Finding the Ion in the RNA-Stack: Can Computational Models Accurately Predict Key Functional Elements in Large Macromolecular Complexes?
Author:
Affiliation:
1. European Molecular Biology Laboratory (EMBL) Grenoble, 71 Avenue des Martyrs, Grenoble 38042, France
2. Laboratory of Molecular Modelling & Drug Discovery, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genoa, Italy
Funder
Associazione Italiana per la Ricerca sul Cancro
Fondation ARC pour la Recherche sur le Cancer
Agence Nationale de Recherche sur le Sida et les h??patites virales
FRISBI
Agence Nationale de la Recherche
GRAL
Grenoble Instruct Center
ITMO Cancer
Publisher
American Chemical Society (ACS)
Subject
Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.1c00572
Reference24 articles.
1. Catalytic Metal Ions and Enzymatic Processing of DNA and RNA
2. Role of Molecular Dynamics and Related Methods in Drug Discovery
3. Evidence for a group II intron–like catalytic triplex in the spliceosome
4. Now on display: a gallery of group II intron structures at different stages of catalysis
5. Metal–ligand interactions in drug design
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1. On the Power and Challenges of Atomistic Molecular Dynamics to Investigate RNA Molecules;Journal of Chemical Theory and Computation;2024-08-16
2. Targeting the conserved active site of splicing machines with specific and selective small molecule modulators;Nature Communications;2024-06-19
3. Principles of ion binding to RNA inferred from the analysis of a 1.55 Å resolution bacterial ribosome structure – Part I: Mg2+;2024-04-08
4. Targeting the conserved active site of splicing machines with specific and selective small molecule modulators;2023-06-22
5. Group II Introns: Highly Structured yet Dynamic;CHIMIA;2023-04-26
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