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在蛋白质结构数据库中对复发结构基序进行三维搜索。

Three-dimensional searching for recurrent structural motifs in data bases of protein structures.

作者信息

Rustici M, Lesk A M

机构信息

Department of Haematology, University of Cambridge Clinical School, UK.

出版信息

J Comput Biol. 1994 Summer;1(2):121-32. doi: 10.1089/cmb.1994.1.121.

Abstract

The problem of searching a data base of coordinates of proteins for substructures similar to a probe structure or motif is an important problem in computational molecular biology. It is the three-dimensional analog of the one-dimensional case of pattern matching in strings, procedures for which are widely used in molecular biology to search data bases of gene sequences. Typical applications of substructure searching are: (i) Determining whether structural features observed in one protein structure are unique or recurrent, and (ii) in predictions of protein structures, to bridge gaps in an incomplete structural model, by searching the data base for peptides that link the given starting and ending points. We describe our analysis of the problem and our experience in developing software.

摘要

在计算分子生物学中,在蛋白质坐标数据库中搜索与探针结构或基序相似的子结构是一个重要问题。它是字符串中一维模式匹配的三维类似情况,而模式匹配程序在分子生物学中被广泛用于搜索基因序列数据库。子结构搜索的典型应用包括:(i)确定在一个蛋白质结构中观察到的结构特征是独特的还是重复出现的;(ii)在蛋白质结构预测中,通过在数据库中搜索连接给定起点和终点的肽段,来填补不完整结构模型中的空白。我们描述了我们对该问题的分析以及开发软件的经验。

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