The originally published article contained an error in the Funding statement. The grant number for the funding provided by the Tokyo Denki University Science Promotion Fund was incorrectly presented as “Q13L-03”; the correct grant number is “Q21L-03”.
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.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
GPCR, protein-protein interaction, membrane protein, disease-associated mutation, machine learning, web service, prediction, bioinformatics
Citation
Nemoto W, Yamanishi Y, Limviphuvadh V, Fujishiro S, Shimamura S, Fukushima A and Toh H (2022) Corrigendum: A Web Server for GPCR-GPCR Interaction Pair Prediction. Front. Endocrinol. 13:944910. doi: 10.3389/fendo.2022.944910
Received
16 May 2022
Accepted
17 May 2022
Published
01 June 2022
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
13 - 2022
Updates
Copyright
© 2022 Nemoto, Yamanishi, Limviphuvadh, Fujishiro, Shimamura, Fukushima and Toh.
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: Wataru Nemoto, w.nemoto@mail.dendai.ac.jp
This article was submitted to Molecular and Structural Endocrinology, a section of the journal Frontiers in Endocrinology
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.