Literature DB >> 20193785

Prediction and design of DNA and RNA structures.

Ebbe Sloth Andersen1.   

Abstract

Computational tools for prediction and design of DNA and RNA structures are used for different approaches in nucleic acid research. The prediction tools are used for the identification and modeling of biologically important nucleic acid structures, whereas the design tools aim at constructing novel molecular architectures and devices for nanotechnology and synthetic biology. The recent successes in predicting RNA three-dimensional structure directly from sequence and in designing sequences that self-assemble into predefined DNA and RNA nanostructures show that nucleic acid structure is predictable and controllable. The prediction and design approaches deal with reverse problems of relating sequence and structure, but share the main computational principles, visual representations and modeling approaches. The prediction and design tools are introduced together here to provide an overview of their current capabilities and deficiencies. The tools are listed by input and output to provide a user perspective and an extended tool table is made available at http://www.cdna.dk/tools/. Copyright (c) 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20193785     DOI: 10.1016/j.nbt.2010.02.012

Source DB:  PubMed          Journal:  N Biotechnol        ISSN: 1871-6784            Impact factor:   5.079


  7 in total

Review 1.  A classification of bioinformatics algorithms from the viewpoint of maximizing expected accuracy (MEA).

Authors:  Michiaki Hamada; Kiyoshi Asai
Journal:  J Comput Biol       Date:  2012-02-07       Impact factor: 1.479

2.  A domain-level DNA strand displacement reaction enumerator allowing arbitrary non-pseudoknotted secondary structures.

Authors:  Stefan Badelt; Casey Grun; Karthik V Sarma; Brian Wolfe; Seung Woo Shin; Erik Winfree
Journal:  J R Soc Interface       Date:  2020-06-03       Impact factor: 4.118

3.  Biomolecular Modeling and Simulation: A Prospering Multidisciplinary Field.

Authors:  Tamar Schlick; Stephanie Portillo-Ledesma; Christopher G Myers; Lauren Beljak; Justin Chen; Sami Dakhel; Daniel Darling; Sayak Ghosh; Joseph Hall; Mikaeel Jan; Emily Liang; Sera Saju; Mackenzie Vohr; Chris Wu; Yifan Xu; Eva Xue
Journal:  Annu Rev Biophys       Date:  2021-02-19       Impact factor: 12.981

4.  Multithreaded comparative RNA secondary structure prediction using stochastic context-free grammars.

Authors:  Zsuzsanna Sükösd; Bjarne Knudsen; Morten Vaerum; Jørgen Kjems; Ebbe S Andersen
Journal:  BMC Bioinformatics       Date:  2011-04-18       Impact factor: 3.169

5.  Using RNA-Seq to Investigate Immune-Metabolism Features in Immunocompromised Patients With Sepsis.

Authors:  Po-Liang Cheng; Hsin-Hua Chen; Yu-Han Jiang; Tzu-Hung Hsiao; Chen-Yu Wang; Chieh-Liang Wu; Tai-Ming Ko; Wen-Cheng Chao
Journal:  Front Med (Lausanne)       Date:  2021-12-17

6.  Physics-based RNA structure prediction.

Authors:  Xiaojun Xu; Shi-Jie Chen
Journal:  Biophys Rep       Date:  2015-07-09

7.  Modelling aptamers with nucleic acid mimics (NAM): From sequence to three-dimensional docking.

Authors:  Ricardo Oliveira; Eva Pinho; Ana Luísa Sousa; Óscar Dias; Nuno Filipe Azevedo; Carina Almeida
Journal:  PLoS One       Date:  2022-03-23       Impact factor: 3.240

  7 in total

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