一类新型DNA荧光探针的计算机研究:对接、分子动力学和量子化学计算

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Guilherme Saldanha Henkin, Simone Cristina Baggio Gnoatto, Diego Defferrari, Bruno Bercini de Araújo, Paulo Fernando Bruno Gonçalves, Paulo Augusto Netz
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引用次数: 0

摘要

生物化学结构中的天然荧光在细胞成像中可能导致不满意的结果。这个缺点可以通过激发态分子内质子转移(ESIPT)荧光探针分子来解决,从而提高分辨率和信噪比。对接研究了132种苯唑的结合自由能,确定了它们与DNA的结合模式(小槽(MG)或插层(INT)),并与商业探针4 ',6-二氨基-2-苯基吲哚二盐酸盐(DAPI)和吖啶橙(AO)进行了比较。在生理条件下,对这5种配体以及AO和DAPI进行了原子分子动力学模拟。其中3种配体的结合能均高于两种商用探针,另外2种配体的结合能均高于AO,但低于DAPI。所提出的苯并唑作为插层剂和MG结合剂。利用分子力学泊松-玻尔兹曼表面积(MM/PBSA)计算来估计配体-受体复合物的结合自由能,我们可以证实这些分子与DNA的强相互作用。通过量子化学计算估计了所选配体激发后的发射能量,结果表明配体具有较大的Stokes位移值,并且对某些分子具有有利的ESIPT过程。苯并唑1-5表现出与DNA的强相互作用,在结合强度上超过了商业探针,并表现出良好的光物理性质。因此,这些配体是有前途的荧光DNA探针,适用于各种诊断技术。方法利用Gabedit构建并优化132个苯并唑配体,并利用AutoDock与B-DNA低聚物对接。在GROMACS中使用AMBER-parmbsc0和GAFF力场进行分子动力学模拟。量子化学计算(TD-DFT)在高斯16中提供了激发态性质,在CAM-B3LYP/cc-pVDZ理论水平上进行了优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

In silico study of a new class of DNA fluorescent probes: docking, molecular dynamics and quantum chemistry calculations

In silico study of a new class of DNA fluorescent probes: docking, molecular dynamics and quantum chemistry calculations

Context

Natural fluorescence in biochemical structures can result in unsatisfactory outcomes in cell imaging. This drawback can be addressed by using probe molecules that fluoresce via Excited State Intramolecular Proton Transfer (ESIPT), thereby improving resolution and the signal-to-noise ratio. A docking study was conducted to estimate the binding free energy of 132 benzazoles and to determine their binding modes (minor groove (MG) or intercalation (INT)) to DNA, comparing them with the commercial probes 4’,6-Diamidino-2-phenylindole dihydrochloride (DAPI) and acridine orange (AO). Atomistic molecular dynamics simulations under physiological conditions were performed for the five top-ranked ligands, as well as for AO and DAPI. Three of the investigated ligands exhibited stronger binding energy than both commercial probes, while the other two showed stronger binding energy than AO, but not than DAPI. The proposed benzazoles acted as intercalators and MG binders. Using molecular mechanics Poisson-Boltzmann surface area (MM/PBSA) calculations to estimate the binding free energy of the ligand-receptor complexes, we could confirm the strong interaction of these molecules with DNA. Quantum Chemical Calculations were performed to estimate the emission energies upon excitation of the selected ligands, which showed large Stokes shift values and, for some molecules, favorable ESIPT processes. Benzazoles 1–5 demonstrated strong interactions with DNA, surpassing the commercial probes in binding strength and displaying promising photophysical properties. Consequently, these ligands are promising fluorescent DNA probes, suitable for various diagnostic techniques.

Methods

132 Benzazole ligands were constructed and optimized using Gabedit and docked to a B-DNA oligomer using AutoDock. Molecular dynamics simulations were run in GROMACS, using AMBER-parmbsc0 and GAFF force fields. Quantum chemical calculations (TD-DFT) in Gaussian 16 provided excited-state properties, optimized at the CAM-B3LYP/cc-pVDZ level of theory.

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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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