QSAR study of 1-(3, 3-diphenylpropyl)-piperidinyl amides and ureas using genetic algorithms and artificial neural networks

Autor:	Houda Labjar, Mohamed Kissi, Rokaya Mouhibi, Hassan Chaair, Mohamed Zahouily, Omar Khadir
Rok vydání:	2016
Předmět:	0301 basic medicine Quantitative structure–activity relationship Artificial neural network 010405 organic chemistry Clinical Biochemistry Biomedical Engineering Human immunodeficiency virus (HIV) Quantitative structure Health Informatics medicine.disease_cause 01 natural sciences 0104 chemical sciences 03 medical and health sciences 030104 developmental biology Health Information Management Molar refractivity Genetic algorithm Linear regression medicine Biological system Mathematics
Zdroj:	International Journal of Bioinformatics Research and Applications. 12:116
ISSN:	1744-5493 1744-5485
DOI:	10.1504/ijbra.2016.077123
Popis:	Quantitative Structure Activity Relationships QSAR were studied for a series of 54 1-3, 3-diphenylpropyl-piperidinyl amides and ureas derivatives by means of Multiple Linear Regression MLR, Genetic Algorithm GA and Artificial Neural Network ANN techniques. The values of pIC
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::16fa4df34aebecf919f491aeb1995c37 https://doi.org/10.1504/ijbra.2016.077123 Zobrazit plný text záznamu