The resonant recognition model (RRM) predicts amino acid residues in highly conserved regions of the hormone prolactin (PRL).

Hejase de-Trad-C; Fang Q; Cosic I

首页> 外文期刊>Biophysical Chemistry: An International Journal Devoted to the Physical Chemistry of Biological Phenomena >The resonant recognition model (RRM) predicts amino acid residues in highly conserved regions of the hormone prolactin (PRL).

【24h】

The resonant recognition model (RRM) predicts amino acid residues in highly conserved regions of the hormone prolactin (PRL).

机译：共振识别模型（RRM）预测激素催乳激素（PRL）高度保守区域的氨基酸残基。

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

The resonant recognition model (RRM) is a model which treats the protein sequence as a discrete signal. It has been shown previously that certain periodicities (frequencies) in this signal characterise protein biological function. The RRM was employed to determine the characteristic frequencies of the hormone prolactin (PRL), and to identify amino acids ('hot spots') mostly contributing to these frequencies and thus proposed to mostly contribute to the biological function. The predicted 'hot spot' amino acids, Phe-19, Ser-26, Ser-33, Phe-37, Phe-40, Gly-47, Gly-49, Phe-50, Ser-61, Gly-129, Arg-176, Arg-177, Cys-191 and Arg-192 are found in the highly conserved amino-terminal and C-terminus regions of PRL. Our predictions agree with previous experimentally tested residues by site-direct mutagenesis and photoaffinity labelling.

机译：共振识别模型（RRM）是将蛋白质序列视为离散信号的模型。先前已经表明，该信号中的某些周期性（频率）表征了蛋白质的生物学功能。 RRM用于确定激素催乳激素（PRL）的特征频率，并鉴定主要对这些频率有贡献的氨基酸（“热点”），因此建议对生物功能起主要作用。预测的``热点''氨基酸Phe-19，Ser-26，Ser-33，Phe-37，Phe-40，Gly-47，Gly-49，Phe-50，Ser-61，Gly-129，Arg在PRL的高度保守的氨基末端和C末端区域发现了-176，Arg-177，Cys-191和Arg-192。我们的预测与先前通过定点诱变和光亲和标记进行过实验测试的残基一致。

著录项

来源
《Biophysical Chemistry: An International Journal Devoted to the Physical Chemistry of Biological Phenomena》 |2000年第2期|共9页
作者
Hejase de-Trad-C; Fang Q; Cosic I;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类生物化学;生物物理学;
关键词
Amino Acids; Prolactin; Protein Precursors; 氨基酸类; 催乳素;

机译：Amino Acids;Prolactin;Protein Precursors;氨基酸类;催乳素;

相似文献

外文文献
中文文献
专利

1. The resonant recognition model (RRM) predicts amino acid residues in highly conserved regions of the hormone prolactin (PRL). [J] . Hejase de-Trad-C, Fang Q, Cosic I Biophysical Chemistry: An International Journal Devoted to the Physical Chemistry of Biological Phenomena . 2000,第2期

机译：共振识别模型（RRM）预测激素催乳激素（PRL）高度保守区域的氨基酸残基。
2. Grouping of amino acids and recognition of protein structurally conserved regions by reduced alphabets of amino acids [J] . LIJing, WANG Wei Science in China, Series C. Life science . 2007,第3期

机译：氨基酸分组和通过减少的氨基酸字母识别蛋白质结构保守区域
3. Conserved amino acid residues found in a predicted cytosolic domain of the lipopolysaccharide biosynthetic protein WecA are implicated in the recognition of UDP-N-acetylglucosamine [J] . Amal O. Amer, Miguel A. Valvano Microbiology . 2001,第11期

机译：在脂多糖生物合成蛋白WECA的预测细胞溶胶结构域中发现的保守氨基酸残基涉及UDP-N-乙酰葡糖胺的识别
4. AMINO ACID RESIDUES IN CONSERVED REGION II INVOLVED IN SPECIFIC FUNCTION OF EUROPEAN HONEYBEE (APIS MELLIFERA) α-GLUCOSIDASE ISOZYMES [C] . Ngiwsara L., Iwai G., Mori H. International Carbohydrate Symposium . 2013

机译：保守区II中的氨基酸残基涉及欧洲蜜蜂（API Mellifera）α-葡糖苷酶同工酶的特定功能
5. Enzyme Function Assignment in Metabolic Pathways and Interacting Partner Prediction in Two Component Signaling Systems Using Conserved and Co-varying Amino Acid Residues. [D] . Choi, Kwangmin. 2010

机译：代谢途径中的酶功能分配和两个组分信号系统中使用保守和同变氨基酸残基的相互作用伙伴预测。
6. Conserved Acidic Amino Acid Residues in a Second RNA Recognition Motif Regulate Assembly and Function of TDP-43 [O] . Akemi Shodai, Akemi Ido, Noriko Fujiwara, 2009

机译：第二个RNA识别基序中的保守酸性氨基酸残基调节TDP-43的组装和功能。
7. Mutation of a highly conserved acidic residue present in the second intracellular loop of G-protein-coupled receptors does not impair hormone binding or signal transduction of the luteinizing hormone/chorionic gonadotropin receptor. [O] . Z Wang, H Wang, M Ascoli 1993

机译：存在于G蛋白偶联受体的第二个细胞内环中的高度保守的酸性残基的突变不损害叶氏素激素/绒毛膜促性腺激素受体的激素结合或信号转导。
8. Development of New Computational Amino Acid Parameters for Protein Structure/Function Analysis Within the Resonant Recognition Model. [R] . Pirogova, E., Cosic, I. 2001

机译：共振识别模型中蛋白质结构/功能分析的新计算氨基酸参数的开发。

The resonant recognition model (RRM) predicts amino acid residues in highly conserved regions of the hormone prolactin (PRL).

摘要

著录项

相似文献

相关主题

期刊订阅