Yoan Bouzin, B. Viart, M. Moriel-Carretero, S. Kossida
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引用次数: 1
Abstract
Python Function uncover (PyFuncover) is a new bioinformatic tool able to search proteins with a specific function in a full proteome. The pipeline coded in python uses BLAST alignment and the sequences from a PFAM family as the search seed. We tested PyFuncover using the fatty acid-binding family (FABP) Lipocalin_7 from PFAM (version 32, 2019) against the Homo sapiens NCBI proteome. After applying the scoring function in all the BLAST results, the data were classified and submitted to a GO-TERM analysis using bioDBnet. Analyses showed that all families of FABPs were ranked within the top scores. Included within this category were also families able to bind to hydrophobic molecules similar to fatty acids such as the retinol acid transporter and the cellular retinoic acid-binding protein.
Python Function discover (PyFuncover)是一种新的生物信息学工具,能够在完整的蛋白质组中搜索具有特定功能的蛋白质。用python编码的管道使用BLAST对齐和来自PFAM族的序列作为搜索种子。我们使用PFAM(版本32,2019)中的脂肪酸结合家族(FABP) Lipocalin_7对智人NCBI蛋白质组进行了PyFuncover测试。在对所有BLAST结果应用评分函数后,对数据进行分类并使用bioDBnet提交GO-TERM分析。分析显示,所有fabp家庭的得分都在前列。这一类中还包括能够与类似脂肪酸的疏水分子结合的家族,如视黄醇酸转运体和细胞视黄酸结合蛋白。