Essentiality and Transcriptome-Enriched Pathway Scores Predict Drug-Combination Synergy
In the prediction of the synergy of drug combinations, systems pharmacology models expand the scope of experiment screening and overcome the limitations of current computational models posed by their lack of mechanical interpretation and integration of gene essentiality. We therefore investigated th...
Main Authors: | Jin Li, Yang Huo, Xue Wu, Enze Liu, Zhi Zeng, Zhen Tian, Kunjie Fan, Daniel Stover, Lijun Cheng, Lang Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
|
Series: | Biology |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-7737/9/9/278 |
Similar Items
-
Systematic Prediction of Antifungal Drug Synergy by Chemogenomic Screening in Saccharomyces cerevisiae
by: Hamid Gaikani, et al.
Published: (2021-07-01) -
Transcriptomic Signatures Predict Regulators of Drug Synergy and Clinical Regimen Efficacy against Tuberculosis
by: Shuyi Ma, et al.
Published: (2019-11-01) -
An Introduction to Terminology and Methodology of Chemical Synergy—Perspectives from Across Disciplines
by: Alison A. Motsinger-Reif, et al.
Published: (2017-04-01) -
RNA-Seq Transcriptome Analysis of Potato with Differential Tolerance to Bentazone Herbicide
by: Jing Guo, et al.
Published: (2021-05-01) -
Transcriptomic responses of Serratia liquefaciens cells grown under simulated Martian conditions of low temperature, low pressure, and CO2-enriched anoxic atmosphere
by: Patricia Fajardo-Cavazos, et al.
Published: (2018-10-01)