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iLIR:一个用于预测Atg8家族相互作用蛋白的网络资源。

iLIR: A web resource for prediction of Atg8-family interacting proteins.

作者信息

Kalvari Ioanna, Tsompanis Stelios, Mulakkal Nitha C, Osgood Richard, Johansen Terje, Nezis Ioannis P, Promponas Vasilis J

机构信息

Bioinformatics Research Laboratory; Department of Biological Sciences; University of Cyprus; Nicosia, Cyprus.

Bioinformatics Research Laboratory; Department of Biological Sciences; University of Cyprus; Nicosia, Cyprus; Student in International Erasmus Exchange Programme (2012-2013).

出版信息

Autophagy. 2014 May;10(5):913-25. doi: 10.4161/auto.28260. Epub 2014 Feb 26.

Abstract

Macroautophagy was initially considered to be a nonselective process for bulk breakdown of cytosolic material. However, recent evidence points toward a selective mode of autophagy mediated by the so-called selective autophagy receptors (SARs). SARs act by recognizing and sorting diverse cargo substrates (e.g., proteins, organelles, pathogens) to the autophagic machinery. Known SARs are characterized by a short linear sequence motif (LIR-, LRS-, or AIM-motif) responsible for the interaction between SARs and proteins of the Atg8 family. Interestingly, many LIR-containing proteins (LIRCPs) are also involved in autophagosome formation and maturation and a few of them in regulating signaling pathways. Despite recent research efforts to experimentally identify LIRCPs, only a few dozen of this class of-often unrelated-proteins have been characterized so far using tedious cell biological, biochemical, and crystallographic approaches. The availability of an ever-increasing number of complete eukaryotic genomes provides a grand challenge for characterizing novel LIRCPs throughout the eukaryotes. Along these lines, we developed iLIR, a freely available web resource, which provides in silico tools for assisting the identification of novel LIRCPs. Given an amino acid sequence as input, iLIR searches for instances of short sequences compliant with a refined sensitive regular expression pattern of the extended LIR motif (xLIR-motif) and retrieves characterized protein domains from the SMART database for the query. Additionally, iLIR scores xLIRs against a custom position-specific scoring matrix (PSSM) and identifies potentially disordered subsequences with protein interaction potential overlapping with detected xLIR-motifs. Here we demonstrate that proteins satisfying these criteria make good LIRCP candidates for further experimental verification. Domain architecture is displayed in an informative graphic, and detailed results are also available in tabular form. We anticipate that iLIR will assist with elucidating the full complement of LIRCPs in eukaryotes.

摘要

巨自噬最初被认为是一种对胞质物质进行大量分解的非选择性过程。然而,最近的证据表明存在一种由所谓的选择性自噬受体(SARs)介导的选择性自噬模式。SARs通过识别并将各种货物底物(如蛋白质、细胞器、病原体)分类到自噬机制中发挥作用。已知的SARs的特征是具有一个短线性序列基序(LIR基序、LRS基序或AIM基序),该基序负责SARs与Atg8家族蛋白质之间的相互作用。有趣的是,许多含LIR的蛋白质(LIRCPs)也参与自噬体的形成和成熟,其中一些还参与调节信号通路。尽管最近进行了大量实验研究以鉴定LIRCPs,但到目前为止,使用繁琐的细胞生物学、生物化学和晶体学方法仅鉴定出了几十种这类通常不相关的蛋白质。越来越多完整的真核生物基因组的出现为鉴定整个真核生物中的新型LIRCPs带来了巨大挑战。为此,我们开发了iLIR,这是一个免费的网络资源,它提供了用于辅助鉴定新型LIRCPs的计算机工具。以氨基酸序列作为输入,iLIR搜索符合扩展LIR基序(xLIR基序)的精细敏感正则表达式模式的短序列实例,并从SMART数据库中检索查询的特征化蛋白质结构域。此外,iLIR根据自定义的位置特异性评分矩阵(PSSM)对xLIR进行评分,并识别出与检测到的xLIR基序重叠且具有蛋白质相互作用潜力的潜在无序子序列。在这里,我们证明满足这些标准的蛋白质是进一步实验验证的良好LIRCP候选物。结构域结构以信息丰富的图形显示,详细结果也以表格形式提供。我们预计iLIR将有助于阐明真核生物中LIRCPs的完整组成。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2da3/5119064/153ddebf06c6/kaup-10-05-10928260-g001.jpg

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