CN105718719A - Simulation method for optimizing molecular structure of biosurfactant - Google Patents
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- 239000003876 biosurfactant Substances 0.000 title claims abstract description 48
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- FCBUKWWQSZQDDI-UHFFFAOYSA-N rhamnolipid Chemical group CCCCCCCC(CC(O)=O)OC(=O)CC(CCCCCCC)OC1OC(C)C(O)C(O)C1OC1C(O)C(O)C(O)C(C)O1 FCBUKWWQSZQDDI-UHFFFAOYSA-N 0.000 claims description 30
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- 125000001165 hydrophobic group Chemical group 0.000 description 9
- 238000011084 recovery Methods 0.000 description 9
- 239000007788 liquid Substances 0.000 description 6
- 238000012900 molecular simulation Methods 0.000 description 6
- 238000000547 structure data Methods 0.000 description 6
- 244000005700 microbiome Species 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 238000001338 self-assembly Methods 0.000 description 5
- 238000001179 sorption measurement Methods 0.000 description 5
- 239000004094 surface-active agent Substances 0.000 description 5
- 239000010779 crude oil Substances 0.000 description 4
- 230000003993 interaction Effects 0.000 description 4
- 230000000813 microbial effect Effects 0.000 description 4
- 238000011160 research Methods 0.000 description 4
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical group [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 3
- 238000006073 displacement reaction Methods 0.000 description 3
- 125000004185 ester group Chemical group 0.000 description 3
- 230000035699 permeability Effects 0.000 description 3
- HVCOBJNICQPDBP-UHFFFAOYSA-N 3-[3-[3,5-dihydroxy-6-methyl-4-(3,4,5-trihydroxy-6-methyloxan-2-yl)oxyoxan-2-yl]oxydecanoyloxy]decanoic acid;hydrate Chemical compound O.OC1C(OC(CC(=O)OC(CCCCCCC)CC(O)=O)CCCCCCC)OC(C)C(O)C1OC1C(O)C(O)C(O)C(C)O1 HVCOBJNICQPDBP-UHFFFAOYSA-N 0.000 description 2
- 238000003775 Density Functional Theory Methods 0.000 description 2
- 229930186217 Glycolipid Natural products 0.000 description 2
- SHZGCJCMOBCMKK-JFNONXLTSA-N L-rhamnopyranose Chemical group C[C@@H]1OC(O)[C@H](O)[C@H](O)[C@H]1O SHZGCJCMOBCMKK-JFNONXLTSA-N 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 2
- 125000003178 carboxy group Chemical group [H]OC(*)=O 0.000 description 2
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- 238000006731 degradation reaction Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000005755 formation reaction Methods 0.000 description 2
- 239000011435 rock Substances 0.000 description 2
- 238000005284 basis set Methods 0.000 description 1
- 230000004071 biological effect Effects 0.000 description 1
- 229920001222 biopolymer Polymers 0.000 description 1
- 210000005056 cell body Anatomy 0.000 description 1
- 230000005465 channeling Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000001804 emulsifying effect Effects 0.000 description 1
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- 239000000295 fuel oil Substances 0.000 description 1
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Abstract
本发明公开了一种优化生物表面活性剂分子结构的模拟方法,其是通过特定的量子化学几何优化方法,优化生物表面活性剂的分子结构,用以明确分子动力学模拟中生物表面活性剂分子的稳定构型。该方法首先通过Materials Studio软件构建生物表面活性剂分子的初始构型,其次,利用Materials Studio软件DMol3Tools模块中Calculation对生物表面活性剂进行分子结构优化过程,最后,通过计算得到的振动频率判断生物表面活性剂分子的稳定构型。本发明模拟方法为生物表面活性剂性质的分子动力学模拟提供了一个准确稳定的分子模型,保证了模拟的准确性和可靠性。
The invention discloses a simulation method for optimizing the molecular structure of a biosurfactant, which optimizes the molecular structure of a biosurfactant through a specific quantum chemical geometry optimization method to clarify the biosurfactant molecule in molecular dynamics simulation stable configuration. In this method, the initial configuration of the biosurfactant molecule is constructed first through the Materials Studio software, and secondly, the molecular structure optimization process of the biosurfactant is carried out by using the Calculation in the DMol 3 Tools module of the Materials Studio software, and finally, the vibration frequency obtained by calculation is used to judge Stable conformation of biosurfactant molecules. The simulation method of the invention provides an accurate and stable molecular model for the molecular dynamics simulation of the biosurfactant properties, and ensures the accuracy and reliability of the simulation.
