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Drug-drug interaction prediction

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DDI specifications

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Information

Unique identifier	OMICS_05550
Name	DDI
Alternative name	Drug-Drug Interactions
Software type	Package/Module
Interface	Command line interface
Restrictions to use	Academic or non-commercial use
Input data	Sentences
Output data	DDI
Operating system	Unix/Linux, Mac OS, Windows
Programming languages	Java
Computer skills	Advanced
Stability	Stable
Requirements	JDK
Maintained	Yes

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Publication for Drug-Drug Interactions

A novel feature-based approach to extract drug-drug interactions from biomedical text.

2014 Bioinformatics

PMID: 25143286

DDI in publications

(2)

Predicting and understanding comprehensive drug drug interactions via semi nonnegative matrix factorization

PMCID: 5907306

PMID: 29671393

DOI: 10.1186/s12918-018-0532-7

[…] a signed network, we design a novel model (ddinmf) for the prediction of enhancive and degressive ddis based on semi-nonnegative matrix factorization. inspiringly, ddinmf achieves the conventional ddi prediction (auroc = 0.872 and aupr = 0.605) and the comprehensive ddi prediction (auroc = 0.796 and aupr = 0.579). compared with two state-of-the-art approaches, ddinmf shows it superiority. […]

Drug Drug Interaction Extraction via Convolutional Neural Networks

PMCID: 4752975

PMID: 26941831

DOI: 10.1155/2016/6918381

[…] editor: liangjiang wang, drug-drug interaction (ddi) extraction as a typical relation extraction task in natural language processing (nlp) has always attracted great attention. most state-of-the-art ddi extraction systems are based on support […]

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DDI institution(s)

Department of Medical Informatics, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands; Informatics Institute, University of Amsterdam, Amsterdam, Netherlands; Complexity Institute, Nanyang Technological University, Singapore, Singapore; ITMO University, St. Petersburg, Russia

DDI funding source(s)

Supported by Russian Scientific Foundation, proposal #14-21-0037.

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