Literature DB >> 19941322

Molecular recognition of RNA: challenges for modelling interactions and plasticity.

Simone Fulle1, Holger Gohlke.   

Abstract

There is growing interest in molecular recognition processes of RNA because of RNA's widespread involvement in biological processes. Computational approaches are increasingly used for analysing and predicting binding to RNA, fuelled by encouraging progress in developing simulation, free energy and docking methods for nucleic acids. These developments take into account challenges regarding the energetics of RNA-ligand binding, RNA plasticity, and the presence of water molecules and ions in the binding interface. Accordingly, we will detail advances in force field and scoring function development for molecular dynamics (MD) simulations, free energy computations and docking calculations of nucleic acid complexes. Furthermore, we present methods that can detect moving parts within RNA structures based on graph-theoretical approaches or normal mode analysis (NMA). As an example of the successful use of these developments, we will discuss recent structure-based drug design approaches that focus on the bacterial ribosomal A-site RNA as a drug target. 2009 John Wiley & Sons, Ltd.

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Year:  2010        PMID: 19941322     DOI: 10.1002/jmr.1000

Source DB:  PubMed          Journal:  J Mol Recognit        ISSN: 0952-3499            Impact factor:   2.137


  30 in total

Review 1.  RNA Structural Differentiation: Opportunities with Pattern Recognition.

Authors:  Christopher S Eubanks; Amanda E Hargrove
Journal:  Biochemistry       Date:  2018-12-18       Impact factor: 3.162

2.  Computational docking simulations of a DNA-aptamer for argininamide and related ligands.

Authors:  H Bauke Albada; Eyal Golub; Itamar Willner
Journal:  J Comput Aided Mol Des       Date:  2015-04-16       Impact factor: 3.686

Review 3.  Protein-RNA interactions: structural biology and computational modeling techniques.

Authors:  Susan Jones
Journal:  Biophys Rev       Date:  2016-11-14

4.  Target Flexibility in RNA-Ligand Docking Modeled by Elastic Potential Grids.

Authors:  Dennis M Krüger; Johannes Bergs; Sina Kazemi; Holger Gohlke
Journal:  ACS Med Chem Lett       Date:  2011-04-12       Impact factor: 4.345

Review 5.  Methods to enable the design of bioactive small molecules targeting RNA.

Authors:  Matthew D Disney; Ilyas Yildirim; Jessica L Childs-Disney
Journal:  Org Biomol Chem       Date:  2014-02-21       Impact factor: 3.876

6.  Synthesis, antibacterial studies, and molecular modeling studies of 3,4-dihydropyrimidinone compounds.

Authors:  Vanitha Ramachandran; Karthiga Arumugasamy; Sanjeev Kumar Singh; Naushad Edayadulla; Penugonda Ramesh; Sathish-Kumar Kamaraj
Journal:  J Chem Biol       Date:  2015-07-04

7.  A novel CUG(exp)·MBNL1 inhibitor with therapeutic potential for myotonic dystrophy type 1.

Authors:  Amin Haghighat Jahromi; Lien Nguyen; Yuan Fu; Kali A Miller; Anne M Baranger; Steven C Zimmerman
Journal:  ACS Chem Biol       Date:  2013-03-20       Impact factor: 5.100

8.  Fragment-based modelling of single stranded RNA bound to RNA recognition motif containing proteins.

Authors:  Isaure Chauvot de Beauchene; Sjoerd J de Vries; Martin Zacharias
Journal:  Nucleic Acids Res       Date:  2016-04-29       Impact factor: 16.971

Review 9.  Rational design of chemical genetic probes of RNA function and lead therapeutics targeting repeating transcripts.

Authors:  Matthew D Disney
Journal:  Drug Discov Today       Date:  2013-08-09       Impact factor: 7.851

10.  Discovering RNA-protein interactome by using chemical context profiling of the RNA-protein interface.

Authors:  Marc Parisien; Xiaoyun Wang; George Perdrizet; Corissa Lamphear; Carol A Fierke; Ketan C Maheshwari; Michael J Wilde; Tobin R Sosnick; Tao Pan
Journal:  Cell Rep       Date:  2013-05-09       Impact factor: 9.423

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