Suppr超能文献

揭示后生动物生物活性肽中的保守模式。

Uncovering conserved patterns in bioactive peptides in Metazoa.

作者信息

Liu Feng, Baggerman Geert, Schoofs Liliane, Wets Geert

机构信息

Data Analysis & Modeling Group, Transportation Research Institute, Hasselt University, Building D, 3590 Diepenbeek, Belgium.

出版信息

Peptides. 2006 Dec;27(12):3137-53. doi: 10.1016/j.peptides.2006.08.021. Epub 2006 Oct 16.

Abstract

Bioactive (neuro)peptides play critical roles in regulating most biological processes in animals. Peptides belonging to the same family are characterized by a typical sequence pattern that is conserved among the family's peptide members. Such a conserved pattern or motif usually corresponds to the functionally important part of the biologically active peptide. In this paper, all known bioactive (neuro)peptides annotated in Swiss-Prot and TrEMBL protein databases are collected, and the pattern searching program Pratt is used to search these unaligned peptide sequences for conserved patterns. The obtained patterns are then refined by combining the information on amino acids at important functional sites collected from the literature. All the identified patterns are further tested by scanning them against Swiss-Prot and TrEMBL protein databases. The diagnostic power of each pattern is validated by the fact that any annotated protein from Swiss-Prot and TrEMBL that contains one of the established patterns, is indeed a known (neuro)peptide precursor. We discovered 155 novel peptide patterns in addition to the 56 established ones in the PROSITE database. All the patterns cover 110 peptide families. Fifty-five of these families are not characterized by the PROSITE signatures, and 12 are also not identified by other existing motif databases, such as Pfam and SMART. Using the newly identified peptide signatures as a search tool, we predicted 95 hypothetical proteins as putative peptide precursors.

摘要

生物活性(神经)肽在调节动物的大多数生物过程中起着关键作用。属于同一家族的肽具有典型的序列模式,该模式在家族肽成员中是保守的。这种保守模式或基序通常对应于生物活性肽的功能重要部分。在本文中,收集了Swiss-Prot和TrEMBL蛋白质数据库中注释的所有已知生物活性(神经)肽,并使用模式搜索程序Pratt在这些未比对的肽序列中搜索保守模式。然后,通过结合从文献中收集的重要功能位点的氨基酸信息来完善获得的模式。通过在Swiss-Prot和TrEMBL蛋白质数据库中扫描所有已识别的模式来进行进一步测试。每个模式的诊断能力通过以下事实得到验证:Swiss-Prot和TrEMBL中任何包含已确定模式之一的注释蛋白质确实是已知的(神经)肽前体。除了PROSITE数据库中已有的56个模式外,我们还发现了155个新的肽模式。所有这些模式涵盖了110个肽家族。其中55个家族没有PROSITE签名的特征,12个家族也未被其他现有的基序数据库(如Pfam和SMART)识别。使用新识别的肽特征作为搜索工具,我们预测了95个假设蛋白质作为推定的肽前体。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验