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用于构建和利用AlloRep数据库的出版物、结构分析及查询数据。

Data on publications, structural analyses, and queries used to build and utilize the AlloRep database.

作者信息

Sousa Filipa L, Parente Daniel J, Hessman Jacob A, Chazelle Allen, Teichmann Sarah A, Swint-Kruse Liskin

机构信息

Institute of Molecular Evolution, Heinrich-Heine Universität Düsseldorf, Universitätstrasse 1, 40225 Düsseldorf, Germany.

The Department of Biochemistry and Molecular Biology, The University of Kansas Medical Center, Kansas City, KS 66160, USA.

出版信息

Data Brief. 2016 Jul 9;8:948-57. doi: 10.1016/j.dib.2016.07.006. eCollection 2016 Sep.

DOI:10.1016/j.dib.2016.07.006
PMID:27508249
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4961497/
Abstract

The AlloRep database (www.AlloRep.org) (Sousa et al., 2016) [1] compiles extensive sequence, mutagenesis, and structural information for the LacI/GalR family of transcription regulators. Sequence alignments are presented for >3000 proteins in 45 paralog subfamilies and as a subsampled alignment of the whole family. Phenotypic and biochemical data on almost 6000 mutants have been compiled from an exhaustive search of the literature; citations for these data are included herein. These data include information about oligomerization state, stability, DNA binding and allosteric regulation. Protein structural data for 65 proteins are presented as easily-accessible, residue-contact networks. Finally, this article includes example queries to enable the use of the AlloRep database. See the related article, "AlloRep: a repository of sequence, structural and mutagenesis data for the LacI/GalR transcription regulators" (Sousa et al., 2016) [1].

摘要

AlloRep数据库(www.AlloRep.org)(苏萨等人,2016年)[1]汇编了转录调节因子LacI/GalR家族的广泛序列、诱变和结构信息。展示了45个旁系同源亚家族中3000多种蛋白质的序列比对以及整个家族的抽样比对。通过对文献的详尽检索,汇编了近6000个突变体的表型和生化数据;本文包含这些数据的引用。这些数据包括关于寡聚化状态、稳定性、DNA结合和变构调节的信息。65种蛋白质的蛋白质结构数据以易于访问的残基接触网络形式呈现。最后,本文包含示例查询,以便使用AlloRep数据库。另见相关文章《AlloRep:LacI/GalR转录调节因子的序列、结构和诱变数据储存库》(苏萨等人,2016年)[1]。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ce9/4961497/9d6c58b26b7c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ce9/4961497/0a66308f89fe/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ce9/4961497/3b179cd4be21/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ce9/4961497/9d6c58b26b7c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ce9/4961497/0a66308f89fe/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ce9/4961497/3b179cd4be21/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ce9/4961497/9d6c58b26b7c/gr3.jpg

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3
Mutations in transcriptional regulators allow selective engineering of signal integration logic.
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4
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