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A Wide Antimicrobial Peptides Search Method Using Fuzzy Modeling

机译:应用模糊建模的广泛的抗菌肽搜索方法

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摘要

The search for novel antimicrobial peptides in free databases is a key element to design new antibiotics. Their amino acid physicochemical features impact into the antimicrobial peptides activities. The relationship between the amino acid physicochemical properties and the antimicrobial target might have a fuzzy behavior. This study proposes a sequence similarity and physicochemical search method followed by a fuzzy inference system to find the most appropriated antimicrobial peptides for each domain. The proposed system was tested with NCBI's NR protein data file and the obtained peptide sub dataset will be tested in vitro.
机译:在免费数据库中寻找新的抗菌肽是设计新抗生素的关键要素。它们的氨基酸理化特性影响抗菌肽的活性。氨基酸的理化性质和抗菌目标之间的关系可能具有模糊的行为。这项研究提出了一种序列相似性和理化搜索方法,然后提出了一种模糊推理系统,以找到每个域最合适的抗菌肽。拟议的系统已通过NCBI的NR蛋白数据文件进行了测试,获得的肽亚组数据将在体外进行测试。

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