Conway Institute of Biomolecular & Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland.
UCD School of Medicine & Medical Science, University College Dublin, Belfield, Dublin 4, Ireland.
Nucleic Acids Res. 2018 Jul 2;46(W1):W235-W241. doi: 10.1093/nar/gky426.
There is a pressing need for in silico tools that can aid in the identification of the complete repertoire of protein binding (SLiMs, MoRFs, miniMotifs) and modification (moiety attachment/removal, isomerization, cleavage) motifs. We have created PSSMSearch, an interactive web-based tool for rapid statistical modeling, visualization, discovery and annotation of protein motif specificity determinants to discover novel motifs in a proteome-wide manner. PSSMSearch analyses proteomes for regions with significant similarity to a motif specificity determinant model built from a set of aligned motif-containing peptides. Multiple scoring methods are available to build a position-specific scoring matrix (PSSM) describing the motif specificity determinant model. This model can then be modified by a user to add prior knowledge of specificity determinants through an interactive PSSM heatmap. PSSMSearch includes a statistical framework to calculate the significance of specificity determinant model matches against a proteome of interest. PSSMSearch also includes the SLiMSearch framework's annotation, motif functional analysis and filtering tools to highlight relevant discriminatory information. Additional tools to annotate statistically significant shared keywords and GO terms, or experimental evidence of interaction with a motif-recognizing protein have been added. Finally, PSSM-based conservation metrics have been created for taxonomic range analyses. The PSSMSearch web server is available at http://slim.ucd.ie/pssmsearch/.
目前迫切需要能够辅助识别完整蛋白质结合(短线性基序、无结构模体、微型模体)和修饰(部分附加/去除、异构化、切割)基序的计算工具。我们创建了 PSSMSearch,这是一个交互式网络工具,用于快速进行蛋白质基序特异性决定因素的统计建模、可视化、发现和注释,以便在全蛋白质组范围内发现新的基序。PSSMSearch 分析蛋白质组中与从一组对齐的含有基序的肽构建的基序特异性决定因素模型具有显著相似性的区域。有多种评分方法可用于构建描述基序特异性决定因素模型的位置特异性评分矩阵(PSSM)。然后,用户可以通过交互式 PSSM 热图来修改该模型,以添加特异性决定因素的先验知识。PSSMSearch 包括一个统计框架,用于计算针对感兴趣的蛋白质组的特异性决定因素模型匹配的显著性。PSSMSearch 还包括 SLiMSearch 框架的注释、基序功能分析和筛选工具,以突出相关的区分信息。此外,还添加了用于注释具有统计学意义的共享关键字和 GO 术语,或与基序识别蛋白相互作用的实验证据的工具。最后,基于 PSSM 创建了用于分类范围分析的保守度量。PSSMSearch 网络服务器可在 http://slim.ucd.ie/pssmsearch/ 上获得。