Bioinformatic analysis of Toll-like receptor sequences and structures.

Bioinformatic analysis of Toll-like receptor sequences and structures.
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Toll 样受体序列和结构的生物信息分析。

DOI:
10.1007/978-1-59745-541-1_5
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发表时间:
2009
期刊:
Methods in molecular biology (Clifton, N.J.)
影响因子:
--
通讯作者:
Monie TP
Monie TP
中科院分区:
--
文献类型:
--
作者:
Monie TP

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计算能力和复杂性的不断进步,加上蛋白质序列和结构信息的快速增加,使生物信息学工具成为分子和结构生物学家的宝贵资源。随着序列信息的程度继续以几乎指数级的速度扩展,今天的科学家必须对如何利用,操纵和分析这些信息以使他们自己的实验受益有一个基本的了解。在Toll-白细胞介素-1受体(TIR)结构域的蛋白质的背景下,我们在这里描述了一系列更常见和用户友好的生物信息学工具,可作为基于互联网的资源。这些将使蛋白质序列的识别和比对,功能基序的识别,蛋白质二级结构的表征,蛋白质结构折叠和远同源蛋白质的识别,以及模拟蛋白质结构的结构几何形状的验证成为可能。
Continual advancements in computing power and sophistication, coupled with rapid increases in protein sequence and structural information, have made bioinformatic tools an invaluable resource for the molecular and structural biologists. With the degree of sequence information continuing to expand at an almost exponential rate, it is essential that scientists today have a basic understanding of how to utilise, manipulate, and analyse this information for the benefit of their own experiments. In the context of Toll-interleukin-1 receptor (TIR) domain containing proteins, we describe here a series of the more common and user-friendly bioinformatic tools available as internet-based resources. These will enable the identification and alignment of protein sequences, the identification of functional motifs, the characterisation of protein secondary structure, the identification of protein structural folds and distantly homologous proteins, and the validation of the structural geometry of modelled protein structures.
DOI: 10.1093/nar/25.17.3389
发表时间: 1997-09-01
影响因子: 14.9
作者:
Altschul, SF;Madden, TL;Lipman, DJ
通讯作者: Lipman, DJ
DOI: 10.1016/s0022-2836(05)80360-2
发表时间: 1990-10-05
影响因子: 5.6
作者:
ALTSCHUL, SF;GISH, W;LIPMAN, DJ
通讯作者: LIPMAN, DJ