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a computerverwendung based method for identification of dna sequences, as drug targets for protein coding

机译:一种基于计算机的用于鉴定dna序列的方法,该序列作为蛋白质编码的药物靶标

摘要

The present invention relates to a versatile method of identifying protein coding DNA sequences (genes) useful as drug targets in a genome using specially developed software GeneDecipher, said method comprising steps of generating peptide libraries from the known genomes with peptide of length 'N' computationally arranged in an alphabetical order, artificially translating the test genome to obtain a polypeptide corresponding to each reading frame, converting each polypeptide sequence into an alphanumeric sequence one corresponding to each reading frame on the basis of overlappings with the peptide libraries, training Artificial Neural Network (ANN) with sigmoidal learning function to the alphanumeric sequence, deciphering the protein coding regions in the test genome, thus, identifying longer streches of peptides mapping to large number of known genes and their corresponding proteins and lastly, a method of the management of the diseases caused by the pathogenic organisms comprising a step of evaluation of the proposed drug candidate by inhibiting the functioning of one or more proteins identified by the steps of the invention.
机译:本发明涉及使用专门开发的软件GeneDecipher在基因组中鉴定可用作药物靶标的蛋白质编码DNA序列(基因)的通用方法,所述方法包括从已知基因组中通过计算长度为“ N”的肽生成肽库的步骤。以字母顺序排列,人工翻译测试基因组以获得与每个阅读框相对应的多肽,在与肽库重叠的基础上,将每个多肽序列转化为与每个阅读框相对应的字母数字序列,训练人工神经网络( (ANN)对字母数字序列具有S型学习功能,破译测试基因组中的蛋白质编码区,从而确定映射到大量已知基因及其相应蛋白质的更长肽段,最后是一种控制疾病的方法由包括通过抑制一种或多种通过本发明步骤鉴定的蛋白质的功能来评估所提议的候选药物的步骤。

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