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首页> 外文期刊>The journal of physical chemistry, B. Condensed matter, materials, surfaces, interfaces & biophysical >Optimization of the UNRES force field by hierarchical design of the potential-energy landscape. 2. Off-lattice tests of the method with single proteins
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Optimization of the UNRES force field by hierarchical design of the potential-energy landscape. 2. Off-lattice tests of the method with single proteins

机译:通过势能图的分层设计优化UNRES力场。 2.单一蛋白质方法的非晶格测试

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We describe the application of our recently proposed method of hierarchical optimization of the protein energy landscape to optimize our off-lattice united-residue (UNRES) force field using single training proteins. First, the IgG-binding domain from streptococcal protein G (PDB code 1IGD) was treated; earlier attempts to use this protein to optimize the force field by optimizing the energy gap and Z score between the nativelike and non-native structures failed. The structure of this protein consists of an N-terminal antiparallel beta-hairpin, a middle alpha-helix, and a C-terminal antiparallel beta-hairpin, these elements being referred to as beta(1), alpha(2), and beta(3), respectively, with the two hairpins forming a parallel beta-sheet packed against the alpha-helix. In our earlier study, one of these elements was assumed to form at level 1, two at level 2, and three at level 3, and higher levels corresponded to the proper packing of two or more elements. This approach resulted in a structure with the wrong packing of the beta-sheet, and attempts at further optimization failed. We therefore tried a hierarchy scheme that corresponds to the sequence of folding events deduced from NMR experiments. In this scheme, level 1 corresponds to structures with either beta or alpha(2), level 2 to structures with both beta(3) and alpha(2), level 3 to structures with beta(3), alpha(2), and the N-terminal strand packed against alpha(2) (with beta(1) still not fully formed), and level 4 to structures with beta(1), alpha(2), and beta(3), with beta(3) being packed to beta(1) which also implies the packing of beta(1) and beta(3) against alpha(2). This optimization was successful and resulted in a reasonably transferable force field that led to well-foldable proteins. This corroborates the conclusion from our model on-lattice studies (Liwo, A.; Arlukowicz, P.; Oldziej, S.; Czaplewski, C.; Makowski, M.; Scheraga, H. A. J. Phys. Chem. B 2004, 108, 16918) that a proper design of the structural hierarchy is of crucial importance to the foldability with the resulting potential-energy function. Moreover, in the off-lattice approach, the design of the hierarchy also appears to be important to the success of the optimization procedure itself. The next series of calculations was carried out with the LysM domain from the E. coli 1E0G (alpha + beta) protein, which is smaller than 1IGD. In this case, no experimental information about the folding pathway is available; nevertheless, we were able to deduce the appropriate hierarchy by a trial-and-error method. The resulting force field performed worse in tests on alpha + beta- and beta-proteins than that derived on the basis of 1IGD with a correct hierarchy, which suggests that the structure of the 1IGD protein encodes more structure-determining interactions common to all proteins than the IE0G protein does. For 1E0G, we also attempted to carry out a single energy gap and Z-score optimization; this effort resulted in an unsearchable force field. (The nativelike structures could not be found by a global search, although they were the lowest in energy). Technical details of the method, including the maintenance of proper secondary structure and a method to classify structure, are also described.
机译:我们描述了我们最近提出的蛋白质能量分布图的层次优化方法的应用,以使用单个训练蛋白质来优化我们的非晶格残余物力场(UNRES)。首先,处理来自链球菌蛋白G(PDB代码1IGD)的IgG结合结构域;早期尝试使用该蛋白质通过优化天然结构和非天然结构之间的能隙和Z分数来优化力场的尝试失败了。该蛋白的结构由N端反平行的β-发夹,中间的α-螺旋和C端反平行的β-发夹组成,这些元件称为beta(1),alpha(2)和beta (3)分别用两个发夹形成一个平行的β-折叠,紧靠α-螺旋。在我们较早的研究中,假设这些元素之一在1级形成,两个在2级形成,三个在3级形成,更高的级别对应于两个或多个元素的正确包装。这种方法导致结构具有错误的β-折叠包装,并且尝试进一步优化失败。因此,我们尝试了一种层次结构方案,该方案对应于从NMR实验推导的折叠事件的顺序。在此方案中,级别1对应于具有beta或alpha(2)的结构,级别2对应于具有beta(3)和alpha(2)的结构,级别3对应于具有beta(3),alpha(2)和N端链相对于alpha(2)(仍然没有完全形成beta(1))和4(具有beta(1),alpha(2)和beta(3)以及beta(3)的结构)被打包为beta(1),这也意味着将beta(1)和beta(3)打包为alpha(2)。这种优化是成功的,并产生了可合理转移的力场,从而产生了可折叠的蛋白质。这证实了我们的模型格子研究的结论(Liwo,A .; Arlukowicz,P .; Oldziej,S .; Czaplewski,C .; Makowski,M .; Scheraga,HAJ Phys.Chem.B 2004,108,16918 )结构层次的正确设计对于可折叠性以及由此产生的势能功能至关重要。此外,在非格方法中,层次结构的设计对于优化过程本身的成功似乎也很重要。接下来的一系列计算是使用来自大肠杆菌1E0G(α+β)蛋白的LysM域进行的,该域小于1IGD。在这种情况下,没有有关折叠途径的实验信息;尽管如此,我们仍然可以通过试错法来推论出适当的层次结构。在α+β-和β-蛋白质的测试中,所产生的力场比基于具有正确等级的1IGD衍生的力场更差,这表明1IGD蛋白质的结构比所有蛋白质所编码的结构决定性相互作用要强得多IE0G蛋白可以。对于1E0G,我们还尝试进行单个能隙和Z分数优化;这种努力导致了无法搜寻的力场。 (尽管它们的能量最低,但无法通过全局搜索找到类似自然的结构)。还介绍了该方法的技术细节,包括维护适当的二级结构和对结构进行分类的方法。

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