prediction; QUANTUM-MECHANICAL CALCULATION; EMPIRICAL SCORING FUNCTIONS; NEOCARZINOSTATIN CHROMOPHORE; ELECTRONIC-STRUCTURE; ACCURATE DOCKING; PREDICTION; MODEL; C-13; C-13(ALPHA); SIMULATIONS;
D O I
10.3389/fchem.2018.00150
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In this study, the automated fragmentation quantum mechanics/molecular mechanics (AF-QM/MM) method was applied for NMR chemical shift calculations of protein-ligand complexes. In the AF-QM/MM approach, the protein binding pocket is automatically divided into capped fragments (within similar to 200 atoms) for density functional theory (DFT) calculations of NMR chemical shifts. Meanwhile, the solvent effect was also included using the Poission-Boltzmann (PB) model, which properly accounts for the electrostatic polarization effect from the solvent for protein-ligand complexes. The NMR chemical shifts of neocarzinostatin (NCS)-chromophore binding complex calculated by AF-QM/MM accurately reproduce the large-sized system results. The H-1 chemical shift perturbations (CSP) between apo-NCS and holo-NCS predicted by AF-QM/MM are also in excellent agreement with experimental results. Furthermore, the DFT calculated chemical shifts of the chromophore and residues in the NCS binding pocket can be utilized as molecular probes to identify the correct ligand binding conformation. By combining the CSP of the atoms in the binding pocket with the Glide scoring function, the new scoring function can accurately distinguish the native ligand pose from decoy structures. Therefore, the AF-QM/MM approach provides an accurate and efficient platform for protein-ligand binding structure prediction based on NMR derived information.
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页数:11
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