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http://doi.org/10.1021/acs.jproteome.6b00618 (http://pubs.acs.org/doi/abs/10.1021/acs.jproteome.6b00618)
> Identifying interactions between known drugs and targets is a major challenge in drug repo…
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Hi Chris and team,
Sebastian from Andrew Su's lab here. We have been working out a set of drug to disease relations which we plan on integrating into Wikidata. As far as I could see, such terms do …
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How to model drug-drug interaction in PK-Sim 6
[…
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As research upon agents that target DNA sequences progress, there is possibility for confusion for users on whether the notion of drug-gene interactions refers to an interaction between a drug and a g…
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Title: A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing
## Please paste a link to the paper or a citation here:
Link: https://www.biorxi…
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I read your paper "Deep learning-based drug-target interaction prediction". It make me interested to use deep belief nets to predict drug-target interaction. And I use tensorflow to implement deep bel…
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Hi:
Great work !
But i'am little confused when use the code and file provided.
> In total, we extracted 551 drugs with 1915 known targets (702 unique targets, 3.48 targets per drug on average).
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**Source Name:**
Drug-Gene Interaction database (DGIdb)
**Source Data Description:**
Using a combination of expert curation and text-mining, DGIdb mines drug-gene interactions from sources inc…
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DGIdb is a drug-gene interaction database http://www.dgidb.org/
Would allow users to find drugs that potentially target their gene of interest.
Has an API too
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This is mostly the results and discussion on the drugbank dataset (and a set of issues to improve the results) than a stand-alone issue.
To reproduce the results run the following command
``` bash
x…