(Q28484071)

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Why open drug discovery needs four simple rules for licensing data and models

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scholarly article

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title

Why open drug discovery needs four simple rules for licensing data and models (English)

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main subject

drug discovery

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open-source drug discovery

1 reference

1

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Sean Ekins

series ordinal

3

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John Wilbanks

series ordinal

2

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language of work or name

English

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publication date

2012

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published in

PLOS Computational Biology

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volume

8

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issue

9

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page(s)

e1002706

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copyright license

Creative Commons Attribution 4.0 International

start time

27 September 2012

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April 2022 Public Data File from Crossref

copyright status

copyrighted

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cites work

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19 March 2017

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Using Open Source Computational Tools for Predicting Human Metabolic Stability and Additional Absorption, Distribution, Metabolism, Excretion, and Toxicity Properties

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Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration

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19 March 2017

Towards a gold standard: regarding quality in public domain chemistry databases and approaches to improving the situation

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Developing predictive molecular maps of human disease through community-based modeling

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A quality alert and call for improved curation of public chemistry databases

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Precompetitive preclinical ADME/Tox data: set it free on the web to facilitate computational model building and assist drug development

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Mobile apps for chemistry in the world of drug discovery

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Life sciences on the Semantic Web: the Neurocommons and beyond

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ACToR — Aggregated Computational Toxicology Resource

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retrieved

27 November 2018

Identifiers

DOI

10.1371/JOURNAL.PCBI.1002706

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DBLP publication ID

journals/ploscb/WilliamsWE12

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stated in

DBLP Dataset 2021-01-02

retrieved

28 January 2021

PMC publication ID

3459841

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PubMed publication ID

23028298

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ResearchGate publication ID

231742912

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(Q28484071)

Why open drug discovery needs four simple rules for licensing data and models

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