首页> 美国卫生研究院文献>Biophysical Journal >A Tree-Based Algorithm for Determining the Effects of Solvation on the Structure of Salivary Gland Tripeptide NH3+-D-PHE-D-GLU-GLY-COO−
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A Tree-Based Algorithm for Determining the Effects of Solvation on the Structure of Salivary Gland Tripeptide NH3+-D-PHE-D-GLU-GLY-COO−

机译:确定溶剂化对唾液腺三肽NH3 + -D-PHE-D-GLU-GLY-COO-结构的影响的基于树的算法

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摘要

A D-enantiomeric analog of the submandibular gland rat-1 tripeptide FEG (Seq: NH3+-Phe-Glu-Gly-COO) called feG (Seq: NH3+-D-Phe-D-Glu-Gly-COO) was examined by molecular dynamics simulations in water. Previous in vacuo simulations suggested a conformation consisting predominantly of interactions between the Phe side chain and glutamyl-carboxyl group and a carboxyl/amino termini interaction. The solvated peptide was simulated using two approaches which were compared—a single 400-ns simulation and a “simulation tree.” The “tree” approach utilized 45 10-ns simulations with different conformations used as initial structures for given trajectories. We demonstrate that multiple short duration simulations are able to describe the same conformational space as that described by longer simulations. Furthermore, previously described in vacuo interactions were confirmed with amendments: the previously described head-to-tail arrangement of the amino and carboxyl termini, was not observed; the interaction between the glutamyl carboxyl and Phe side chain describes only one of a continuum of conformations present wherein the aromatic residue remains in close proximity to the glutamyl carbonyl group, and also interacts with either of the two available carboxyl groups. Finally, utilizing only two separate 10-ns trajectories, we were able to better describe the conformational space than a single 60-ns trajectory, realizing a threefold decrease in the computational complexity of the problem.
机译:下颌下腺大鼠1三肽FEG的D对映体类似物(Seq:NH3 + -Phe-Glu-Gly-COO -)称为feG(Seq:NH3 <通过水中的分子动力学模拟检查了sup> + -D-Phe-D-Glu-Gly-COO -)。先前的真空模拟表明,该构象主要由Phe侧链和谷氨酰基-羧基之间的相互作用以及羧基/氨基末端相互作用组成。使用比较的两种方法模拟了溶剂化的肽-单个400 ns模拟和“模拟树”。 “树”方法利用了45种10 ns的模拟,这些模拟具有不同的构型,用作给定轨迹的初始结构。我们证明了多个短时模拟能够描述与较长模拟所描述的相同的构象空间。此外,通过修正证实了先前在真空相互作用中描述的:未观察到氨基和羧基末端的头到尾排列;谷氨酰胺基羧基和Phe侧链之间的相互作用仅描述存在的连续构象之一,其中芳族残基保持紧密靠近谷氨酰胺基羰基,并且还与两个可用羧基中的任一个相互作用。最后,仅利用两个单独的10 ns轨迹,我们能够比单个60 ns轨迹更好地描述构象空间,从而使问题的计算复杂度降低了三倍。

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