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URL: https://www.genome.jp/tools/dinies/
Proper Citation: DINIES (RRID:SCR_016505)
Description: Web server for predicting unknown drug-target interaction networks from various types of biological data in the framework of supervised network inference.
Abbreviations: DINIES
Synonyms: Drug target Interaction Network Inference Engine based on Supervised analysis
Resource Type: data analysis software, data processing software, sequence analysis software, software application, software resource, web application
Defining Citation: PMID:24838565
Keywords: predict, drug, target, interaction, network, biological, data, chemical, structure, protein, amino acid, sequence, domain, bio.tools
Funding: Ministry of Education ; Culture ; Sports ; Science and Technology of Japan ; the Japan Science and Technology Agency ; the Japan Society for the Promotion of Science
Availability: Free, Freely available
Resource Name: DINIES
Resource ID: SCR_016505
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
