DeepDTIs specifications

Information


Unique identifier OMICS_16768
Name DeepDTIs
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
License GNU Lesser General Public License version 3.0
Computer skills Advanced
Stability Stable
Requirements
theano
Maintained Yes

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Versioning


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Documentation


Maintainer


  • person_outline Hongmei Lu

Publication for DeepDTIs

DeepDTIs citation

library_books

Opportunities and obstacles for deep learning in biology and medicine

2018
PMCID: 5938574
PMID: 29618526
DOI: 10.1098/rsif.2017.0387

[…] t interaction network and used these models to predict novel interactions pointing to new indications for existing drugs. Wen et al. [] extended this concept to deep learning by creating a DBN called DeepDTIs, which predicts interactions using chemical structure and protein sequence features.Drug repositioning appears an obvious candidate for deep learning both because of the large amount of high- […]

DeepDTIs institution(s)
College of Chemistry and Chemical Engineering, Central South University, Changsha, China; Institute of Environment and Plant Protection, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
DeepDTIs funding source(s)
Supported by the National Natural Science Foundation of China (Grant No. 81402853, 21175157, 21375151 and 21305163) and by the Fundamental Research Funds for the Central University of Central South University (Grants No. 2015zzts163).

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