Publisher Correction: Network-based prediction of drug combinations

Artificial intelligence in COVID-19 drug repurposing

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A foundation model for clinician-centered drug repurposing

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MatchMaker: A Deep Learning Framework for Drug Synergy Prediction

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A review of artificial intelligence applications for antimicrobial resistance

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Network-based modeling of herb combinations in traditional Chinese medicine

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A Comprehensive Review of Computational Methods For Drug-Drug Interaction Detection

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GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction

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Machine learning approaches for drug combination therapies

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SAveRUNNER: A network-based algorithm for drug repurposing and its application to COVID-19

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Exploring the mechanism of TCM formulae in the treatment of different types of coronary heart disease by network pharmacology and machining learning

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Multi-way relation-enhanced hypergraph representation learning for anti-cancer drug synergy prediction

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Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing

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PRODeepSyn: predicting anticancer synergistic drug combinations by embedding cell lines with protein–protein interaction network

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DeepTraSynergy: drug combinations using multimodal deep learning with transformers

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Next-generation drug repurposing using human genetics and network biology

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The Clinical Kinase Index: A Method to Prioritize Understudied Kinases as Drug Targets for the Treatment of Cancer

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Clinical epigenetics settings for cancer and cardiovascular diseases: real-life applications of network medicine at the bedside

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Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery

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Comprehensive germline genomic profiles of children, adolescents and young adults with solid tumors

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Drug–drug similarity measure and its applications

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Current and prospective computational approaches and challenges for developing COVID-19 vaccines

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KGANSynergy: knowledge graph attention network for drug synergy prediction

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DeepDrug as an expert guided and AI driven drug repurposing methodology for selecting the lead combination of drugs for Alzheimer’s disease

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Deep learning and multi-omics approach to predict drug responses in cancer

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MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare

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An enhanced cascade-based deep forest model for drug combination prediction

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Signal Detection in Pharmacovigilance: A Review of Informatics-driven Approaches for the Discovery of Drug-Drug Interaction Signals in Different Data Sources

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Network-based drug repurposing for HPV-associated cervical cancer

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Similarity-based machine learning framework for predicting safety signals of adverse drug–drug interactions

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Systems Theory-Driven Framework for AI Integration into the Holistic Material Basis Research of Traditional Chinese Medicine

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Network-Based Analysis of Fatal Comorbidities of COVID-19 and Potential Therapeutics

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Deep learning identifies explainable reasoning paths of mechanism of action for drug repurposing from multilayer biological network

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Dual Attention and Patient Similarity Network for drug recommendation

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A network medicine approach for identifying diagnostic and prognostic biomarkers and exploring drug repurposing in human cancer

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CDCDB: A large and continuously updated drug combination database

Shtar, G., Azulay, L., Nizri, O., Rokach, L., & Shapira, B. (2022) · Scientific Data · doi:10.1038/s41597-022-01360-z · Cited by 33 · see citing works

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation

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Drug2ways: Reasoning over causal paths in biological networks for drug discovery

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Applications of Genome-Wide Screening and Systems Biology Approaches in Drug Repositioning

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Drug-target interactions prediction based on network topology feature representation embedded deep forest

Lian, M., Wang, X., & Du, W. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.126509 · Cited by 25 · see citing works

Optimized Combination of HDACI and TKI Efficiently Inhibits Metabolic Activity in Renal Cell Carcinoma and Overcomes Sunitinib Resistance

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Proteostasis and Proteotoxicity in the Network Medicine Era

Lualdi, M., Alberio, T., & Fasano, M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21176405 · Cited by 21 · see citing works

Incorporating Clinical, Chemical and Biological Information for Predicting Small Molecule-microRNA Associations Based on Non-Negative Matrix Factorization

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Network pharmacological prediction and molecular docking analysis of the combination of Atractylodes macrocephala Koidz. and Paeonia lactiflora Pall. in the treatment of functional constipation and its verification