Description
技术领域technical field
本发明涉及生物表面性剂吸附和自组装特性研究领域,具体涉及一种优化生物表面活性剂分子结构的模拟方法。The invention relates to the field of research on the adsorption and self-assembly characteristics of biosurfactants, in particular to a simulation method for optimizing the molecular structure of biosurfactants.
背景技术Background technique
化学表面活性剂驱油是三次采油中提高原油采收率的主要方法之一,但驱油后油田逐渐暴露出非均质性加剧、窜流严重和地层污染等问题。因此,我国各大油田都在探寻一种更佳的提高原油采收率的采油方式。微生物采油技术是通过微生物自身代谢作用(细胞体的作用和微生物降解作用等)及微生物代谢产物(生物气、小分子量酸、有机溶剂、生物聚合物和生物表面活性剂等)作用于油藏中原油和岩层,改善稠油黏度高和难流动等特性、封堵高渗透带、提高低渗区渗透率、提高原油采收率的一项生物技术,对进一步提高原油采收率有重要的意义。Chemical surfactant flooding is one of the main methods to enhance oil recovery in tertiary oil recovery, but after oil flooding, the oil field gradually exposed problems such as increased heterogeneity, serious channeling and formation pollution. Therefore, all major oil fields in my country are looking for a better oil recovery method to enhance oil recovery. Microbial oil recovery technology is to act on the oil reservoir through the metabolism of microorganisms (the function of cell body and microbial degradation, etc.) Crude oil and rock formations, improving the characteristics of high viscosity and difficult flow of heavy oil, sealing high permeability zones, increasing permeability of low permeability areas, and improving oil recovery are a biotechnology that is of great significance to further enhance oil recovery .
微生物能够提高原油采收率主要取决于微生物自身对原油的降解和微生物代谢产物(生物表面活性剂、生物气、有机酸和生物聚合物)对原油的驱替两方面作用。其中,生物表面活性剂在微生物采油中起着至关重要的作用。生物表面活性剂是一类微生物产生的具有生物特性的表面活性剂。生物生物表面活性剂具有许多化学表面活性剂所不具备的优点:生物表活剂在很宽的温度区间内和很高的矿化度的条件下都可以保持比较高的活性,在酸性和碱性条件下都不易失活;容易被微生物所降解,毒性小或没有毒性,不污染环境;具有专一性、选择性;生产原料来源广泛,价格低廉。The ability of microorganisms to enhance oil recovery mainly depends on the degradation of crude oil by microorganisms and the displacement of crude oil by microbial metabolites (biosurfactants, biogas, organic acids and biopolymers). Among them, biosurfactants play a vital role in microbial oil recovery. Biosurfactants are a class of surfactants produced by microorganisms with biological properties. Bio-surfactants have advantages that many chemical surfactants do not have: bio-surfactants can maintain relatively high activity in a wide temperature range and high salinity It is not easy to be inactivated under harsh conditions; it is easily degraded by microorganisms, has little or no toxicity, and does not pollute the environment; it has specificity and selectivity; it has a wide range of raw materials and low prices.
