相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Effective drug combinations in breast, colon and pancreatic cancer cells
Patricia Jaaks et al.
NATURE (2022)
A review of machine learning approaches for drug synergy prediction in cancer
Anna Torkamannia et al.
BRIEFINGS IN BIOINFORMATICS (2022)
Anti-cancer peptide-based therapeutic strategies in solid tumors
Mohsen Karami Fath et al.
CELLULAR & MOLECULAR BIOLOGY LETTERS (2022)
SYNPRED: prediction of drug combination effects in cancer using different synergy metrics and ensemble learning
Antonio J. Preto et al.
GIGASCIENCE (2022)
Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Hyuna Sung et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2021)
TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations
Qiao Liu et al.
PLOS COMPUTATIONAL BIOLOGY (2021)
ScaffComb: A Phenotype-Based Framework for Drug Combination Virtual Screening in Large-Scale Chemical Datasets
Zhaofeng Ye et al.
ADVANCED SCIENCE (2021)
Systematic prediction of drug resistance caused by transporter genes in cancer cells
Yao Shen et al.
SCIENTIFIC REPORTS (2021)
Artificial intelligence and machine learning methods in predicting anti-cancer drug combination effects
Kunjie Fan et al.
BRIEFINGS IN BIOINFORMATICS (2021)
Editorial: Novel Combination Therapies for the Treatment of Solid Cancers
Nehad M. Ayoub
FRONTIERS IN ONCOLOGY (2021)
Deep learning in business analytics and operations research: Models, applications and managerial implications
Mathias Kraus et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)
Efficacy and safety of anticancer drug combinations: a meta-analysis of randomized trials with a focus on immunotherapeutics and gene-targeted compounds
Denis L. Jardim et al.
ONCOIMMUNOLOGY (2020)
Survey of drug resistance associated gene mutations in Mycobacterium tuberculosis, ESKAPE and other bacterial species
Abhirupa Ghosh et al.
Scientific Reports (2020)
Editorial: In silico Methods for Drug Design and Discovery
Simone Brogi et al.
FRONTIERS IN CHEMISTRY (2020)
Stratification and prediction of drug synergy based on target functional similarity
Mi Yang et al.
NPJ SYSTEMS BIOLOGY AND APPLICATIONS (2020)
Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells
Brent M. Kuenzi et al.
CANCER CELL (2020)
Deep graph embedding for prioritizing synergistic anticancer drug combinations
Peiran Jiang et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2020)
A comprehensive review of deep learning in colon cancer
Ishak Pacal et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
Driver network as a biomarker: systematic integration and network modeling of multi-omics data to derive driver signaling pathways for drug combination prediction
Lei Huang et al.
BIOINFORMATICS (2019)
Ultrastructural and optical characteristics of cancer cells treated by a nanotechnology based chemo-photothermal therapy method
Zahra Alamzadeh et al.
JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B-BIOLOGY (2019)
3In-silico Prediction of Synergistic Anti-Cancer Drug Combinations Using Multi-omics Data
Remzi Celebi et al.
SCIENTIFIC REPORTS (2019)
Predicting Synergism of Cancer Drug Combinations Using NCI-ALMANAC Data
Pavel Sidorov et al.
FRONTIERS IN CHEMISTRY (2019)
Drug resistance and combating drug resistance in cancer
Xuan Wang et al.
CANCER DRUG RESISTANCE (2019)
Network Propagation Predicts Drug Synergy in Cancers
Hongyang Li et al.
CANCER RESEARCH (2018)
Predicting tumor cell line response to drug pairs with deep learning
Fangfang Xia et al.
BMC BIOINFORMATICS (2018)
Evolution of Cancer Pharmacological Treatments at the Turn of the Third Millennium
Luca Falzone et al.
FRONTIERS IN PHARMACOLOGY (2018)
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning
Kristina Preuer et al.
BIOINFORMATICS (2018)
Computational prediction of drug-drug interactions based on drugs functional similarities
Reza Ferdousi et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2017)
Cancer prevention from the perspective of global cancer burden patterns
Hiroki Nagai et al.
JOURNAL OF THORACIC DISEASE (2017)
Predicting neurological Adverse Drug Reactions based on biological, chemical and phenotypic properties of drugs using machine learning models
Salma Jamal et al.
SCIENTIFIC REPORTS (2017)
Prediction of synergistic anti-cancer drug combinations based on drug target network and drug induced gene expression profiles
Xiangyi Li et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2017)
The National Cancer Institute ALMANAC: A Comprehensive Screening Resource for the Detection of Anticancer Drug Pairs with Enhanced Therapeutic Activity
Susan L. Holbeck et al.
CANCER RESEARCH (2017)
A Landscape of Pharmacogenomic Interactions in Cancer
Francesco Iorio et al.
CELL (2016)
DrugMiner: comparative analysis of machine learning algorithms for prediction of potential druggable proteins
Ali Akbar Jamali et al.
DRUG DISCOVERY TODAY (2016)
Combining genomic and network characteristics for extended capability in predicting synergistic drugs for cancer
Yi Sun et al.
NATURE COMMUNICATIONS (2015)
COSMIC: exploring the world's knowledge of somatic mutations in human cancer
Simon A. Forbes et al.
NUCLEIC ACIDS RESEARCH (2015)
Analysis of drug combinations: current methodological landscape
Julie Foucquier et al.
PHARMACOLOGY RESEARCH & PERSPECTIVES (2015)
DrugComboRanker: drug combination discovery based on target network analysis
Lei Huang et al.
BIOINFORMATICS (2014)
A community computational challenge to predict the activity of pairs of compounds
Mukesh Bansal et al.
NATURE BIOTECHNOLOGY (2014)
Apoptosis and Molecular Targeting Therapy in Cancer
Mohamed Hassan et al.
BIOMED RESEARCH INTERNATIONAL (2014)
HMDB: the human metabolome database
David S. Wishart et al.
NUCLEIC ACIDS RESEARCH (2007)
DrugBank: a comprehensive resource for in silico drug discovery and exploration
David S. Wishart et al.
NUCLEIC ACIDS RESEARCH (2006)
Identification of genes with differential expression in acquired drug-resistant gastric cancer cells using high-density oligonucleotide microarrays
HC Kang et al.
CLINICAL CANCER RESEARCH (2004)
Similarity-based approaches to virtual screening
P Willett
BIOCHEMICAL SOCIETY TRANSACTIONS (2003)
STRING: a database of predicted functional associations between proteins
C von Mering et al.
NUCLEIC ACIDS RESEARCH (2003)