Winkler, D*
Winkler, D*
CSIRO or Monash or La Trobe or Defence or Nottingham or Pharmacy
Verified email at latrobe.edu.au - Homepage
TitleCited byYear
Quantitative structure–property relationship modeling of diverse materials properties
T Le, VC Epa, FR Burden, DA Winkler
Chemical reviews 112 (5), 2889-2919, 2012
2512012
Robust QSAR models using Bayesian regularized neural networks
FR Burden, DA Winkler
Journal of medicinal chemistry 42 (16), 3183-3187, 1999
2221999
Beware of R2: simple, unambiguous assessment of the prediction accuracy of QSAR and QSPR models
DLJ Alexander, A Tropsha, DA Winkler
Journal of chemical information and modeling 55 (7), 1316-1322, 2015
1912015
Bayesian regularization of neural networks
F Burden, D Winkler
Artificial neural networks, 23-42, 2008
1832008
The role of quantitative structure-activity relationships (QSAR) in biomolecular discovery
DA Winkler
Briefings in bioinformatics 3 (1), 73-86, 2002
1572002
Design of potential anti-HIV agents. 1. Mannosidase inhibitors
DA Winkler, G Holan
Journal of medicinal chemistry 32 (9), 2084-2089, 1989
1531989
Use of automatic relevance determination in QSAR studies using Bayesian neural networks
FR Burden, MG Ford, DC Whitley, DA Winkler
Journal of Chemical Information and Computer Sciences 40 (6), 1423-1430, 2000
1442000
Consistent concepts of self‐organization and self‐assembly
JD Halley, DA Winkler
Complexity 14 (2), 10-17, 2008
1432008
Modeling biological activities of nanoparticles
VC Epa, FR Burden, C Tassa, R Weissleder, S Shaw, DA Winkler
Nano letters 12 (11), 5808-5812, 2012
1332012
Applying quantitative structure–activity relationship approaches to nanotoxicology: current status and future potential
DA Winkler, E Mombelli, A Pietroiusti, L Tran, A Worth, B Fadeel, ...
Toxicology 313 (1), 15-23, 2013
1322013
The X-ray Structure of a Hemipteran Ecdysone Receptor Ligand-binding Domain comparison with a Lepidopteran ecdysone receptor ligand-binding domain and implications for …
JA Carmichael, MC Lawrence, LD Graham, PA Pilling, VC Epa, L Noyce, ...
Journal of Biological Chemistry 280 (23), 22258-22269, 2005
1172005
Materials for stem cell factories of the future
AD Celiz, JGW Smith, R Langer, DG Anderson, DA Winkler, DA Barrett, ...
Nature materials 13 (6), 570-579, 2014
1162014
Classification of emergence and its relation to self‐organization
JD Halley, DA Winkler
Complexity 13 (5), 10-15, 2008
1062008
Neural networks as robust tools in drug lead discovery and development
DA Winkler
Molecular biotechnology 27 (2), 139-167, 2004
992004
Comparison of linear and nonlinear classification algorithms for the prediction of drug and chemical metabolism by human UDP-glucuronosyltransferase isoforms
MJ Sorich, JO Miners, RA McKinnon, DA Winkler, FR Burden, PA Smith
Journal of chemical information and computer sciences 43 (6), 2019-2024, 2003
992003
Artificial neural networks: methods and applications
D Livingstone
Humana Press, 2008
962008
Modelling blood–brain barrier partitioning using Bayesian neural nets
DA Winkler, FR Burden
Journal of Molecular Graphics and Modelling 22 (6), 499-505, 2004
932004
A Quantitative Structure−Activity Relationships Model for the Acute Toxicity of Substituted Benzenes to Tetrahymena pyriformis Using Bayesian-Regularized Neural …
FR Burden, DA Winkler
Chemical research in toxicology 13 (6), 436-440, 2000
892000
A renaissance of neural networks in drug discovery
II Baskin, D Winkler, IV Tetko
Expert opinion on drug discovery 11 (8), 785-795, 2016
792016
Unzipping the role of chirality in nanoscale self-assembly of tripeptide hydrogels
S Marchesan, L Waddington, CD Easton, DA Winkler, L Goodall, ...
Nanoscale 4 (21), 6752-6760, 2012
742012
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Articles 1–20