6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      RNAspider: a webserver to analyze entanglements in RNA 3D structures

      research-article

      Read this article at

          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Advances in experimental and computational techniques enable the exploration of large and complex RNA 3D structures. These, in turn, reveal previously unstudied properties and motifs not characteristic for small molecules with simple architectures. Examples include entanglements of structural elements in RNA molecules and knot-like folds discovered, among others, in the genomes of RNA viruses. Recently, we presented the first classification of entanglements, determined by their topology and the type of entangled structural elements. Here, we introduce RNAspider – a web server to automatically identify, classify, and visualize primary and higher-order entanglements in RNA tertiary structures. The program applies to evaluate RNA 3D models obtained experimentally or by computational prediction. It supports the analysis of uncommon topologies in the pseudoknotted RNA structures. RNAspider is implemented as a publicly available tool with a user-friendly interface and can be freely accessed at https://rnaspider.cs.put.poznan.pl/.

          Graphical Abstract

          Graphical Abstract

          RNAspider: a webserver to analyze entanglements in RNA 3D structures.

          Related collections

          Most cited references43

          • Record: found
          • Abstract: found
          • Article: not found

          The Protein Data Bank.

          The Protein Data Bank (PDB; http://www.rcsb.org/pdb/ ) is the single worldwide archive of structural data of biological macromolecules. This paper describes the goals of the PDB, the systems in place for data deposition and access, how to obtain further information, and near-term plans for the future development of the resource.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Mol* Viewer: modern web app for 3D visualization and analysis of large biomolecular structures

            Large biomolecular structures are being determined experimentally on a daily basis using established techniques such as crystallography and electron microscopy. In addition, emerging integrative or hybrid methods (I/HM) are producing structural models of huge macromolecular machines and assemblies, sometimes containing 100s of millions of non-hydrogen atoms. The performance requirements for visualization and analysis tools delivering these data are increasing rapidly. Significant progress in developing online, web-native three-dimensional (3D) visualization tools was previously accomplished with the introduction of the LiteMol suite and NGL Viewers. Thereafter, Mol* development was jointly initiated by PDBe and RCSB PDB to combine and build on the strengths of LiteMol (developed by PDBe) and NGL (developed by RCSB PDB). The web-native Mol* Viewer enables 3D visualization and streaming of macromolecular coordinate and experimental data, together with capabilities for displaying structure quality, functional, or biological context annotations. High-performance graphics and data management allows users to simultaneously visualise up to hundreds of (superimposed) protein structures, stream molecular dynamics simulation trajectories, render cell-level models, or display huge I/HM structures. It is the primary 3D structure viewer used by PDBe and RCSB PDB. It can be easily integrated into third-party services. Mol* Viewer is open source and freely available at https://molstar.org/ . Graphical Abstract Overview of the large array of entities and systems that can be visualized and be manipulated with by the Mol* Viewer.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              VARNA: Interactive drawing and editing of the RNA secondary structure

              Description: VARNA is a tool for the automated drawing, visualization and annotation of the secondary structure of RNA, designed as a companion software for web servers and databases. Features: VARNA implements four drawing algorithms, supports input/output using the classic formats dbn, ct, bpseq and RNAML and exports the drawing as five picture formats, either pixel-based (JPEG, PNG) or vector-based (SVG, EPS and XFIG). It also allows manual modification and structural annotation of the resulting drawing using either an interactive point and click approach, within a web server or through command-line arguments. Availability: VARNA is a free software, released under the terms of the GPLv3.0 license and available at http://varna.lri.fr Contact: ponty@lri.fr Supplementary information: Supplementary data are available at Bioinformatics online.
                Bookmark

                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                05 July 2022
                29 March 2022
                29 March 2022
                : 50
                : W1
                : W663-W669
                Affiliations
                Institute of Computing Science and European Centre for Bioinformatics and Genomics, Poznan University of Technology , Piotrowo 2, 60-965 Poznan, Poland
                Institute of Computing Science and European Centre for Bioinformatics and Genomics, Poznan University of Technology , Piotrowo 2, 60-965 Poznan, Poland
                Institute of Bioorganic Chemistry, Polish Academy of Sciences , Noskowskiego 12/14, 61-704 Poznan, Poland
                Institute of Computing Science and European Centre for Bioinformatics and Genomics, Poznan University of Technology , Piotrowo 2, 60-965 Poznan, Poland
                Institute of Bioorganic Chemistry, Polish Academy of Sciences , Noskowskiego 12/14, 61-704 Poznan, Poland
                Institute of Computing Science and European Centre for Bioinformatics and Genomics, Poznan University of Technology , Piotrowo 2, 60-965 Poznan, Poland
                Institute of Computing Science and European Centre for Bioinformatics and Genomics, Poznan University of Technology , Piotrowo 2, 60-965 Poznan, Poland
                Institute of Bioorganic Chemistry, Polish Academy of Sciences , Noskowskiego 12/14, 61-704 Poznan, Poland
                Institute of Computing Science and European Centre for Bioinformatics and Genomics, Poznan University of Technology , Piotrowo 2, 60-965 Poznan, Poland
                Institute of Bioorganic Chemistry, Polish Academy of Sciences , Noskowskiego 12/14, 61-704 Poznan, Poland
                Author notes
                To whom correspondence should be addressed. Tel: +48 616652999; Fax: +48 618771525; Email: marta.szachniuk@ 123456cs.put.poznan.pl
                Correspondence may also be addressed to Maciej Antczak. Email: maciej.antczak@ 123456cs.put.poznan.pl
                Author information
                https://orcid.org/0000-0003-4103-9238
                https://orcid.org/0000-0002-8724-7908
                Article
                gkac218
                10.1093/nar/gkac218
                9252836
                35349710
                e7742dc5-5502-4025-9915-88fa884c3c34
                © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 March 2022
                : 04 March 2022
                : 31 January 2022
                Page count
                Pages: 7
                Funding
                Funded by: National Science Centre, Poland, DOI 10.13039/501100004442;
                Award ID: 2019/35/B/ST6/03074
                Funded by: Poznan University of Technology, DOI 10.13039/501100004239;
                Funded by: Institute of Bioorganic Chemistry, Polish Academy of Sciences, DOI 10.13039/501100020811;
                Categories
                AcademicSubjects/SCI00010
                Web Server Issue

                Genetics
                Genetics

                Comments

                Comment on this article