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蛋白质中γβ、βγ、γγ、ββ多转角的分析。

Analysis of gammabeta, betagamma, gammagamma, betabeta multiple turns in proteins.

作者信息

Guruprasad K, Prasad M S, Kumar G R

机构信息

Centre for DNA Fingerprinting and Diagnostics, Nacharam, Hyderabad, India.

出版信息

J Pept Res. 2000 Oct;56(4):250-63. doi: 10.1034/j.1399-3011.2000.00739.x.

DOI:10.1034/j.1399-3011.2000.00739.x
PMID:11083064
Abstract

The number of gamma-turns in a representative protein dataset selected from the current Protein Data Bank has increased almost seven times during the past decade. Eighty percent classic gamma-turns and 57% inverse gamma-turns are associated as multiple turns with either another y-turn or a beta-turn. We refer to these as multiple turns of the (gammabeta)1,2,3 or (betagamma)1,2,3 type, depending upon whether the gamma-turn is before or after the beta-turn along the protein chain, respectively. However, for multiple turns involving only gamma-turns, we follow the nomenclature analogous to that proposed earlier for the multiple (or double) beta-turns. Fifty-eight per cent beta-turns are associated as multiple turns with another beta-turn. We extracted multiple turns from the protein dataset and classified them on the basis of individual gamma- or beta-turn types and the number of overlapping residues. Furthermore, we evaluated the amino acid positional potentials and determined the statistically significant amino acid preferences, hydrogen bond/side-chain interaction preferences in the multiple turns and secondary structure preferences for residues immediately flanking these turns. The results of our analysis would be useful in the modeling, prediction or design of multiple turns in proteins. The amino acid sequence corresponding to the multiple turn, position in the protein chain, PDB Code/chain in which multiple turn is present and the individual turn types constituting the multiple turns are available from our website and this information would also be integrated in our Database of Structural Motifs in Proteins (http://www.cdfd.org.in/dsmp.html).

摘要

在过去十年中,从当前蛋白质数据库中选取的代表性蛋白质数据集中,γ-转角的数量几乎增加了七倍。80%的经典γ-转角和57%的反向γ-转角与另一个γ-转角或β-转角相连形成多个转角。根据γ-转角在蛋白质链上相对于β-转角是在其之前还是之后,我们将这些称为(γβ)1,2,3型或(βγ)1,2,3型的多个转角。然而,对于仅涉及γ-转角的多个转角,我们采用类似于先前为多个(或双重)β-转角所提出的命名法。58%的β-转角与另一个β-转角相连形成多个转角。我们从蛋白质数据集中提取了多个转角,并根据单个γ-转角或β-转角的类型以及重叠残基的数量对它们进行分类。此外,我们评估了氨基酸位置势,并确定了多个转角中具有统计学意义的氨基酸偏好、氢键/侧链相互作用偏好以及这些转角紧邻残基的二级结构偏好。我们的分析结果将有助于蛋白质中多个转角的建模、预测或设计。与多个转角对应的氨基酸序列、在蛋白质链中的位置、存在多个转角的PDB代码/链以及构成多个转角的单个转角类型可在我们的网站上获取,并且这些信息也将整合到我们的蛋白质结构基序数据库(http://www.cdfd.org.in/dsmp.html)中。

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Extension of the classical classification of β-turns.β-转角的经典分类的扩展。
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Structure-Based Design of Inhibitors of Protein-Protein Interactions: Mimicking Peptide Binding Epitopes.基于结构的蛋白质-蛋白质相互作用抑制剂设计:模拟肽结合表位
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