为了明确生物表面活性剂的驱油机理,科研工作者采用实验方法评价了其降低表面张力、乳化原油和改变岩石润湿性等宏观性质,但是吸附和自组装等微观性质无法完全采用实验方法进行研究,而分子模拟方法在分子、原子水平上解释微观相互作用方面具有较大优势,因此生物表面活性剂吸附和自组装特性的分子模拟研究应运而生。在分子模拟中,模型的合理性和准确性是整个模拟过程的前提和关键,因此,一个准确的生物表面活性剂分子构型对于其吸附和自组装特性的分子模拟研究是至关重要的。In order to clarify the oil displacement mechanism of biosurfactants, researchers have used experimental methods to evaluate their macroscopic properties such as reducing surface tension, emulsifying crude oil, and changing rock wettability, but microscopic properties such as adsorption and self-assembly cannot be completely determined by experimental methods. However, molecular simulation methods have great advantages in explaining microscopic interactions at the molecular and atomic levels. Therefore, molecular simulation research on the adsorption and self-assembly properties of biosurfactants came into being. In molecular simulation, the rationality and accuracy of the model are the premise and key of the whole simulation process. Therefore, an accurate biosurfactant molecular configuration is crucial for the molecular simulation research of its adsorption and self-assembly properties.
发明内容Contents of the invention
针对生物表面活性剂的结构比化学表面活性剂复杂,化学表面活性剂常用的分子动力学优化方法已经不都适用于生物表面活性剂结构优化的问题,本发明提供了一种优化生物表面活性剂分子结构的模拟方法,该模拟方法用以准确地优化出分子模拟中生物表面活性剂分子的稳定构型,为生物表面活性剂吸附和自组装特性的分子模拟研究奠定良好的基础。Aiming at that the structure of biosurfactant is more complicated than that of chemical surfactant, the molecular dynamics optimization method commonly used for chemical surfactant is not applicable to the problem of structure optimization of biosurfactant. The present invention provides an optimized biosurfactant The simulation method of molecular structure, which is used to accurately optimize the stable configuration of biosurfactant molecules in molecular simulation, lays a good foundation for the molecular simulation research of biosurfactant adsorption and self-assembly characteristics.
其技术解决方案包括:Its technical solutions include:
一种优化生物表面活性剂分子结构的模拟方法,依次包括以下步骤:A simulation method for optimizing the molecular structure of a biosurfactant, comprising the following steps in sequence:
步骤一、构建初始模型,Step 1: Build an initial model,
利用MaterialsStudio软件中的Sketch工具构建待计算的生物表面活性剂分子作为基本的分子结构数据文件;Use the Sketch tool in the MaterialsStudio software to construct the biosurfactant molecule to be calculated as the basic molecular structure data file;
步骤二、对生物表面活性剂分子结构进行优化,Step 2, optimizing the molecular structure of the biosurfactant,
利用DMol3模块中的Calculation对步骤一中的结构数据文件进行能量最小化处理,得到经能量最小化处理后的分子结构数据文件;Use the Calculation in the DMol 3 module to carry out energy minimization processing on the structure data file in step 1, and obtain the molecular structure data file after energy minimization processing;
步骤三、判断生物表面活性剂稳定构型,Step 3, determine the stable configuration of the biosurfactant,
利用VibrationalAnalysis提取经能量最小化处理后分子结构数据文件的振动频率参数,若提取的振动频率参数均为正值,则经能量最小化处理后的分子结构即为生物表面活性剂的稳定构型;若振动频率参数有负值,则对负值对应的分子结构沿振动方向进行微调,重复步骤二后,再根据振动频率参数进行判断,直至其振动频率参数均为正值。Use VibrationalAnalysis to extract the vibration frequency parameters of the molecular structure data file after energy minimization processing. If the extracted vibration frequency parameters are all positive values, the molecular structure after energy minimization processing is the stable configuration of the biosurfactant; If the vibration frequency parameter has a negative value, fine-tune the molecular structure corresponding to the negative value along the vibration direction, repeat step 2, and then judge according to the vibration frequency parameter until the vibration frequency parameters are all positive values.
作为本发明的一个优选方案,所述生物表面活性剂为鼠李糖脂。As a preferred solution of the present invention, the biosurfactant is rhamnolipid.
