Cargando…

Synergistic and Antagonistic Drug Combinations Depend on Network Topology

Drug combinations may exhibit synergistic or antagonistic effects. Rational design of synergistic drug combinations remains a challenge despite active experimental and computational efforts. Because drugs manifest their action via their targets, the effects of drug combinations should depend on the...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yin, Ning, Ma, Wenzhe, Pei, Jianfeng, Ouyang, Qi, Tang, Chao, Lai, Luhua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2014
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3979733/ https://www.ncbi.nlm.nih.gov/pubmed/24713621 http://dx.doi.org/10.1371/journal.pone.0093960

Ejemplares similares

Robustness and modular design of the Drosophila segment polarity network
por: Ma, Wenzhe, et al.
Publicado: (2006)

Dynamic Simulations on the Arachidonic Acid Metabolic Network
por: Yang, Kun, et al.
Publicado: (2007)

Prediction of Drug-Likeness Using Deep Autoencoder Neural Networks
por: Hu, Qiwan, et al.
Publicado: (2018)

A combined computational and experimental strategy identifies mutations conferring resistance to drugs targeting the BCR-ABL fusion protein
por: Liu, Jinxin, et al.
Publicado: (2020)

Flux Balance Analysis of Ammonia Assimilation Network in E. coli Predicts Preferred Regulation Point
por: Wang, Lu, et al.
Publicado: (2011)

miDruglikeness: Subdivisional Drug-Likeness Prediction Models Using Active Ensemble Learning Strategies
por: Cai, Chenjing, et al.
Publicado: (2022)

Synergistic and Antagonistic Drug Combinations against SARS-CoV-2
por: Bobrowski, Tesia, et al.
Publicado: (2021)

Finding multiple target optimal intervention in disease-related molecular network
por: Yang, Kun, et al.
Publicado: (2008)

LigBuilder V3: A Multi-Target de novo Drug Design Approach
por: Yuan, Yaxia, et al.
Publicado: (2020)

Structure-based de novo drug design using 3D deep generative models
por: Li, Yibo, et al.
Publicado: (2021)

High-throughput matrix screening identifies synergistic and antagonistic antimalarial drug combinations
por: Mott, Bryan T., et al.
Publicado: (2015)

Combining genomic and network characteristics for extended capability in predicting synergistic drugs for cancer
por: Sun, Yi, et al.
Publicado: (2015)

Discovery of Synergistic and Antagonistic Drug Combinations against SARS-CoV-2 In Vitro
por: Bobrowski, Tesia, et al.
Publicado: (2020)

Five-Feature Model for Developing the Classifier for Synergistic vs. Antagonistic Drug Combinations Built by XGBoost
por: Ji, Xiangjun, et al.
Publicado: (2019)

The Combination of Antagonistic Drugs
Publicado: (1897)

Biomolecular Network-Based Synergistic Drug Combination Discovery
por: Li, Xiangyi, et al.
Publicado: (2016)

Synergistic and antagonistic drug interactions in the treatment of systemic fungal infections
por: Wambaugh, Morgan A, et al.
Publicado: (2020)

Herb-target interaction network analysis helps to disclose molecular mechanism of traditional Chinese medicine
por: Liang, Hao, et al.
Publicado: (2016)

Robust network topologies for temperature-inducible bioswitches
por: Wu, Di, et al.
Publicado: (2022)

Searching Synergistic Dose Combinations for Anticancer Drugs
por: Yin, Zuojing, et al.
Publicado: (2018)

Computational Chemical Synthesis Analysis and Pathway Design
por: Feng, Fan, et al.
Publicado: (2018)

Toward In Silico Design of Protein–Protein Interaction Stabilizers
por: Zhu, Jintao, et al.
Publicado: (2023)

Constructing network topologies for multiple signal-encoding functions
por: Wu, Lili, et al.
Publicado: (2019)

Prediction of Synergistic Drug Combinations for Prostate Cancer by Transcriptomic and Network Characteristics
por: Li, Shiqi, et al.
Publicado: (2021)

DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networks
por: Xu, Mengdie, et al.
Publicado: (2023)

Two Antagonistic Microtubule Targeting Drugs Act Synergistically to Kill Cancer Cells
por: Peronne, Lauralie, et al.
Publicado: (2020)

PRODeepSyn: predicting anticancer synergistic drug combinations by embedding cell lines with protein–protein interaction network
por: Wang, Xiaowen, et al.
Publicado: (2022)

The Topological Characteristics of Biological Ratio-Sensing Networks
por: Chen, Xinmao, et al.
Publicado: (2023)

Robust network topologies for generating oscillations with temperature-independent periods
por: Wu, Lili, et al.
Publicado: (2017)

Stimulus-dependent functional network topology in mouse visual cortex
por: Tang, Disheng, et al.
Publicado: (2023)

Topological network measures for drug repositioning
por: Badkas, Apurva, et al.
Publicado: (2020)

Drug combination sensitivity scoring facilitates the discovery of synergistic and efficacious drug combinations in cancer
por: Malyutina, Alina, et al.
Publicado: (2019)

Sequence-based prediction of protein protein interaction using a deep-learning algorithm
por: Sun, Tanlin, et al.
Publicado: (2017)

Automatic retrosynthetic route planning using template-free models
por: Lin, Kangjie, et al.
Publicado: (2020)

iDrug: a web-accessible and interactive drug discovery and design platform
por: Wang, Xia, et al.
Publicado: (2014)

Review of Predicting Synergistic Drug Combinations
por: Pan, Yichen, et al.
Publicado: (2023)

Network target for screening synergistic drug combinations with application to traditional Chinese medicine
por: Li, Shao, et al.
Publicado: (2011)

A novel network based linear model for prioritization of synergistic drug combinations
por: Li, Jiaqi, et al.
Publicado: (2022)

Developing an Agent-Based Drug Model to Investigate the Synergistic Effects of Drug Combinations
por: Gao, Hongjie, et al.
Publicado: (2017)

Visualizing single-molecule conformational transition and binding dynamics of intrinsically disordered proteins
por: Liu, Wenzhe, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_651c2e7cikkshpolmp8bs3ti8h