Stoichiometry versus hydrophobicity in protein folding.

Suppr

超能文献

作者信息

Matthews Brian W

机构信息

Department of Physics, Institute of Molecular Biology, 1229 University of Oregon, Eugene, OR 97403-1229, USA.

出版信息

J Biomol Struct Dyn. 2011 Feb;28(4):589-91; discussion 669-674. doi: 10.1080/073911011010524956.

DOI:10.1080/073911011010524956

PMID:21142227

Abstract

摘要

相似文献

Stoichiometry versus hydrophobicity in protein folding.

J Biomol Struct Dyn. 2011 Feb;28(4):589-91; discussion 669-674. doi: 10.1080/073911011010524956.

Stoichiometry-driven protein folding: a comment.化学计量驱动的蛋白质折叠：一则评论

J Biomol Struct Dyn. 2011 Feb;28(4):643-4; discussion 669-674. doi: 10.1080/073911011010524974.

Cunning simplicity of a stoichiometry driven protein folding thesis.由化学计量驱动的蛋白质折叠理论的巧妙简洁性。

J Biomol Struct Dyn. 2011 Feb;28(4):595-8; discussion 669-674. doi: 10.1080/073911011010524958.

Short-range contact preferences and long-range indifference: is protein folding stoichiometry driven?

J Biomol Struct Dyn. 2011 Feb;28(4):603-5; discussion 669-674. doi: 10.1080/073911011010524960.

Stoichiometry of amino acids drives protein folding?

J Biomol Struct Dyn. 2011 Feb;28(4):635-6; discussion 669-674. doi: 10.1080/073911011010524970.

"Chargaff's rules" for protein folding: stoichiometric leitmotif made visible.蛋白质折叠的“查加夫规则”：化学计量基序得以显现。

J Biomol Struct Dyn. 2011 Feb;28(4):649-52; discussion 669-674. doi: 10.1080/073911011010524977.

Does stoichiometry drive protein folding?

J Biomol Struct Dyn. 2011 Feb;28(4):655-6; discussion 669-674. doi: 10.1080/073911011010524979.

Discriminatory power of stoichiometry-driven protein folding?

J Biomol Struct Dyn. 2011 Feb;28(4):625-6; discussion 669-674. doi: 10.1080/073911011010524966.

Is stoichiometry a new metric for evaluating folded proteins?

J Biomol Struct Dyn. 2011 Feb;28(4):641-2; discussion 669-674. doi: 10.1080/073911011010524973.

Is the folding topology of a protein related to its amino acid occurrence?蛋白质的折叠拓扑结构与其氨基酸出现情况有关吗？

J Biomol Struct Dyn. 2011 Feb;28(4):657-9; discussion 669-674. doi: 10.1080/073911011010524980.

引用本文的文献

Predicting CK2 beta-dependent substrates using linear patterns.使用线性模式预测CK2β依赖性底物。

Biochem Biophys Rep. 2015 Aug 20;4:20-27. doi: 10.1016/j.bbrep.2015.08.011. eCollection 2015 Dec.

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

相似文献

Stoichiometry versus hydrophobicity in protein folding.

J Biomol Struct Dyn. 2011 Feb;28(4):589-91; discussion 669-674. doi: 10.1080/073911011010524956.

Stoichiometry-driven protein folding: a comment.化学计量驱动的蛋白质折叠：一则评论

J Biomol Struct Dyn. 2011 Feb;28(4):643-4; discussion 669-674. doi: 10.1080/073911011010524974.

Cunning simplicity of a stoichiometry driven protein folding thesis.由化学计量驱动的蛋白质折叠理论的巧妙简洁性。

J Biomol Struct Dyn. 2011 Feb;28(4):595-8; discussion 669-674. doi: 10.1080/073911011010524958.

Short-range contact preferences and long-range indifference: is protein folding stoichiometry driven?

J Biomol Struct Dyn. 2011 Feb;28(4):603-5; discussion 669-674. doi: 10.1080/073911011010524960.

Stoichiometry of amino acids drives protein folding?

J Biomol Struct Dyn. 2011 Feb;28(4):635-6; discussion 669-674. doi: 10.1080/073911011010524970.

"Chargaff's rules" for protein folding: stoichiometric leitmotif made visible.蛋白质折叠的“查加夫规则”：化学计量基序得以显现。

J Biomol Struct Dyn. 2011 Feb;28(4):649-52; discussion 669-674. doi: 10.1080/073911011010524977.

Does stoichiometry drive protein folding?

J Biomol Struct Dyn. 2011 Feb;28(4):655-6; discussion 669-674. doi: 10.1080/073911011010524979.

Discriminatory power of stoichiometry-driven protein folding?

J Biomol Struct Dyn. 2011 Feb;28(4):625-6; discussion 669-674. doi: 10.1080/073911011010524966.

Is stoichiometry a new metric for evaluating folded proteins?

J Biomol Struct Dyn. 2011 Feb;28(4):641-2; discussion 669-674. doi: 10.1080/073911011010524973.

Is the folding topology of a protein related to its amino acid occurrence?蛋白质的折叠拓扑结构与其氨基酸出现情况有关吗？

J Biomol Struct Dyn. 2011 Feb;28(4):657-9; discussion 669-674. doi: 10.1080/073911011010524980.

引用本文的文献

Predicting CK2 beta-dependent substrates using linear patterns.使用线性模式预测CK2β依赖性底物。

Biochem Biophys Rep. 2015 Aug 20;4:20-27. doi: 10.1016/j.bbrep.2015.08.011. eCollection 2015 Dec.