本发明提供的优化方法与生物表面活性剂的分子力学优化方法相比具有明显优势:分子力学优化是在原子层面上根据分子各原子的相互作用而进行的优化过程,而本发明的优化方法是从电子层面上利用薛定谔方程对分子进行优化的过程,因此利用本发明方法优化出的生物表面活性剂分子构型具有更加精确、合理和稳定的特点,从而进一步确保生物表面活性剂性质模拟的结果具有准确性和可靠性。Compared with the molecular mechanics optimization method of biosurfactant, the optimization method provided by the present invention has obvious advantages: molecular mechanics optimization is an optimization process carried out according to the interaction of each atom of the molecule on the atomic level, and the optimization method of the present invention is The process of optimizing molecules using the Schrödinger equation from the electronic level, so the biosurfactant molecular configuration optimized by the method of the present invention has more accurate, reasonable and stable characteristics, thereby further ensuring the results of biosurfactant property simulation With accuracy and reliability.
附图说明Description of drawings
下面结合附图对本发明做进一步说明:The present invention will be further described below in conjunction with accompanying drawing:
图1为鼠李糖脂分子初始构型;Fig. 1 is the initial configuration of rhamnolipid molecule;
图2为采用本发明方法优化后的不稳定构型;Fig. 2 is the unstable configuration after adopting the method of the present invention to optimize;
图3为采用本发明方法优化后的稳定构型;Fig. 3 adopts the stable configuration after the method optimization of the present invention;
图4为鼠李糖脂气液界面模型;Fig. 4 is a rhamnolipid gas-liquid interface model;
图5为鼠李糖脂分子亲水疏水基团划分标准;其中鼠李糖环Ring、羧基COOH和酯基COO为亲水基团,碳链Line1和Line2为疏水基团;Figure 5 is the standard for dividing the hydrophilic and hydrophobic groups of rhamnolipid molecules; wherein the rhamnose ring Ring, carboxyl COOH and ester group COO are hydrophilic groups, and the carbon chains Line1 and Line2 are hydrophobic groups;
图6为采用本发明方法优化的鼠李糖脂亲水疏水基团界面密度曲线;Fig. 6 is the rhamnolipid hydrophilic-hydrophobic group interface density curve optimized by the method of the present invention;
图7为采用分子力学优化的鼠李糖脂亲水疏水基团界面密度曲线。Fig. 7 is the interface density curve of rhamnolipid hydrophilic and hydrophobic groups optimized by molecular mechanics.
具体实施方式detailed description
下面结合具体实施例和附图对本发明做详细说明。The present invention will be described in detail below in conjunction with specific embodiments and accompanying drawings.
实施例1:Example 1:
下面以生物表面活性剂鼠李糖脂分子结构的优化为例来进一步理解本发明的技术方案和优点。In the following, the optimization of the molecular structure of biosurfactant rhamnolipid is taken as an example to further understand the technical solutions and advantages of the present invention.
