F. Ballesio , A. Teofani , C. Carrino , M. Catalano , M.L. Nicolaeasa , G. Ausiello , M. Helmer-Citterich , P.F. Gherardini
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We now introduce BEAGLE 2.0, a web server designed to facilitate the search for structural similarities between user-provided RNA molecules and an expanded collection of RNA secondary structure datasets. These datasets include structures derived from SHAPE experiments in <em>Homo sapiens</em>, <em>Mus musculus</em>, <em>Danio rerio</em>, <em>Escherichia coli</em>, <em>Bacillus subtilis</em>, and various viruses, including SARS-CoV-2. It also incorporates predicted structures from the NONCODE database for a wide range of animals and plants, as well as a dataset of structures based on constraints derived from conserved positions within the families present in Rfam. Users can input RNA sequences or a combination of sequences and secondary structures in either dot-bracket or BEAR format. BEAGLE 2.0 outputs pairwise alignments with measures of structural similarity and statistical significance. Additionally, it offers a visual representation of the secondary structures, with structural elements highlighted in different colors. Overall, BEAGLE 2.0 enables searches in RNA structure datasets leveraging experimentally supported data, to identify structural similarities in RNAs of interest. BEAGLE 2.0 is available at <span><span>https://beagle2.bio.uniroma2.it</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":369,"journal":{"name":"Journal of Molecular Biology","volume":"437 15","pages":"Article 169154"},"PeriodicalIF":4.7000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"BEAGLE 2.0: A Web Server for RNA Secondary Structure Similarity Detection Leveraging SHAPE-directed RNA Structure Determination\",\"authors\":\"F. Ballesio , A. Teofani , C. Carrino , M. Catalano , M.L. Nicolaeasa , G. Ausiello , M. Helmer-Citterich , P.F. 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These datasets include structures derived from SHAPE experiments in <em>Homo sapiens</em>, <em>Mus musculus</em>, <em>Danio rerio</em>, <em>Escherichia coli</em>, <em>Bacillus subtilis</em>, and various viruses, including SARS-CoV-2. It also incorporates predicted structures from the NONCODE database for a wide range of animals and plants, as well as a dataset of structures based on constraints derived from conserved positions within the families present in Rfam. Users can input RNA sequences or a combination of sequences and secondary structures in either dot-bracket or BEAR format. BEAGLE 2.0 outputs pairwise alignments with measures of structural similarity and statistical significance. Additionally, it offers a visual representation of the secondary structures, with structural elements highlighted in different colors. Overall, BEAGLE 2.0 enables searches in RNA structure datasets leveraging experimentally supported data, to identify structural similarities in RNAs of interest. 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BEAGLE 2.0: A Web Server for RNA Secondary Structure Similarity Detection Leveraging SHAPE-directed RNA Structure Determination
Recent studies underscore the significant role of RNA secondary structures in various biological and pathological processes. Structural conservation can reveal homologies undetectable by sequence analysis alone, making accurate prediction and comparison of RNA secondary structures crucial. The BEAGLE algorithm enables pairwise alignments of RNA secondary structures through dynamic programming, leveraging the BEAR encoding for RNA secondary structures representation. Initially, BEAGLE was designed to perform pairwise alignments of user-provided RNAs or against a limited number of datasets. We now introduce BEAGLE 2.0, a web server designed to facilitate the search for structural similarities between user-provided RNA molecules and an expanded collection of RNA secondary structure datasets. These datasets include structures derived from SHAPE experiments in Homo sapiens, Mus musculus, Danio rerio, Escherichia coli, Bacillus subtilis, and various viruses, including SARS-CoV-2. It also incorporates predicted structures from the NONCODE database for a wide range of animals and plants, as well as a dataset of structures based on constraints derived from conserved positions within the families present in Rfam. Users can input RNA sequences or a combination of sequences and secondary structures in either dot-bracket or BEAR format. BEAGLE 2.0 outputs pairwise alignments with measures of structural similarity and statistical significance. Additionally, it offers a visual representation of the secondary structures, with structural elements highlighted in different colors. Overall, BEAGLE 2.0 enables searches in RNA structure datasets leveraging experimentally supported data, to identify structural similarities in RNAs of interest. BEAGLE 2.0 is available at https://beagle2.bio.uniroma2.it.
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.