This article is a correction to:
Nucleotide-Induced Conformational Dynamics in ABC Transporters from Structure-Based Coarse Grained Modeling
Genki Shino
Shoji Takada*- Department of Biophysics, Graduate School of Science, Kyoto University, Kyoto, Japan
A Corrigendum on
Modeling DNA Opening in the Eukaryotic Transcription Initiation Complexes via Coarse-Grained Models
by Shino, G. and Takada, S. (2021). Front. Mol. Biosci. 8:772486. doi: 10.3389/fmolb.2021.772486
In the original article, we did not include the Funding Information. “This work was supported by the Ministry of Education, Culture, Sport, Science, and Technology (MEXT) grant JPMXP1020200101 as “Program for Promoting Researches on the Supercomputer Fugaku” (ST), by the Japan Science and Technology Agency (JST) grant (JPMJCR1762) (ST), and by Japan Society for the Promotion of Science (Award number(s): 20H05934, 21H02441).”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: transcription, eukaryotes, protein-DNA complex, DNA opening, molecular dynamics simulation
Citation: Shino G and Takada S (2021) Corrigendum: Modeling DNA Opening in the Eukaryotic Transcription Initiation Complexes via Coarse-Grained Models. Front. Mol. Biosci. 8:817343. doi: 10.3389/fmolb.2021.817343
Received: 18 November 2021; Accepted: 19 November 2021;
Published: 07 December 2021.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2021 Shino and Takada. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Shoji Takada, dGFrYWRhQGJpb3BoeXMua3lvdG8tdS5hYy5qcA==