Literature DB >> 34732566

RNALigands: a database and web server for RNA-ligand interactions.

Saisai Sun1,2,3, Jianyi Yang4, Zhaolei Zhang2,3,5.   

Abstract

RNA molecules can fold into complex and stable 3D structures, allowing them to carry out important genetic, structural, and regulatory roles inside the cell. These complex structures often contain 3D pockets made up of secondary structural motifs that can be potentially targeted by small molecule ligands. Indeed, many RNA structures in PDB contain bound small molecules, and high-throughput experimental studies have generated a large number of interacting RNA and ligand pairs. There is considerable interest in developing small molecule lead compounds targeting viral RNAs or those RNAs implicated in neurological diseases or cancer. We hypothesize that RNAs that have similar secondary structural motifs may bind to similar small molecule ligands. Toward this goal, we established a database collecting RNA secondary structural motifs and bound small molecule ligands. We further developed a computational pipeline, which takes as input an RNA sequence, predicts its secondary structure, extracts structural motifs, and searches the database for similar secondary structure motifs and interacting small molecule. We demonstrated the utility of the server by querying α-synuclein mRNA 5' UTR sequence and finding potential matches which were validated as correct. The server is publicly available at http://RNALigands.ccbr.utoronto.ca The source code can also be downloaded at https://github.com/SaisaiSun/RNALigands.
© 2022 Sun et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society.

Entities:  

Keywords:  RNA structure; bioinformatics; database; ligands

Mesh:

Substances:

Year:  2021        PMID: 34732566      PMCID: PMC8906548          DOI: 10.1261/rna.078889.121

Source DB:  PubMed          Journal:  RNA        ISSN: 1355-8382            Impact factor:   4.942


  50 in total

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2.  Validation of an empirical RNA-ligand scoring function for fast flexible docking using Ribodock.

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Journal:  J Comput Aided Mol Des       Date:  2004-03       Impact factor: 3.686

3.  DOCK 6: combining techniques to model RNA-small molecule complexes.

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Journal:  RNA       Date:  2009-04-15       Impact factor: 4.942

4.  Docking to RNA via root-mean-square-deviation-driven energy minimization with flexible ligands and flexible targets.

Authors:  Christophe Guilbert; Thomas L James
Journal:  J Chem Inf Model       Date:  2008-05-30       Impact factor: 4.956

5.  RNAPosers: Machine Learning Classifiers for Ribonucleic Acid-Ligand Poses.

Authors:  Sahil Chhabra; Jingru Xie; Aaron T Frank
Journal:  J Phys Chem B       Date:  2020-05-19       Impact factor: 2.991

6.  Evidence for ligandable sites in structured RNA throughout the Protein Data Bank.

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Journal:  Bioorg Med Chem       Date:  2019-04-06       Impact factor: 3.641

7.  RNAMotifScan: automatic identification of RNA structural motifs using secondary structural alignment.

Authors:  Cuncong Zhong; Haixu Tang; Shaojie Zhang
Journal:  Nucleic Acids Res       Date:  2010-08-08       Impact factor: 16.971

8.  ssHMM: extracting intuitive sequence-structure motifs from high-throughput RNA-binding protein data.

Authors:  David Heller; Ralf Krestel; Uwe Ohler; Martin Vingron; Annalisa Marsico
Journal:  Nucleic Acids Res       Date:  2017-11-02       Impact factor: 16.971

9.  Augmented base pairing networks encode RNA-small molecule binding preferences.

Authors:  Carlos Oliver; Vincent Mallet; Roman Sarrazin Gendron; Vladimir Reinharz; William L Hamilton; Nicolas Moitessier; Jérôme Waldispühl
Journal:  Nucleic Acids Res       Date:  2020-07-11       Impact factor: 16.971

10.  CD-HIT: accelerated for clustering the next-generation sequencing data.

Authors:  Limin Fu; Beifang Niu; Zhengwei Zhu; Sitao Wu; Weizhong Li
Journal:  Bioinformatics       Date:  2012-10-11       Impact factor: 6.937

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  1 in total

1.  R-BIND 2.0: An Updated Database of Bioactive RNA-Targeting Small Molecules and Associated RNA Secondary Structures.

Authors:  Anita Donlic; Emily G Swanson; Liang-Yuan Chiu; Sarah L Wicks; Aline Umuhire Juru; Zhengguo Cai; Kamillah Kassam; Chris Laudeman; Bilva G Sanaba; Andrew Sugarman; Eunseong Han; Blanton S Tolbert; Amanda E Hargrove
Journal:  ACS Chem Biol       Date:  2022-05-20       Impact factor: 4.634

  1 in total

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