生物表面活性剂鼠李糖脂分子结构的模拟方法,具体包括以下步骤:The method for simulating the molecular structure of biosurfactant rhamnolipid specifically comprises the following steps:
1、初始模型构建1. Initial Model Construction
根据鼠李糖脂的相关实验和理论文献,得到鼠李糖脂的分子结构,利用MS软件的Sketch工具手动构建鼠李糖脂的分子结构作为基本的分子结构数据文件,鼠李糖脂初始构型见图1所示;According to the relevant experimental and theoretical literature of rhamnolipids, the molecular structure of rhamnolipids was obtained, and the molecular structure of rhamnolipids was manually constructed using the Sketch tool of MS software as the basic molecular structure data file. The initial structure of rhamnolipids The type is shown in Figure 1;
2、生物表面活性剂结构的优化2. Optimization of biosurfactant structure
确定结构优化的软件参数,优化生物表面活性剂结构时采用GeometryOptimization方法,精度选取Fine,计算步数为500步,采用密度泛函理论(DFT)进行分子结构优化过程:优化过程中分子的旋转设置为不受限制,采用广义梯度近似(GGA)和PBE密度泛函相结合的方法(GGA-PBE)计算电子交换相关能,对原子的所有电子采用全电子计算并采用双数值型基组加极化函数(DNP)展开;量化计算中能量、梯度、位移和自洽场(SCF)的收敛标准为1×10-5Hartree、和1×10-6Hartree,其中最大的自洽场循环次数为300次;Determine the software parameters for structure optimization, use the GeometryOptimization method when optimizing the structure of biosurfactants, select Fine as the precision, and calculate the number of steps as 500 steps, and use density functional theory (DFT) to optimize the molecular structure: the rotation setting of molecules during the optimization process In order not to be restricted, the method of combining generalized gradient approximation (GGA) and PBE density functional (GGA-PBE) is used to calculate the electron exchange correlation energy, and all electrons of the atom are calculated using the double-valued basis set addition. function (DNP) expansion; the convergence criteria of energy, gradient, displacement and self-consistent field (SCF) in quantitative calculations are 1×10 -5 Hartree, and 1×10 -6 Hartree, where the maximum number of self-consistent field cycles is 300;
3、生物表面活性剂稳定构型的判断3. Judgment of stable configuration of biosurfactant
利用VibrationalAnalysis提取经能量最小化处理后分子结构数据文件的振动频率参数。如果提取的振动频率参数均为正值,该经能量最小化处理后的分子结构即为生物表面活性剂的稳定构型;如果振动频率参数有负值,则对负值对应的分子结构沿振动方向进行微调,重复步骤2后,再根据振动频率参数进行判断,直至其振动频率参数均为正值。优化后振动频率仍有负值的鼠李糖脂不稳定构型见图2,鼠李糖脂的稳定构型见图3。图2中有箭头的鼠李糖脂右侧碳链即为负振动频率对应的分子结构,这说明该区域能量还未达到最小。沿振动方向进行微调后再次进行优化,得到图3所示鼠李糖脂的稳定构型。对比图2和图3可知,鼠李糖脂不稳定构型和稳定构型存在差异。Use VibrationalAnalysis to extract the vibration frequency parameters of the molecular structure data file after energy minimization processing. If the extracted vibration frequency parameters are all positive, the molecular structure after energy minimization is the stable configuration of the biosurfactant; if the vibration frequency parameters have negative values, the molecular structure corresponding to the negative value will vibrate along the Fine-tune the direction, repeat step 2, and then judge according to the vibration frequency parameters until the vibration frequency parameters are all positive values. The unstable configuration of rhamnolipid with negative vibration frequency after optimization is shown in Figure 2, and the stable configuration of rhamnolipid is shown in Figure 3. The carbon chain on the right side of the rhamnolipid with an arrow in Figure 2 is the molecular structure corresponding to the negative vibration frequency, which shows that the energy in this region has not yet reached the minimum. After fine-tuning along the vibration direction, optimization was performed again to obtain the stable configuration of the rhamnolipid shown in Figure 3. Comparing Figure 2 and Figure 3, it can be seen that there are differences between the unstable and stable configurations of rhamnolipids.
