دنبال کردن
Winkler, D*
Winkler, D*
CSIRO or Monash or La Trobe or Defence or Nottingham or Pharmacy
ایمیل تأیید شده در latrobe.edu.au - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Bayesian regularization of neural networks‏
F Burden, D Winkler‏
Artificial neural networks, 23-42, 2008‏
1183*2008
QSAR without Borders – ISI Highly Cited Paper: ISI Hot Paper‏
EN Muratov, J Bajorath, RP Sheridan, I Tetko, D Filimonov, V Poroikov, ...‏
Chemical Society Reviews 49, 3525, 2020‏
7632020
Beware of R2: simple, unambiguous assessment of the prediction accuracy of QSAR and QSPR models – ISI Highly Cited paper‏
DLJ Alexander, A Tropsha, DA Winkler‏
Journal of Chemical Information and Modeling 55 (7), 1316-1322, 2015‏
7432015
Quantitative structure–property relationship modeling of diverse materials properties - ISI Highly Cited paper‏
T Le, VC Epa, FR Burden, DA Winkler‏
Chemical Reviews 112 (5), 2889-2919, 2012‏
5802012
Opening the black box of neural networks: methods for interpreting neural network models in clinical applications.‏
Z Zhang, MW Beck, DA Winkler, B Huang, W Sibanda, H Goyal‏
Ann. Transl. Med. 6 (11), 216, 2018‏
2972018
Robust QSAR models using Bayesian regularized neural networks‏
FR Burden, DA Winkler‏
Journal of Medicinal Chemistry 42 (16), 3183-3187, 1999‏
2961999
A renaissance of neural networks in drug discovery‏
II Baskin, D Winkler, IV Tetko‏
Expert opinion on drug discovery 11 (8), 785-795, 2016‏
2752016
Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery – ISI Highly Cited paper‏
H Mai, TC Le, D Chen, DA Winkler, RA Caruso‏
Chemical Reviews 122 (16), 13478-13515, 2022‏
2712022
Consistent concepts of self‐organization and self‐assembly‏
JD Halley, DA Winkler‏
Complexity 14 (2), 10-17, 2008‏
2522008
The Materials Genome in Action: Identifying the Performance Limits of Physical Hydrogen Storage‏
AW Thornton, CM Simon, J Kim, O Kwon, KS Deeg, K Konstas, SJ Pas, ...‏
Chemistry of Materials 29 (7), 2844-2854, 2017‏
2372017
Discovery and optimization of materials using evolutionary approaches‏
TC Le, DA Winkler‏
Chemical reviews 116 (10), 6107-6132, 2016‏
2122016
The role of quantitative structure-activity relationships (QSAR) in biomolecular discovery‏
DA Winkler‏
Briefings in bioinformatics 3 (1), 73-86, 2002‏
2122002
Modeling biological activities of nanoparticles‏
VC Epa, FR Burden, C Tassa, R Weissleder, S Shaw, DA Winkler‏
Nano letters 12 (11), 5808-5812, 2012‏
2102012
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
2092013
Computational Modelling and Simulation of CO2 Capture by Aqueous Amines‏
X Yang, Q Yang, G Puxty, R Rees, DA Winkler‏
Chemical Reviews 117 (14), 9524–9593, 2017‏
2022017
A critical overview of computational approaches employed for COVID-19 drug discovery – ISI Highly Cited paper‏
E Muratov, N Brown, D Fourches, D Kozakov, JL Medina-Franco, K Merz, ...‏
Chemical Society Reviews 50 (21 August), 9121-9151, 2021‏
1872021
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
1812014
Towards chromate-free corrosion inhibitors: structure–property models for organic alternatives‏
DA Winkler, M Breedon, AE Hughes, FR Burden, AS Barnard, TG Harvey, ...‏
Green Chemistry 16 (6), 3349-3357, 2014‏
1802014
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
1802000
Design of potential anti-HIV agents. 1. Mannosidase inhibitors‏
DA Winkler, G Holan‏
Journal of medicinal chemistry 32 (9), 2084-2089, 1989‏
1801989
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20