Cargando…

A Review of Approaches for Predicting Drug–Drug Interactions Based on Machine Learning

Drug–drug interactions play a vital role in drug research. However, they may also cause adverse reactions in patients, with serious consequences. Manual detection of drug–drug interactions is time-consuming and expensive, so it is urgent to use computer methods to solve the problem. There are two wa...

Descripción completa

Detalles Bibliográficos
Autores principales:	Han, Ke, Cao, Peigang, Wang, Yu, Xie, Fang, Ma, Jiaqi, Yu, Mengyao, Wang, Jianchun, Xu, Yaoqun, Zhang, Yu, Wan, Jie
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Pharmacology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835726/ https://www.ncbi.nlm.nih.gov/pubmed/35153767 http://dx.doi.org/10.3389/fphar.2021.814858

Ejemplares similares

Machine Learning in Antibacterial Drug Design
por: Jukič, Marko, et al.
Publicado: (2022)

Integrated Random Negative Sampling and Uncertainty Sampling in Active Learning Improve Clinical Drug Safety Drug–Drug Interaction Information Retrieval
por: Xie, Weixin, et al.
Publicado: (2021)

Limits of Prediction for Machine Learning in Drug Discovery
por: von Korff, Modest, et al.
Publicado: (2022)

Application of Physiologically Based Pharmacokinetic Modeling to Evaluate the Drug–Drug and Drug–Disease Interactions of Apatinib
por: Liu, Hongrui, et al.
Publicado: (2021)

Detection of potential drug-drug interactions for risk of acute kidney injury: a population-based case-control study using interpretable machine-learning models
por: Akimoto, Hayato, et al.
Publicado: (2023)

Revealing the dynamic landscape of drug-drug interactions through network analysis
por: Jeong, Eugene, et al.
Publicado: (2023)

Simulation and Machine Learning Methods for Ion-Channel Structure Determination, Mechanistic Studies and Drug Design
por: Zhu, Zhengdan, et al.
Publicado: (2022)

Drug–drug Interaction between Pravastatin and Gemfibrozil (Antihyperlipidemic) with Gliclazide (Antidiabetic) in Rats
por: Sultanpur, CM, et al.
Publicado: (2010)

Predicting Adverse Drug Events in Chinese Pediatric Inpatients With the Associated Risk Factors: A Machine Learning Study
por: Yu, Ze, et al.
Publicado: (2021)

Deep Learning Based Drug Metabolites Prediction
por: Wang, Disha, et al.
Publicado: (2020)

Potential drug-drug interaction of olverembatinib (HQP1351) using physiologically based pharmacokinetic models
por: Yu, Zhiheng, et al.
Publicado: (2022)

Risk of Drug-Drug Interactions in Out-Hospital Drug Dispensings in France: Results From the DRUG-Drug Interaction Prevalence Study
por: Létinier, Louis, et al.
Publicado: (2019)

Editorial: Drug-drug interactions in pharmacology
por: Pichini, Simona, et al.
Publicado: (2023)

Potential drug-drug interactions in drug therapy for older adults with chronic coronary syndrome at hospital discharge: A real-world study
por: Zhao, Mei, et al.
Publicado: (2022)

A Minimal Information Model for Potential Drug-Drug Interactions
por: Hochheiser, Harry, et al.
Publicado: (2021)

Detection of Synergistic Interaction on an Additive Scale Between Two Drugs on Abnormal Elevation of Serum Alanine Aminotransferase Using Machine-Learning Algorithms
por: Akimoto, Hayato, et al.
Publicado: (2022)

Identifying Drug Targets in Pancreatic Ductal Adenocarcinoma Through Machine Learning, Analyzing Biomolecular Networks, and Structural Modeling
por: Yan, Wenying, et al.
Publicado: (2020)

Opioid Drug-Drug-Drug Interactions and Unintentional Traumatic Injury: Screening to Detect Three-Way Drug Interaction Signals
por: Acton, Emily K., et al.
Publicado: (2022)

