Predicting drug–target interaction using positive-unlabeled learning
Identifying interactions between drug compounds and target proteins is an important
process in drug discovery. It is time-consuming and expensive to determine interactions …
process in drug discovery. It is time-consuming and expensive to determine interactions …
DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions
Abstract Background Drug-drug interactions (DDIs) are a major concern in patients'
medication. It's unfeasible to identify all potential DDIs using experimental methods which …
medication. It's unfeasible to identify all potential DDIs using experimental methods which …
A convolutional neural network system to discriminate drug-target interactions
SS Hu, DN Xia, B Su, P Chen… - IEEE/ACM transactions …, 2019 - ieeexplore.ieee.org
Biological targets are most commonly proteins such as enzymes, ion channels, and
receptors. They are anything within a living organism to bind with some other entities (like an …
receptors. They are anything within a living organism to bind with some other entities (like an …
A computational-based method for predicting drug–target interactions by using stacked autoencoder deep neural network
Identifying the interaction between drugs and target proteins is an important area of drug
research, which provides a broad prospect for low-risk and faster drug development …
research, which provides a broad prospect for low-risk and faster drug development …
Drug-target interaction prediction: end-to-end deep learning approach
NRC Monteiro, B Ribeiro… - IEEE/ACM transactions on …, 2020 - ieeexplore.ieee.org
The discovery of potential Drug-Target Interactions (DTIs) is a determining step in the drug
discovery and repositioning process, as the effectiveness of the currently available antibiotic …
discovery and repositioning process, as the effectiveness of the currently available antibiotic …
Drug target group prediction with multiple drug networks
J Che, L Chen, ZH Guo, S Wang - Combinatorial Chemistry & …, 2020 - ingentaconnect.com
Background: Identification of drug-target interaction is essential in drug discovery. It is
beneficial to predict unexpected therapeutic or adverse side effects of drugs. To date …
beneficial to predict unexpected therapeutic or adverse side effects of drugs. To date …
Screening drug-target interactions with positive-unlabeled learning
L Peng, W Zhu, B Liao, Y Duan, M Chen, Y Chen… - Scientific reports, 2017 - nature.com
Identifying drug-target interaction (DTI) candidates is crucial for drug repositioning. However,
usually only positive DTIs are deposited in known databases, which challenges …
usually only positive DTIs are deposited in known databases, which challenges …
Drug–target interaction prediction: databases, web servers and computational models
Identification of drug–target interactions is an important process in drug discovery. Although
high-throughput screening and other biological assays are becoming available …
high-throughput screening and other biological assays are becoming available …
Identification of drug-target interactions via multiple information integration
Abstract Identifying Drug-Target Interactions (DTIs) is an important process in drug
discovery. Traditional experimental methods are expensive and time-consuming for …
discovery. Traditional experimental methods are expensive and time-consuming for …
Prediction of drug–target interactions based on network representation learning and ensemble learning
Identifying interactions between drugs and target proteins is a critical step in the drug
development process, as it helps identify new targets for drugs and accelerate drug …
development process, as it helps identify new targets for drugs and accelerate drug …