Corrigendum: Network-based prediction of anti-cancer drug combinations

Jiang, Jue; Wei, Xuxu; Lu, YuKang; Li, Simin; Xu, Xue

doi:10.3389/fphar.2024.1495634

CORRECTION article

Front. Pharmacol., 04 November 2024

Sec. Pharmacology of Anti-Cancer Drugs

Volume 15 - 2024 | https://doi.org/10.3389/fphar.2024.1495634

Corrigendum: Network-based prediction of anti-cancer drug combinations

This article is a correction to:

Network-based prediction of anti-cancer drug combinations
1. Read original article

Jue Jiang¹^†

Xuxu Wei²^†

YuKang Lu¹

Simin Li¹

Xue Xu¹*

¹School of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei, China
²Key Laboratory of Chinese Internal Medicine of Ministry of Education, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China

A Corrigendum on
Network-based prediction of anti-cancer drug combinations

by Jiang J, Wei X, Lu Y, Li S and Xu X (2024). Front. Pharmacol. 15:1418902. doi: 10.3389/fphar.2024.1418902

In the published article, there was an error. In the Formula used to define the target community of drug X, some symbols were not properly displayed. Additionally, the description of the parameter α was missing.

A correction has been made to 2 Materials and methods, 2.4 Drug combination prediction in cancer-specific network, Paragraph 2. This sentence previously stated:

“ C_{X} = \{C_{j} | C_{j} \cap T_{X} | \geq \min (α, β, | C_{j} |), | C_{j} | \geq γ, C_{j} \in C\}

Where $C_{X}$ represents the community hit by the drug X, $C_{j}$ is the community within $G_{c a}$ , $T_{X}$ is the target set hit by the drug X. $β$ is a constant between 0 and 1, representing what proportion of drug targets in a community can be considered to hit the community.”

The corrected sentence appears below:

“ C_{X} = \{C_{j} │ | C_{j} \cap T_{X} | \geq \min (α, β | C_{j} |), | C_{j} | \geq γ, C_{j} \in C\}

Where $C_{X}$ represents the community hit by the drug X, $C_{j}$ is the community within $G_{c a}$ , $T_{X}$ is the target set hit by the drug X. $α$ (greater than 0) represents the number of targets within the community that the drug must hit, while $β$ (between 0 and 1) representing the proportion of drug targets that must be hit for the community to be considered as hit.”

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.

Keywords: cancer, drug combination, protein-protein interaction network, network proximity, community detection

Citation: Jiang J, Wei X, Lu Y, Li S and Xu X (2024) Corrigendum: Network-based prediction of anti-cancer drug combinations. Front. Pharmacol. 15:1495634. doi: 10.3389/fphar.2024.1495634

Received: 13 September 2024; Accepted: 14 October 2024;
Published: 04 November 2024.

Edited and reviewed by:

Zdeněk Kejík, Charles University, Czechia

Copyright © 2024 Jiang, Wei, Lu, Li and Xu. 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: Xue Xu, eHV4dWU3ODc5QGdtYWlsLmNvbQ==

^†These authors have contributed equally to this work

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.