ANNInter:一个探索拟南芥ncRNA-ncRNA相互作用的平台。

IF 2.6 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2024-12-27 DOI:10.1016/j.compbiolchem.2024.108328
AT Vivek , Namrata Sahu , Garima Kalakoti, Shailesh Kumar
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引用次数: 0

摘要

真核生物转录组非常复杂,不仅包括蛋白质编码rna,还包括不断扩大的非编码rna (ncRNAs)。在植物中,ncRNA-ncRNA相互作用(NNIs)已成为基因表达的关键调节因子,协调发育和对胁迫的适应性反应。尽管它们具有关键作用,但由于缺乏全面的资源,人们对它们的功能意义仍然知之甚少。在这里,我们提出了ANNInter,这是一个综合平台,将计算预测与实验数据集相结合,系统地识别和分析NNIs。目前的版本编目了超过90,000个相互作用,涵盖8类srna到更长的ncrna,每个都广泛地注释了相互作用类型,识别方法和功能描述。ANNInter的集成架构和高级可视化框架使用户能够探索复杂的交互网络,为ncrna介导的调控提供全系统的见解。这些相互作用数据为揭示NNIs在生长调节、应激适应和细胞信号传导等关键生物过程中的调节作用提供了无与伦比的机会。通过提供一个广泛的、精心策划的基于计算和降解体的相互作用数据库,ANNInter将为ncRNA生物学研究提供一个平台,阐明NNIs的复杂机制,并支持基因调控中竞争内源rna (ceRNAs)的概念。该平台可在https://www.nipgr.ac.in/ANNInter/免费访问。
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ANNInter: A platform to explore ncRNA-ncRNA interactome of Arabidopsis thaliana
Eukaryotic transcriptomes are remarkably complex, encompassing not only protein-coding RNAs but also an expanding repertoire of noncoding RNAs (ncRNAs). In plants, ncRNA-ncRNA interactions (NNIs) have emerged as pivotal regulators of gene expression, orchestrating development and adaptive responses to stress. Despite their critical roles, the functional significance of NNIs remains poorly understood, largely due to a lack of comprehensive resources. Here, we present ANNInter, a comprehensive platform that integrates computational predictions with experimental datasets to systematically identify and analyze NNIs. The current version catalogs over 90,000 interactions spanning eight categories of sRNA-to-longer ncRNAs, each extensively annotated with interaction types, identification methods, and functional descriptions. The integrated schema and advanced visualization framework in ANNInter enable users to explore intricate interaction networks, providing system-wide insights into ncRNA-mediated regulation. These interaction data provide unparalleled opportunities to uncover the regulatory roles of NNIs in key biological processes such as growth regulation, stress adaptation, and cellular signaling. By providing an extensive, curated repository of computational and degradome-based interaction data, ANNInter will provide a platform to the study of ncRNA biology, elucidating the complex mechanisms of NNIs and supporting the concept of competing endogenous RNAs (ceRNAs) in gene regulation. The platform is freely accessible at https://www.nipgr.ac.in/ANNInter/.
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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