Literature DB >> 27665601

Automated RNA 3D Structure Prediction with RNAComposer.

Marcin Biesiada1,2, Katarzyna J Purzycka2, Marta Szachniuk1,3, Jacek Blazewicz1,3, Ryszard W Adamiak4,5.   

Abstract

RNAs adopt specific structures to perform their activities and these are critical to virtually all RNA-mediated processes. Because of difficulties in experimentally assessing structures of large RNAs using NMR, X-ray crystallography, or cryo-microscopy, there is currently great demand for new high-resolution 3D structure prediction methods. Recently we reported on RNAComposer, a knowledge-based method for the fully automated RNA 3D structure prediction from a user-defined secondary structure. RNAComposer method is especially suited for structural biology users. Since our initial report in 2012, both servers, freely available at http://rnacomposer.ibch.poznan.pl and http://rnacomposer.cs.put.poznan.pl have been often visited. Therefore this chapter provides guidance for using RNAComposer and discusses points that should be considered when predicting 3D RNA structure. An application example presents current scope and limitations of RNAComposer.

Keywords:  RNA modeling; RNA tertiary structure; RNA three-dimensional structure

Mesh:

Substances:

Year:  2016        PMID: 27665601     DOI: 10.1007/978-1-4939-6433-8_13

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  30 in total

1.  Elucidation and Structural Modeling of CD71 as a Molecular Target for Cell-Specific Aptamer Binding.

Authors:  Xiaoqiu Wu; Honglin Liu; Dongmei Han; Bo Peng; Hui Zhang; Lin Zhang; Jianglin Li; Jing Liu; Cheng Cui; Senbiao Fang; Min Li; Mao Ye; Weihong Tan
Journal:  J Am Chem Soc       Date:  2019-07-01       Impact factor: 15.419

2.  Nuclear Magnetic Resonance Structure of an 8 × 8 Nucleotide RNA Internal Loop Flanked on Each Side by Three Watson-Crick Pairs and Comparison to Three-Dimensional Predictions.

Authors:  Andrew D Kauffmann; Scott D Kennedy; Jianbo Zhao; Douglas H Turner
Journal:  Biochemistry       Date:  2017-07-12       Impact factor: 3.162

3.  Automated, customizable and efficient identification of 3D base pair modules with BayesPairing.

Authors:  Roman Sarrazin-Gendron; Vladimir Reinharz; Carlos G Oliver; Nicolas Moitessier; Jérôme Waldispühl
Journal:  Nucleic Acids Res       Date:  2019-04-23       Impact factor: 16.971

4.  Structural basis of target DNA recognition by CRISPR-Cas12k for RNA-guided DNA transposition.

Authors:  Renjian Xiao; Shukun Wang; Ruijie Han; Zhuang Li; Clinton Gabel; Indranil Arun Mukherjee; Leifu Chang
Journal:  Mol Cell       Date:  2021-08-26       Impact factor: 17.970

5.  FebRNA: An automated fragment-ensemble-based model for building RNA 3D structures.

Authors:  Li Zhou; Xunxun Wang; Shixiong Yu; Ya-Lan Tan; Zhi-Jie Tan
Journal:  Biophys J       Date:  2022-08-17       Impact factor: 3.699

6.  Immunoinformatics Approach Toward the Introduction of a Novel Multi-Epitope Vaccine Against Clostridium difficile.

Authors:  Caixia Tan; Fei Zhu; Yuanyuan Xiao; Yuqi Wu; Xiujuan Meng; Sidi Liu; Ting Liu; Siyao Chen; Juan Zhou; Chunhui Li; Anhua Wu
Journal:  Front Immunol       Date:  2022-05-26       Impact factor: 8.786

7.  NMR-derived secondary structure of the full-length Ox40 mRNA 3'UTR and its multivalent binding to the immunoregulatory RBP Roquin.

Authors:  Jan-Niklas Tants; Lea Marie Becker; François McNicoll; Michaela Müller-McNicoll; Andreas Schlundt
Journal:  Nucleic Acids Res       Date:  2022-04-22       Impact factor: 19.160

8.  Unusual RNA binding of FUS RRM studied by molecular dynamics simulation and enhanced sampling method.

Authors:  Sushmita Basu; Suresh Alagar; Ranjit Prasad Bahadur
Journal:  Biophys J       Date:  2021-03-09       Impact factor: 4.033

Review 9.  Using RNA Sequence and Structure for the Prediction of Riboswitch Aptamer: A Comprehensive Review of Available Software and Tools.

Authors:  Deborah Antunes; Natasha A N Jorge; Ernesto R Caffarena; Fabio Passetti
Journal:  Front Genet       Date:  2018-01-19       Impact factor: 4.599

10.  Elongational stalling activates mitoribosome-associated quality control.

Authors:  Nirupa Desai; Hanting Yang; Viswanathan Chandrasekaran; Razina Kazi; Michal Minczuk; V Ramakrishnan
Journal:  Science       Date:  2020-11-27       Impact factor: 47.728

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.