Meng, Y., Li, X., Wang, X., Zhang, L., & Guan, J. (2022) · Animal Models and Experimental Medicine · doi:10.1002/ame2.12226 · Cited by 21 · see citing works

Medication Combination Prediction Using Temporal Attention Mechanism and Simple Graph Convolution

Wang, H., Wu, Y., Gao, C., et al. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3082548 · Cited by 20 · see citing works

Applications of machine learning approaches to combat COVID-19: A survey

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BETA: a comprehensive benchmark for computational drug–target prediction

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RECOVER identifies synergistic drug combinations in vitro through sequential model optimization

Bertin, P., Rector-Brooks, J., Sharma, D. K., Gaudelet, T., Anighoro, A., Groß, T., Martínez‐Peña, F., Tang, E. L., Suraj, M. S., Regep, C., et al. (2023) · Cell Reports Methods · doi:10.1016/j.crmeth.2023.100599 · Cited by 16 · see citing works

Structure-based drug repurposing against COVID-19 and emerging infectious diseases: methods, resources and discoveries

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Computational models, databases and tools for antibiotic combinations

Lv, J. Z., Liu, G., Hao, J., Ju, Y., Sun, B., & Sun, Y. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac309 · Cited by 17 · see citing works

A Middle-Out Modeling Strategy to Extend a Colon Cancer Logical Model Improves Drug Synergy Predictions in Epithelial-Derived Cancer Cell Lines

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Drug repositioning by merging active subnetworks validated in cancer and COVID-19

Lucchetta, M., & Pellegrini, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-99399-2 · Cited by 16 · see citing works

Integrating multi-source drug information to cluster drug-drug interaction network

Lv, J. Z., Liu, G., Ju, Y., Sun, B., Huang, H., & Sun, Y. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107088 · Cited by 16 · see citing works

A novel efficient drug repurposing framework through drug-disease association data integration using convolutional neural networks

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Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes

Islam, M. B., Chowdhury, U. N., Nain, Z., Uddin, S., Ahmed, M. B., & Moni, M. A. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104668 · Cited by 15 · see citing works

Molecular Interaction Networks and Cardiovascular Disease Risk: The Role of Food Bioactive Small Molecules

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AADB: A Manually Collected Database for Combinations of Antibiotics With Adjuvants

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DTSEA: A network-based drug target set enrichment analysis method for drug repurposing against COVID-19

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Complex graph neural networks for medication interaction verification

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High-throughput screening for drug discovery targeting the cancer cell-microenvironment interactions in hematological cancers

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Bioinformatics and system biology approaches to identify molecular pathogenesis of polycystic ovarian syndrome, type 2 diabetes, obesity, and cardiovascular disease that are linked to the progression of female infertility

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Coadministration of Compound Danshen dripping pills and bezafibrate has a protective effect against diabetic retinopathy

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Automated and miniaturized screening of antibiotic combinations via robotic-printed combinatorial droplet platform

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On the complexity of quantum link prediction in complex networks

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Baicalin: a potential therapeutic agent for acute kidney injury and renal fibrosis

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Computational modeling approaches and regulatory pathways for drug combinations

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Recent Advances in System Based Study for Anti-Malarial Drug Development Process

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Probing Synergistic Targets by Natural Compounds for Hepatocellular Carcinoma

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Human/SARS-CoV-2 genome-scale metabolic modeling to discover potential antiviral targets for COVID-19

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Identification of Drug Combination Therapies for SARS-CoV-2: A Molecular Dynamics Simulations Approach

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Pharmacological Approaches and Innovative Strategies for Individualized Patient Care

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Advancing network pharmacology with artificial intelligence: the next paradigm in traditional Chinese medicine

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Artificial intelligence in traditional Chinese medicine: from systems biological mechanism discovery, real-world clinical evidence inference to personalized clinical decision support

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Network medicine and artificial intelligence in cancer precision therapy: Path to prevent drug-induced toxic side effect

