Search Result "Activity prediction"


Prediction of Biological Activity Spectra for Substances: Evaluation on the Diverse Sets of Drug-Like Structures

Journal: Current Medicinal Chemistry
Volume: 10 Issue: 3 Year: 2003 Page: 225-233
Author(s): A. V. Stepanchikova, A. A. Lagunin, D. A. Filimonov, V. V. Poroikov

The Evaluation of Multivariate Adaptive Regression Splines for the Prediction of Antitumor Activity of Acridinone Derivatives

Journal: Medicinal Chemistry
Volume: 9 Issue: 8 Year: 2013 Page: 1041-1050
Author(s): Marcin Koba,Tomasz Bączek

Pharmacokinetic and Pharmacogenetic Predictive Markers of Irinotecan Activity and Toxicity

Journal: Current Drug Metabolism
Volume: 12 Issue: 1 Year: 2011 Page: 932-943
Author(s): Antonello Di Paolo, Guido Bocci, Marialuisa Polillo, Marzia Del Re, Teresa Di Desidero, Marianna Lastella, Romano Danesi

Predictive Coding

Ebook: A Blueprint for the Hard Problem of Consciousness
Volume: 1 Year: 2019
Author(s): Paulo J. Negro
Doi: 10.2174/9781681087665119010016

Review Article

Recent Progress in Machine Learning-based Prediction of Peptide Activity for Drug Discovery

Journal: Current Topics in Medicinal Chemistry
Volume: 19 Issue: 1 Year: 2019 Page: 4-16
Author(s): Qihui Wu,Hanzhong Ke,Dongli Li,Qi Wang,Jiansong Fang,Jingwei Zhou

Research Article

Predicting Antitumor Activity of Anthrapyrazole Derivatives usingAdvanced Machine Learning Techniques

Journal: Current Computer-Aided Drug Design
Volume: 20 Issue: 6 Year: 2024 Page: 798-810
Author(s):

Multi-Targeted Natural Products Evaluation Based on Biological Activity Prediction with PASS

Journal: Current Pharmaceutical Design
Volume: 16 Issue: 1 Year: 2010 Page: 1703-1717
Author(s): Alexey Lagunin, Dmitry Filimonov, Vladimir Poroikov

Artificial Neural Networks for Prediction of Antibacterial Activity in Series of Imidazole Derivatives

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 7 Issue: 4 Year: 2004 Page: 327-336
Author(s): Adam Bucinski, Michal Jan Markuszewski, Wlodzimierz Wiktorowicz, Jerzy Krysinski, Roman Kaliszan

Application of Artificial Neural Networks for the Prediction of Antitumor Activity of a Series of Acridinone Derivatives

Journal: Medicinal Chemistry
Volume: 8 Issue: 3 Year: 2012 Page: 309-319
Author(s): Marcin Koba

Compound Activity Prediction Using Models of Binding Pockets or Ligand Properties in 3D

Journal: Current Topics in Medicinal Chemistry
Volume: 12 Issue: 17 Year: 2012 Page: 1869-1882
Author(s): Irina Kufareva,Yu-Chen Chen,Andrey V. Ilatovskiy,Ruben Abagyan

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