Combined Application of Cheminformatics- and Physical Force Field-Based Scoring Functions Improves Binding Affinity Prediction for CSAR Data Sets. - Jui-Hua Hsieh; Shuangye Yin; Shubin Liu; Alexander Sedykh; Nikolay V. Dokholyan; Alexander Tropsha (J. Chem. Inf. Model., 2011)

Discovery of Novel Antimalarial Compounds Enabled by QSAR-Based Virtual Screening. - Liying Zhang; Denis Fourches; Alexander Sedykh; Hao Zhu 012; Alexander Golbraikh; Sean Ekins; Julie Clark; Michele C. Connelly; Martina Sigal; Dena Hodges; Armand Guiguemde; R. Kiplin Guy; et al. (J. Chem. Inf. Model., 2013)

Design, synthesis and experimental validation of novel potential chemopreventive agents using random forest and support vector machine binary classifiers. - Brienne Sprague; Qian Shi; Marlene T. Kim; Liying Zhang; Alexander Sedykh; Eiichiro Ichiishi; Harukuni Tokuda; Kuo-Hsiung Lee; Hao Zhu 012 (J. Comput. Aided Mol. Des., 2014)

Chemistry-wide association studies (CWAS) to determine joint toxicity effects of co-occurring chemical features. - Yen S. Low; Alexander Sedykh; Denis Fourches; Alexander Tropsha (J. Cheminformatics, 2014)

Chemistry-Wide Association Studies (CWAS): A Novel Framework for Identifying and Interpreting Structure-Activity Relationships. - Yen S. Low; Vinicius M. Alves; Denis Fourches; Alexander Sedykh; Carolina Horta Andrade; Eugene N. Muratov; Ivan Rusyn; Alexander Tropsha (J. Chem. Inf. Model., 2018)

Universal nanohydrophobicity predictions using virtual nanoparticle library. - Wenyi Wang; Xiliang Yan; Linlin Zhao; Daniel P. Russo; Shenqing Wang; Yin Liu; Alexander Sedykh; Xiaoli Zhao; Bing Yan; Hao Zhu 012 (J. Cheminformatics, 2019)

Quantum machine learning for image classification. - Arsenii Senokosov; Alexander Sedykh; Asel Sagingalieva; Alexey Melnikov 003 (CoRR, 2023)

Quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes. - Alexander Sedykh; Maninadh Podapaka; Asel Sagingalieva; Nikita Smertyak; Karan Pinto; Markus Pflitsch; Alexey Melnikov 003 (CoRR, 2023)

Photovoltaic power forecasting using quantum machine learning. - Asel Sagingalieva; Stefan Komornyik; Arsenii Senokosov; Ayush Joshi; Alexander Sedykh; Christopher Mansell; Olga Tsurkan; Karan Pinto; Markus Pflitsch; Alexey Melnikov 003 (CoRR, 2023)

Quantum machine learning for image classification. - Arsenii Senokosov; Alexander Sedykh; Asel Sagingalieva; Basil Kyriacou; Alexey Melnikov 003 (Mach. Learn. Sci. Technol., 2024)