Search Result "counter propagation artificial neural network (CP-ANN)"


Marine Algal Toxicity Models with Dunaliella tertiolecta: In Vivo and In Silico

Ebook: Advances in Mathematical Chemistry and Applications
Volume: 2 Year: 2015
Author(s): Melek T. Saçan,Marjana Novic,M. Doğa Ertürk,Nikola Minovski
Doi: 10.2174/9781681080529115020011

Machine Learning Techniques and Drug Design

Journal: Current Medicinal Chemistry
Volume: 19 Issue: 25 Year: 2012 Page: 4289-4297
Author(s): J.C. Gertrudes,V.G. Maltarollo,R.A. Silva,P.R. Oliveira,K.M. Honorio,A.B.F. da Silva

Review Article

Quantitative Structure Activity/Toxicity Relationship through NeuralNetworks for Drug Discovery or Regulatory Use

Journal: Current Topics in Medicinal Chemistry
Volume: 23 Issue: 29 Year: 2023 Page: 2792-2804
Author(s):

QSAR Modeling for Quinoxaline Derivatives using Genetic Algorithm and Simulated Annealing Based Feature Selection

Journal: Current Medicinal Chemistry
Volume: 16 Issue: 3 Year: 2009 Page: 4032-4048
Author(s): P. Ghosh, M. C. Bagchi

Variable Selection Methods in QSAR: An Overview

Journal: Current Topics in Medicinal Chemistry
Volume: 8 Issue: 1 Year: 2008 Page: 1606-1627
Author(s): Maykel Perez Gonzalez, Carmen Teran, Liane Saiz-Urra, Marta Teijeira

Review Article

Review on the Artificial Intelligence-based Nanorobotics Targeted DrugDelivery System for Brain-specific Targeting

Journal: Current Pharmaceutical Design
Volume: 29 Issue: 44 Year: 2023 Page: 3519-3531
Author(s): Hitesh Kumar Dewangan

The Applications of Machine Learning Algorithms in the Modeling of Estrogen-Like Chemicals

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 12 Issue: 5 Year: 2009 Page: 490-496
Author(s): Huanxiang Liu, Xiaojun Yao, Paola Gramatica

In Silico Assessment of Adverse Effects of a Large Set of 6-Fluoroquinolones Obtained from a Study of Tuberculosis Chemotherapy

Journal: Current Drug Safety
Volume: 7 Issue: 4 Year: 2012 Page: 313-320
Author(s): Marjan Tusar,Nikola Minovski,Natalja Fjodorova,Marjana Novic

Influence of LC Retention Data on Antitumor Acridinones’ Classification Evaluated by Factor Analysis Method

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 15 Issue: 8 Year: 2012 Page: 674-683
Author(s): Marcin Koba,Tomasz Baczek,Tomasz Ciesielski

Predictive QSAR Modeling Workflow, Model Applicability Domains, and Virtual Screening

Journal: Current Pharmaceutical Design
Volume: 13 Issue: 3 Year: 2007 Page: 3494-3504
Author(s): Alexander Tropsha, Alexander Golbraikh

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