DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug–Target interaction prediction

Drug repurposing for COVID-19 via knowledge graph completion

(2021) Rui Zhang et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Minimum Free Energy Coding for DNA Storage

(2021) Ben Cao et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

ML-DTI: Mutual Learning Mechanism for Interpretable Drug–Target Interaction Prediction

(2021) Ziduo Yang et al.   Journal of Physical Chemistry Letters

Effectiveness of Covid-19 Vaccines against the B.1.617.2 (Delta) Variant

(2021) Jamie Lopez Bernal et al.   NEW ENGLAND JOURNAL OF MEDICINE

TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments

(2020) Lifan Chen et al.   BIOINFORMATICS

Drug-target interactions prediction using marginalized denoising model on heterogeneous networks

(2020) Chunyan Tang et al.   BMC BIOINFORMATICS

MolTrans: Molecular interaction transformer for drug target interaction prediction

(2020) Kexin Huang et al.   BIOINFORMATICS

DeepPurpose: a deep learning library for drug–target interaction prediction

(2020) Kexin Huang et al.   BIOINFORMATICS

DeepCDR: a hybrid graph convolutional network for predicting cancer drug response

(2020) Qiao Liu et al.   BIOINFORMATICS

In silico screening predicts common cold drug Dextromethorphan along with Prednisolone and Dexamethasone can be effective against novel Coronavirus disease (COVID-19)

(2020) Indrani Sarkar et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

The plausible mechanisms of tramadol for treatment of COVID-19

(2020) Nahla E. El-Ashmawy et al.   MEDICAL HYPOTHESES

DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences

(2019) Ingoo Lee et al.   PLoS Computational Biology

DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features

(2019) Yanyi Chu et al.   BRIEFINGS IN BIOINFORMATICS

NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions

(2018) Fangping Wan et al.   BIOINFORMATICS

OUP accepted manuscript

(2018)   BIOINFORMATICS

Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization

(2017) Ali Ezzat et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Deep-Learning-Based Drug–Target Interaction Prediction

(2017) Ming Wen et al.   JOURNAL OF PROTEOME RESEARCH

DrugBank 5.0: a major update to the DrugBank database for 2018

(2017) David S Wishart et al.   NUCLEIC ACIDS RESEARCH

PubChem BioAssay: 2017 update

(2016) Yanli Wang et al.   NUCLEIC ACIDS RESEARCH

The Next Era: Deep Learning in Pharmaceutical Research

(2016) Sean Ekins   PHARMACEUTICAL RESEARCH

DARC: Mapping Surface Topography by Ray-Casting for Effective Virtual Screening at Protein Interaction Sites

(2015) Ragul Gowthaman et al.   JOURNAL OF MEDICINAL CHEMISTRY

Deep Learning in Drug Discovery

(2015) Erik Gawehn et al.   Molecular Informatics

Drug target prediction using adverse event report systems: a pharmacogenomic approach

(2012) M. Takarabe et al.   BIOINFORMATICS

Diagnosing the decline in pharmaceutical R&D efficiency

(2012) Jack W. Scannell et al.   NATURE REVIEWS DRUG DISCOVERY

Kernel-based data fusion improves the drug–protein interaction prediction

(2011) Yong-Cui Wang et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Computer-aided drug discovery and development (CADDD): In silico-chemico-biological approach

(2006) I.M. Kapetanovic   CHEMICO-BIOLOGICAL INTERACTIONS