Efficient prediction of drug–drug interaction using deep learning models

Multi-objective differential evolution based random forest for e-health applications

(2019) Manjit Kaur et al.   MODERN PHYSICS LETTERS B

Machine learning on adverse drug reactions for pharmacovigilance

(2019) Chun Yen Lee et al.   DRUG DISCOVERY TODAY

Predicting Drug-Target Interaction Network Using Deep Learning Model

(2019) Jiaying You et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Mining Conditions Specific Hub Genes from RNA-Seq Gene Expression Data via Biclustering and its Application to Drug Discovery

(2019) ANKUSH MAIND et al.   IET Systems Biology

Sliding mode controller–observer pair for p53 pathway

(2019) Muhammad Rizwan Azam et al.   IET Systems Biology

Drug Repositioning via Matrix Completion with Multi-view Side Information

(2019) Limin Li et al.   IET Systems Biology

Predicting Synergism of Cancer Drug Combinations Using NCI-ALMANAC Data

(2019) Pavel Sidorov et al.   Frontiers in Chemistry

SFLLN: A sparse feature learning ensemble method with linear neighborhood regularization for predicting drug–drug interactions

(2019) Wen Zhang et al.   INFORMATION SCIENCES

Position-aware deep multi-task learning for drug–drug interaction extraction

(2018) Deyu Zhou et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Improved Particle Swarm Optimization Based Adaptive Neuro-Fuzzy Inference System for Benzene Detection

(2018) Husanbir S. Pannu et al.   CLEAN-Soil Air Water

Robust adaptive Lyapunov-based control of hepatitis B infection

(2018) Omid Aghajanzadeh et al.   IET Systems Biology

A meta-learning framework using representation learning to predict drug-drug interaction

(2018) S.S. Deepika et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Leveraging Biomedical Resources in Bi-LSTM for Drug-Drug Interaction Extraction

(2018) Bo Xu et al.   IEEE Access

Flatness-based control approach to drug infusion for cardiac function regulation

(2017) Gerasimos Rigatos et al.   IET Systems Biology

Investigating receptor enzyme activity using time-scale analysis

(2015) Tao You et al.   IET Systems Biology

Dynamic model of eicosanoid production with special reference to non-steroidal anti-inflammatory drug-triggered hypersensitivity

(2015) Aleš Fajmut et al.   IET Systems Biology

Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic

(2014) Shobeir Fakhraei et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

MPGraph: multi-view penalised graph clustering for predicting drug–target interactions

(2014) Limin Li   IET Systems Biology

Constant drug dose in human immuno-deficiency virus-infected patients to induce long-term non-progressor status: bifurcation and controllability approach

(2013) Wonhee Kim et al.   IET Systems Biology

Drug repositioning framework by incorporating functional information

(2013) Zikai Wu et al.   IET Systems Biology

Regulating the quorum sensing signalling circuit to control bacterial virulence: in silico analysis

(2011) I.G. Karafyllidis   IET Systems Biology

A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method

(2011) Hui-Ling Chen et al.   KNOWLEDGE-BASED SYSTEMS

Cell-penetrating peptides, electroporation and drug delivery

(2010) K. Cahill   IET Systems Biology

Detecting drug targets with minimum side effects in metabolic networks

(2009) Z. Li et al.   IET Systems Biology

Chemotherapy may be delivered based on an integrated view of tumour dynamics

(2009) B. Ribba et al.   IET Systems Biology

Modelling and analysis of the sugar cataract development process using stochastic hybrid systems

(2009) D. Riley et al.   IET Systems Biology

Network integration and graph analysis in mammalian molecular systems biology

(2008) A. Ma'ayan   IET Systems Biology

A general soft method for learning SVM classifiers with -norm penalty

(2007) Qing Tao et al.   PATTERN RECOGNITION