蛋白质中多个弯曲的表征。 - Suppr

Suppr

超能文献

Characterization of multiple bends in proteins.

作者信息

Isogai Y, Némethy G, Rackovsky S, Leach S J, Scheraga H A

出版信息

Biopolymers. 1980 Jun;19(6):1183-210. doi: 10.1002/bip.1980.360190607.

DOI:10.1002/bip.1980.360190607

PMID:7378550

Abstract

摘要

相似文献

Characterization of multiple bends in proteins.蛋白质中多个弯曲的表征。

Biopolymers. 1980 Jun;19(6):1183-210. doi: 10.1002/bip.1980.360190607.

[Time-resolved X-ray crystallography by Laue diffraction].[通过劳埃衍射进行的时间分辨X射线晶体学]

Tanpakushitsu Kakusan Koso. 2001 Aug;46(11 Suppl):1446-55.

Observation of time-resolved structural changes by linear interpolation of highly redundant X-ray diffraction data.通过对高度冗余的X射线衍射数据进行线性插值来观察时间分辨的结构变化。

Acta Crystallogr D Biol Crystallogr. 2004 Sep;60(Pt 9):1579-85. doi: 10.1107/S0907444904016786. Epub 2004 Aug 26.

Proteins at work: "stop-action" pictures at subzero temperatures.工作中的蛋白质：零下温度下的“定格”图片。

Adv Protein Chem. 1984;36:245-361.

[Use of X-ray diffraction for studying the temperature dependence of the Young modulus of protein crystals].[利用X射线衍射研究蛋白质晶体杨氏模量的温度依赖性]

Biofizika. 1998 May-Jun;43(3):412-5.

[Largest list of unique proteins structures obtained by x-ray diffraction of crystals].[通过晶体X射线衍射获得的最大独特蛋白质结构列表]

Mol Biol (Mosk). 2007 Jul-Aug;41(4):749-50.

Automated and accurate deposition of structures solved by X-ray diffraction to the Protein Data Bank.通过X射线衍射解析的结构自动且准确地存入蛋白质数据库。

Acta Crystallogr D Biol Crystallogr. 2004 Oct;60(Pt 10):1833-9. doi: 10.1107/S0907444904019419. Epub 2004 Sep 23.

High resolution imaging as a characterization tool for biological crystals.高分辨率成像作为生物晶体的表征工具。

Ann N Y Acad Sci. 2004 Nov;1027:48-55. doi: 10.1196/annals.1324.005.

[Small-angle X-ray scattering method].[小角X射线散射法]

Tanpakushitsu Kakusan Koso. 1994 May;39(7):1305-10.

More rapid evaluation of biomacromolecular crystals for diffraction experiments.用于衍射实验的生物大分子晶体的更快速评估。

Acta Crystallogr D Biol Crystallogr. 2004 Jun;60(Pt 6):1032-9. doi: 10.1107/S0907444904006559. Epub 2004 May 21.

引用本文的文献

ExploreTurns: A web tool for the exploration, analysis, and classification of beta turns and structured loops in proteins; application to beta-bulge and Schellman loops, Asx helix caps, beta hairpins, and other hydrogen-bonded motifs.ExploreTurns：一种用于探索、分析和分类蛋白质中β转角和结构化环的网络工具；应用于β凸起和Schellman环、Asx螺旋帽、β发夹以及其他氢键基序。

Protein Sci. 2025 Mar;34(3):e70046. doi: 10.1002/pro.70046.

Geometric descriptors for beta turns.β 转角的几何描述符。

Protein Sci. 2024 Sep;33(9):e5159. doi: 10.1002/pro.5159.

Intrinsically disordered regions that drive phase separation form a robustly distinct protein class.内在无序区域驱动相分离形成了一个截然不同的蛋白质类别。

J Biol Chem. 2023 Jan;299(1):102801. doi: 10.1016/j.jbc.2022.102801. Epub 2022 Dec 14.

A protein structural study based on the centrality analysis of protein sequence feature networks.基于蛋白质序列特征网络中心性分析的蛋白质结构研究。

PLoS One. 2021 Mar 29;16(3):e0248861. doi: 10.1371/journal.pone.0248861. eCollection 2021.

ACPred: A Computational Tool for the Prediction and Analysis of Anticancer Peptides.ACPred：一种用于抗癌肽预测和分析的计算工具。

Molecules. 2019 May 22;24(10):1973. doi: 10.3390/molecules24101973.

mRNA/protein sequence complementarity and its determinants: The impact of affinity scales.信使核糖核酸/蛋白质序列互补性及其决定因素：亲和力尺度的影响

PLoS Comput Biol. 2017 Jul 27;13(7):e1005648. doi: 10.1371/journal.pcbi.1005648. eCollection 2017 Jul.

A Concentration-Dependent Liquid Phase Separation Can Cause Toxicity upon Increased Protein Expression.浓度依赖性液相分离在蛋白质表达增加时可导致毒性。

Cell Rep. 2016 Jun 28;16(1):222-231. doi: 10.1016/j.celrep.2016.05.076. Epub 2016 Jun 16.

Accurate prediction of RNA-binding protein residues with two discriminative structural descriptors.利用两种判别性结构描述符准确预测RNA结合蛋白残基

BMC Bioinformatics. 2016 Jun 7;17(1):231. doi: 10.1186/s12859-016-1110-x.

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

Angew Chem Int Ed Engl. 2015 Jul 27;54(31):8896-927. doi: 10.1002/anie.201412070. Epub 2015 Jun 26.

The cleverSuite approach for protein characterization: predictions of structural properties, solubility, chaperone requirements and RNA-binding abilities.cleverSuite 方法用于蛋白质特性分析：结构特性、可溶性、分子伴侣需求和 RNA 结合能力的预测。

Bioinformatics. 2014 Jun 1;30(11):1601-8. doi: 10.1093/bioinformatics/btu074. Epub 2014 Feb 3.

文献AI研究员

20分钟写一篇综述，助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型，支持多种主流文档格式。

立即体验