4、生物表面活性剂稳定构型的验证4. Verification of the stable configuration of biosurfactants
利用鼠李糖脂的稳定构型构建鼠李糖脂气液界面模型,对模型进行分子力学优化(DiscoverMinimizer),然后再对优化后的模型进行分子动力学模拟(DiscoverMolecularDynamics),提取鼠李糖脂亲水和疏水基团的密度曲线。鼠李糖脂气液界面模型见图4,鼠李糖脂分子亲水疏水基团划分标准件图5,经本发明方法优化后的鼠李糖脂亲水疏水基团界面密度曲线见图6。从图6中可以看出,鼠李糖脂中鼠李糖环、羧基和酯基(亲水基团)的密度曲线最高峰峰位在界面水层区域,碳链(疏水基团)的密度曲线最高峰峰位在气相区域,可以判断鼠李糖脂分子具有双亲性,进一步说明鼠李糖脂稳定构型的合理性。Using the stable configuration of rhamnolipids to build a rhamnolipid gas-liquid interface model, perform molecular mechanics optimization (DiscoverMinimizer) on the model, and then perform molecular dynamics simulation (DiscoverMolecularDynamics) on the optimized model to extract rhamnolipids Density curves of hydrophilic and hydrophobic groups. The rhamnolipid gas-liquid interface model is shown in Figure 4, the standard part of the rhamnolipid molecular hydrophilic and hydrophobic group division is shown in Figure 5, and the rhamnolipid hydrophilic and hydrophobic group interface density curve optimized by the method of the present invention is shown in Figure 6 . As can be seen from Figure 6, the highest peak position of the density curve of the rhamnose ring, carboxyl group and ester group (hydrophilic group) in the rhamnolipid is in the interfacial water layer region, and the density of the carbon chain (hydrophobic group) The highest peak of the curve is in the gas phase region, it can be judged that the rhamnolipid molecule has amphipathicity, which further illustrates the rationality of the stable configuration of the rhamnolipid.
对鼠李糖脂初始模型进行分子力学优化,以分子力学优化后的鼠李糖脂稳定构型构建鼠李糖脂气液界面,同样对模型进行分子力学优化和分子动力学模拟,提取鼠李糖脂亲水和疏水基团密度曲线。经分子力学优化后的鼠李糖脂亲水疏水基团界面密度曲线见图7。从图7中可以看出鼠李糖脂的酯基和羧基(亲水基团)密度曲线最高峰峰位处于气相,这说明经分子力学优化后的鼠李糖脂稳定构型存在不合理性。与经本发明方法优化的鼠李糖脂稳定构型对比说明本发明提供的优化方法更加精确。Molecular mechanics optimization was carried out on the initial model of rhamnolipid, and the gas-liquid interface of rhamnolipid was constructed with the stable configuration of rhamnolipid after molecular mechanics optimization. The model was also optimized by molecular mechanics and molecular dynamics simulation, and rhamnolipid was extracted Glycolipid hydrophilic and hydrophobic group density curves. The interface density curve of the rhamnolipid hydrophilic and hydrophobic groups after molecular mechanics optimization is shown in Figure 7. It can be seen from Figure 7 that the highest peak of the density curve of the ester group and carboxyl group (hydrophilic group) of the rhamnolipid is in the gas phase, which shows that the stable configuration of the rhamnolipid after molecular mechanics optimization is unreasonable . Compared with the rhamnolipid stable configuration optimized by the method of the present invention, it shows that the optimization method provided by the present invention is more accurate.
鼠李糖脂初始构型和气液界面模型分子力学优化参数:力场选用compass,范德华相互作用采用AtomBased方法计算,库伦相互作用采用Ewald方法计算,优化方法选用SmartMinimization,优化步数为5000步;气液界面模型分子动力学模拟参数:系综选取NVT,温度选取298K,模拟时间为4000ps,时间步长为1fs,每1000步输出一帧。The initial configuration of the rhamnolipid and the molecular mechanics optimization parameters of the gas-liquid interface model: Compass is used for the force field, the AtomBased method is used for the calculation of the Van der Waals interaction, the Ewald method is used for the calculation of the Coulomb interaction, and SmartMinimization is used for the optimization method, and the number of optimization steps is 5000 steps; Molecular dynamics simulation parameters of the liquid interface model: NVT is selected for the ensemble, 298K is selected for the temperature, the simulation time is 4000ps, the time step is 1fs, and one frame is output every 1000 steps.
需要说明的是,在上述鼠李糖脂(作为最具代表性的糖脂类生物表面活性剂)的基础上,本领域技术人员还可以用本发明方法来优化其它生物表面活性剂分子结构。It should be noted that, on the basis of the above-mentioned rhamnolipid (as the most representative glycolipid biosurfactant), those skilled in the art can also use the method of the present invention to optimize the molecular structure of other biosurfactants.
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