LogoMotif:放线菌转录因子结合位点图谱综合数据库

IF 4.7 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Biology Pub Date : 2024-09-01 DOI:10.1016/j.jmb.2024.168558
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引用次数: 0

摘要

放线菌经历复杂的多细胞生命周期,并产生多种特殊代谢产物,包括大多数抗生素。这些生物过程由错综复杂的调控途径控制,为了更好地了解它们是如何被控制的,我们需要加强对转录因子结合位点的了解。在这里,我们介绍一个开源数据库 LogoMotif(),该数据库收录了放线菌中表征和预测的转录因子结合位点,以及它们的同源位置权重矩阵和隐马尔可夫模型。在交互式调控网络中,提供了对模式生物中结合位点位置的全基因组预测,并将其可视化。在网络界面上,用户可以自由访问、下载和研究基础数据。LogoMotif 收集了大量放线菌的调控相互作用,可作为结合位点预测的基础,从而为用户提供如何诱导相关基因表达的线索,并指导基因组挖掘工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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LogoMotif: A Comprehensive Database of Transcription Factor Binding Site Profiles in Actinobacteria

Actinobacteria undergo a complex multicellular life cycle and produce a wide range of specialized metabolites, including the majority of the antibiotics. These biological processes are controlled by intricate regulatory pathways, and to better understand how they are controlled we need to augment our insights into the transcription factor binding sites. Here, we present LogoMotif (https://logomotif.bioinformatics.nl), an open-source database for characterized and predicted transcription factor binding sites in Actinobacteria, along with their cognate position weight matrices and hidden Markov models. Genome-wide predictions of binding site locations in Streptomyces model organisms are supplied and visualized in interactive regulatory networks. In the web interface, users can freely access, download and investigate the underlying data. With this curated collection of actinobacterial regulatory interactions, LogoMotif serves as a basis for binding site predictions, thus providing users with clues on how to elicit the expression of genes of interest and guide genome mining efforts.

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来源期刊
Journal of Molecular Biology
Journal of Molecular Biology 生物-生化与分子生物学
CiteScore
11.30
自引率
1.80%
发文量
412
审稿时长
28 days
期刊介绍: Journal of Molecular Biology (JMB) provides high quality, comprehensive and broad coverage in all areas of molecular biology. The journal publishes original scientific research papers that provide mechanistic and functional insights and report a significant advance to the field. The journal encourages the submission of multidisciplinary studies that use complementary experimental and computational approaches to address challenging biological questions. Research areas include but are not limited to: Biomolecular interactions, signaling networks, systems biology; Cell cycle, cell growth, cell differentiation; Cell death, autophagy; Cell signaling and regulation; Chemical biology; Computational biology, in combination with experimental studies; DNA replication, repair, and recombination; Development, regenerative biology, mechanistic and functional studies of stem cells; Epigenetics, chromatin structure and function; Gene expression; Membrane processes, cell surface proteins and cell-cell interactions; Methodological advances, both experimental and theoretical, including databases; Microbiology, virology, and interactions with the host or environment; Microbiota mechanistic and functional studies; Nuclear organization; Post-translational modifications, proteomics; Processing and function of biologically important macromolecules and complexes; Molecular basis of disease; RNA processing, structure and functions of non-coding RNAs, transcription; Sorting, spatiotemporal organization, trafficking; Structural biology; Synthetic biology; Translation, protein folding, chaperones, protein degradation and quality control.
期刊最新文献
Editorial Board Outside Front Cover Assembly of the human multi-tRNA synthetase complex through leucine zipper motifs. Corrigendum to “The Role of ATG9 Vesicles in Autophagosome Biogenesis” [J. Mol. Biol. 436(15) (2024) 168489] Structural studies on Mycobacterial NudC reveal a class of zinc independent NADH pyrophosphatase.
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