CompariPSSM: a PSSM-PSSM comparison tool for motif-binding determinant analysis.

Ifigenia Tsitsa, Izabella Krystkowiak, Norman E Davey
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引用次数: 0

Abstract

Motivation: Short linear motifs (SLiMs) are compact functional modules that mediate low-affinity protein-protein interactions. SLiMs direct the function of many dynamic signalling and regulatory complexes playing a central role in most biological processes of the cell. Motif-binding determinants describe the contribution of each residue in a motif-containing peptide to the affinity and specificity of binding to the motif-binding partner. Motif-binding determinants are generally defined as a motif consensus pattern or a position-specific scoring matrix (PSSM) encoding quantitative preferences. Motif-binding determinant comparison is an important motif analysis task and can be applied to motif annotation, classification, clustering, discovery and benchmarking. Currently, binding determinant comparison is generally performed by analysing consensus similarity; however, this ignores important quantitative information in both the consensus and non-consensus positions.

Results: We have created a new tool, CompariPSSM, that quantifies the similarity between motif-binding determinants using sliding window PSSM-PSSM comparison and scores PSSM similarity using a randomisation-based probabilistic framework. The tool has been benchmarked on curated data from the eukaryotic linear motif database and experimental data from proteomic peptidephage display. CompariPSSM can be used for peptide classification to validate motif classes, peptide clustering to group functionally related conserved disordered regions, and benchmarking experimental motif discovery methods.

Availability and implementation: CompariPSSM is available at https://slim.icr.ac.uk/projects/comparipssm.

CompariPSSM:用于图案结合决定因素分析的 PSSM-PSSM 比较工具。
动机短线性基因(SLiMs)是介导低亲和性蛋白质-蛋白质相互作用的紧凑型功能模块。SLiMs 指导着许多动态信号和调控复合物的功能,在细胞的大多数生物过程中发挥着核心作用。基元结合决定因子描述了含基元肽中每个残基对基元结合伙伴的亲和力和特异性的贡献。图案结合决定因素通常被定义为图案共识模式或编码定量偏好的位置特异性评分矩阵(PSSM)。图案结合决定因素比较是一项重要的图案分析任务,可用于图案注释、分类、聚类、发现和基准测试。目前,结合决定因素比较一般通过分析共识相似性来进行,但这忽略了共识位置和非共识位置的重要定量信息:我们创建了一个新工具 CompariPSSM,它使用滑动窗口 PSSM-PSSM 比较法量化图案结合决定因子之间的相似性,并使用基于随机化的概率框架对 PSSM 相似性进行评分。该工具已在真核线性基因组(ELM)数据库和蛋白质组噬菌体展示(ProP-PD)实验数据中进行了基准测试。CompariPSSM 可用于肽分类以验证主题类别,肽聚类以将功能相关的保守无序区分组,以及对实验性主题发现方法进行基准测试:CompariPSSM 可从 https://slim.icr.ac.uk/projects/comparipssm.Supplementary 信息中获取:补充数据可在 Bioinformatics online 上获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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