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The DINGO dataset: a comprehensive set of data for the SAMPL challenge
Part of the latest SAMPL challenge was to predict how a small fragment library of 500 commercially available compounds would bind to a protein target. In order to assess the modellers’ work, a reasonably comprehensive set of data was collected using a number of techniques. These included surface pla...
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| Hoofdauteurs: | , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Springer Netherlands
2011
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3382646/ https://ncbi.nlm.nih.gov/pubmed/22187139 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10822-011-9521-2 |
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