Literature DB >> 16170048

McMaster University data-mining and docking competition: computational models on the catwalk.

Christian N Parker1.   

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Year:  2005        PMID： 16170048     DOI： 10.1177/1087057105281268

Source DB:  PubMed          Journal:  J Biomol Screen        ISSN： 1087-0571


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  4 in total

Review 1.  Cheminformatics analysis and learning in a data pipelining environment.

Authors:  Moises Hassan; Robert D Brown; Shikha Varma-O'brien; David Rogers
Journal:  Mol Divers       Date:  2006-09-22       Impact factor: 2.943

2.  Influence relevance voting: an accurate and interpretable virtual high throughput screening method.

Authors:  S Joshua Swamidass; Chloé-Agathe Azencott; Ting-Wan Lin; Hugo Gramajo; Shiou-Chuan Tsai; Pierre Baldi
Journal:  J Chem Inf Model       Date:  2009-04       Impact factor: 4.956

3.  Accurate and efficient target prediction using a potency-sensitive influence-relevance voter.

Authors:  Alessandro Lusci; Michael Browning; David Fooshee; Joshua Swamidass; Pierre Baldi
Journal:  J Cheminform       Date:  2015-12-29       Impact factor: 5.514

Review 4.  Virtual ligand screening: strategies, perspectives and limitations.

Authors:  Gerhard Klebe
Journal:  Drug Discov Today       Date:  2006-07       Impact factor: 7.851
  4 in total

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