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CDCS-TCM: A framework based on complex network theory to analyze the causality and dynamic correlation of substances in the metabolic process of traditional Chinese medicine

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Simultaneous determination of Rosuvastatin calcium and Bempedoic acid in fixed-dose combination pharmaceutical dosage forms using RP-HPLC method

Hadawale, S., & Sharma, S. (2024) · Microchemical Journal · doi:10.1016/j.microc.2024.111418 · Cited by 7 · see citing works

Network Medicine: From Conceptual Frameworks to Applications and Future Trends

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Network Science and Machine Learning for Precision Nutrition

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DCGG: drug combination prediction using GNN and GAE

Ziaee, S. S., Rahmani, H., Tabatabaei, M., Vlot, A. H. C., & Bender, A. (2024) · Progress in Artificial Intelligence · doi:10.1007/s13748-024-00314-3 · Cited by 6 · see citing works

Predicting effective drug combinations for cancer treatment using a graph-based approach

Wang, Q., Liu, X., & Yan, G. (2024) · Synthetic and Systems Biotechnology · doi:10.1016/j.synbio.2024.09.003 · Cited by 6 · see citing works

A Transcriptome- and Interactome-Based Analysis Identifies Repurposable Drugs for Human Breast Cancer Subtypes

Conte, F., Sibilio, P., Fiscon, G., & Paci, P. (2022) · Symmetry · doi:10.3390/sym14112230 · Cited by 6 · see citing works

Identification of potential pan-coronavirus therapies using a computational drug repurposing platform

Hwang, W., & Han, N. (2021) · Methods · doi:10.1016/j.ymeth.2021.11.002 · Cited by 6 · see citing works

A Network-Based Analysis of Disease Modules From a Taxonomic Perspective

Grani, G., Madeddu, L., & Velardi, P. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3106787 · Cited by 6 · see citing works

Network analyses reveal new insights into the effect of multicomponent Tr14 compared to single-component diclofenac in an acute inflammation model

Hoch, M., Smita, S., Cesnulevicius, K., Schultz, M., Lescheid, D., Olaf Wolkenhauer, A., & Gupta, S. K. (2023) · Journal of Inflammation · doi:10.1186/s12950-023-00335-0 · Cited by 5 · see citing works

Discovery of the anti-influenza A virus activity of SB216763 and cyclosporine A by mining infected cells and compound cellular signatures

Tang, K., Wu, Y., Chen, S., Xin, Y., & Guo, Y. (2021) · Chinese Chemical Letters · doi:10.1016/j.cclet.2021.09.017 · Cited by 5 · see citing works

Predicting combinations of drugs by exploiting graph embedding of heterogeneous networks

Song, F., Tan, S., Dou, Z., et al. (2022) · BMC Bioinformatics · doi:10.1186/s12859-022-04567-4 · Cited by 5 · see citing works

Potential senotherapeutic candidates and their combinations derived from transcriptional connectivity and network measures

Rad, A. N., Shams, G., Avelar, R. A., Morowvat, M. H., & Ghasemi, Y. (2022) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2022.100920 · Cited by 5 · see citing works

MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach

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A comprehensive tool for tumor precision medicine with pharmaco-omics data analysis

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Integration of metabolomics and network pharmacology for enhancing mechanism understanding and medication combination recommendation for diabetes mellitus and diabetic nephropathy

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Time-stage driven pathfinding framework for optimized medical treatments

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Whole genome analysis and homology modeling of SARS-CoV-2 Indian isolate reveals potent FDA approved drug choice for treating COVID-19

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Universal multilayer network embedding reveals a causal link between GABA neurotransmitter and cancer

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Precision oncology informatics for anticancer drug combination responses: A systematic review

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Reconsideration of drug repurposing through artificial intelligence program for the treatment of the novel coronavirus

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Systems medicine framework for repurposable drug combinations for COVID-19 comorbidities

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