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In silico profiling of systemic effects of drugs to predict unexpected interactions

In silico profiling of systemic effects of drugs to predict unexpected interactions

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5785495

In silico profiling of systemic effects of drugs to predict unexpected interactions

About this item

Full title

In silico profiling of systemic effects of drugs to predict unexpected interactions

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2018-01, Vol.8 (1), p.1612-15, Article 1612

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Identifying unexpected drug interactions is an essential step in drug development. Most studies focus on predicting whether a drug pair interacts or is effective on a certain disease without considering the mechanism of action (MoA). Here, we introduce a novel method to infer effects and interactions of drug pairs with MoA based on the profiling of...

Alternative Titles

Full title

In silico profiling of systemic effects of drugs to predict unexpected interactions

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5785495

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5785495

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-018-19614-5

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