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Journal of Chemical Information and Computer Sciences
|
July 27, 2004
On the stability of CoMFA models
James L Melville, Jonathan D Hirst
Journal of Chemical Information and Modeling
|
March 27, 2007
TMACC: interpretable correlation descriptors for quantitative structure-activity relationships
James L Melville, Jonathan D Hirst
Journal of Chemical Information and Modeling
|
April 29, 2009
Better than random? The chemotype enrichment problem
Mark D Mackey, James L Melville
Journal of Computer-Aided Molecular Design
|
November 6, 2009
Molecular docking and QSAR of aplyronine A and analogues: potent inhibitors of actin
Abrar Hussain, James L Melville, Jonathan D Hirst
Biometrics
|
April 24, 2007
Statistical analysis of unlabeled point sets: comparing molecules in chemoinformatics
Ian L Dryden, Jonathan D Hirst, James L Melville
Journal of Chemical Information and Modeling
|
January 24, 2007
Similarity by compression
James L Melville, Jenna F Riley, Jonathan D Hirst
Combinatorial Chemistry & High Throughput Screening
|
May 16, 2009
Machine learning in virtual screening
James L Melville, Edmund K Burke, Jonathan D Hirst
The Analyst
|
May 23, 2002
Sono-electroanalysis of copper: enhanced detection and determination in the presence of surfactants
Joanna Lorraine Hardcastle, Geraldine Hignett, James L Melville, et al.
Chemical Communications (Cambridge, England)
|
June 5, 2004
Computational screening of combinatorial catalyst libraries
James L Melville, Benjamin I Andrews, Barry Lygo, et al.
Journal of Chemical Information and Modeling
|
January 24, 2007
Contemporary QSAR classifiers compared
Craig L Bruce, James L Melville, Stephen D Pickett, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Journal of Chemical Information and Computer Sciences
|
July 27, 2004
On the stability of CoMFA models
James L Melville, Jonathan D Hirst
Journal of Chemical Information and Modeling
|
March 27, 2007
TMACC: interpretable correlation descriptors for quantitative structure-activity relationships
James L Melville, Jonathan D Hirst
Journal of Chemical Information and Modeling
|
April 29, 2009
Better than random? The chemotype enrichment problem
Mark D Mackey, James L Melville
Journal of Computer-Aided Molecular Design
|
November 6, 2009
Molecular docking and QSAR of aplyronine A and analogues: potent inhibitors of actin
Abrar Hussain, James L Melville, Jonathan D Hirst
Biometrics
|
April 24, 2007
Statistical analysis of unlabeled point sets: comparing molecules in chemoinformatics
Ian L Dryden, Jonathan D Hirst, James L Melville
Journal of Chemical Information and Modeling
|
January 24, 2007
Similarity by compression
James L Melville, Jenna F Riley, Jonathan D Hirst
Combinatorial Chemistry & High Throughput Screening
|
May 16, 2009
Machine learning in virtual screening
James L Melville, Edmund K Burke, Jonathan D Hirst
The Analyst
|
May 23, 2002
Sono-electroanalysis of copper: enhanced detection and determination in the presence of surfactants
Joanna Lorraine Hardcastle, Geraldine Hignett, James L Melville, et al.
Chemical Communications (Cambridge, England)
|
June 5, 2004
Computational screening of combinatorial catalyst libraries
James L Melville, Benjamin I Andrews, Barry Lygo, et al.
Journal of Chemical Information and Modeling
|
January 24, 2007
Contemporary QSAR classifiers compared
Craig L Bruce, James L Melville, Stephen D Pickett, et al.
Page
of 2