A Novel Approach for Drug-Target Interactions Prediction Based on Multimodal Deep Autoencoder
por: Wang, Huiqing, et al.
Publicado: (2020)

Hypoglycemia Associated With Drug–Drug Interactions in Patients With Type 2 Diabetes Mellitus Using Dipeptidylpeptidase-4 Inhibitors
por: Ray, Chin-Ying, et al.
Publicado: (2021)

Cytochrome P450-Based Drug-Drug Interactions of Vonoprazan In Vitro and In Vivo
por: Wang, Yiran, et al.
Publicado: (2020)

Adverse drug reactions and correlations with drug–drug interactions: A retrospective study of reports from 2011 to 2020
por: Jiang, Huaqiao, et al.
Publicado: (2022)

Dual Transcriptomic and Molecular Machine Learning Predicts all Major Clinical Forms of Drug Cardiotoxicity
por: Mamoshina, Polina, et al.
Publicado: (2020)

Predicting Drug-Induced Liver Injury Using Machine Learning on a Diverse Set of Predictors
por: Adeluwa, Temidayo, et al.
Publicado: (2021)

A review of SARS-CoV-2 drug repurposing: databases and machine learning models
por: Elkashlan, Marim, et al.
Publicado: (2023)

A novel deep learning segmentation model for organoid-based drug screening
por: Wang, Xiaowen, et al.
Publicado: (2022)

Analysis of Clinical Drug-Drug Interaction Data To Predict Magnitudes of Uncharacterized Interactions between Antiretroviral Drugs and Comedications
por: Stader, Felix, et al.
Publicado: (2018)

Screening for severe drug-drug interactions in patients with multiple sclerosis: A comparison of three drug interaction databases
por: Hecker, Michael, et al.
Publicado: (2022)

Drug-Drug Interactions at Organic Cation Transporter 1
por: Zhou, Shiwei, et al.
Publicado: (2021)

Berberine Facilitates Extinction of Drug-Associated Behavior and Inhibits Reinstatement of Drug Seeking
por: Shen, Xi, et al.
Publicado: (2020)

A Comparative Study of Cluster Detection Algorithms in Protein–Protein Interaction for Drug Target Discovery and Drug Repurposing
por: Ma, Jun, et al.
Publicado: (2019)

An LC-MS/MS method for the simultaneous determination of 18 antibacterial drugs in human plasma and its application in therapeutic drug monitoring
por: Lu, Wei, et al.
Publicado: (2022)

Delamanid Coadministered with Antiretroviral Drugs or Antituberculosis Drugs Shows No Clinically Relevant Drug-Drug Interactions in Healthy Subjects
por: Mallikaarjun, Suresh, et al.
Publicado: (2016)

Detecting drug-drug interactions between therapies for COVID-19 and concomitant medications through the FDA adverse event reporting system
por: Jeong, Eugene, et al.
Publicado: (2022)

A tricarboxylic acid cycle-based machine learning model to select effective drug targets for the treatment of esophageal squamous cell carcinoma
por: Liang, Yicheng, et al.
Publicado: (2023)

Detection of pediatric drug-induced kidney injury signals using a hospital electronic medical record database
por: Yu, Yuncui, et al.
Publicado: (2022)

Prediction of the Drug–Drug Interaction Types with the Unified Embedding Features from Drug Similarity Networks
por: Yan, Xiao-Ying, et al.
Publicado: (2021)

Synthetic Biology Speeds Up Drug Target Discovery
por: Xie, Yixuan, et al.
Publicado: (2020)

Rational use of drugs for the elderly during the COVID-19 pandemic in China: Challenges and opportunities
por: Yin, Qingqing, et al.
Publicado: (2023)

Generalizability of machine learning methods in detecting adverse drug events from clinical narratives in electronic medical records
por: Zitu, Md Muntasir, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_eell8gp3jscv18rfqdq7pbhbmp