drdavewinkler

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Location: Australia
Work interests: Molecular design, Artificial intelligence, drug discovery, biomaterials discovery, informatics, complex systems, computational chemistry
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Preferred contact method: Reply to post in blog/forum/group
Preferred contact language(s): English
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Favourite publications: 1. Alexander, D.; Tropsha, A.; Winkler, D.A. Beware of R2: correct statistical usage in QSAR and QSPR studies, J. Chem. Inf. Model. 2015; 55(7): 1316–1322. 2. Autefage, H.; Gentleman, E.; Winkler, D.A.: Burden, F.R.; Stevens, M. Sparse feature selection methods identify unexpected global cellular response to strontium-containing materials. Proc. Natl. Acad. Sci. USA 2015; 112(14):4280-4285. 3. Celiz, A. D.; Smith, J. G. W.; Langer, R.; Anderson, D. G.; Barrett, D. A.; Young, L. E.; Winkler, D.A.; Davies, M. C.; Denning, C.; Alexander M. R. Materials for the Stem Cell Factories of the Future. Nature Mater. 2014; 13:570-579. 4. Wang, X.; Haylock, D.; Hu, C.S.; Mosoyan, G.; Jiang, T.; Qiu, J.; Tarasova, A.; Winkler, D.A.; Hoffman, R.A. A Thrombopoietin Receptor Antagonist Is Capable of Depleting Myelofibrosis Hematopoietic Stem and Progenitor Cells, Blood, 2016; 127(26): 3398-3409. 5. Le, T.C; Winkler, D.A. Discovery and optimization of materials using evolutionary approaches. Chem. Rev. 2016;116 (10), 6107–6132.

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Prof. Dave Winkler is currently Fellow at CSIRO Manufacturing, a Professor of Biochemistry and Genetics at the La Trobe Institute for Molecular Science (La Trobe University),and Professor of Medicinal Chemistry at the Monash Institute of Pharmaceutical Sciences (Monash University). Professor Winkler has research interests in the application of novel computational modelling techniques and complex systems concepts to drug and materials design. He has. aparticular interest in understaning the molecular aspects of the interactions of materials with biology and in translation of basic...

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