A novel QSAR approach for estimating toxicity of phenols.

A novel QSAR approach for estimating toxicity of phenols.

Item
http://www.wikidata.org/entity/Q52318972
From data point timelines to a well curated data set, data mining of experimental data and chemical structure data from scientific articles, problems and possible solutions.A novel automated lazy learning QSAR (ALL-QSAR) approach: method development, applications, and virtual screening of chemical databases using validated ALL-QSAR models.Estimation of cytotoxicity to HEP-G2 cells of 255 environmental pollutants and water using QSAR (Quantitative Structure-Activity Relationship).Classifying class I and class II compounds by hydrophobicity and hydrogen bonding descriptors.Comparison of Tetrahymena pyriformis toxicity based on hydrophobicity, polarity, ionization and reactivity of class-based compounds.Toxicity of organic pollutants to seven aquatic organisms: effect of polarity and ionization.A hierarchical clustering methodology for the estimation of toxicity.
P2860

A novel QSAR approach for estimating toxicity of phenols.

Item
http://www.wikidata.org/entity/Q52318972
description
1996 nî lūn-bûn
@nan
1996年の論文
@ja
1996年学术文章
@wuu
1996年学术文章
@zh
1996年学术文章
@zh-cn
1996年学术文章
@zh-hans
1996年学术文章
@zh-my
1996年学术文章
@zh-sg
1996年學術文章
@yue
1996年學術文章
@zh-hant
name
A novel QSAR approach for estimating toxicity of phenols.
@en
A novel QSAR approach for estimating toxicity of phenols.
@nl
type
label
A novel QSAR approach for estimating toxicity of phenols.
@en
A novel QSAR approach for estimating toxicity of phenols.
@nl
prefLabel
A novel QSAR approach for estimating toxicity of phenols.
@en
A novel QSAR approach for estimating toxicity of phenols.
@nl
P1433
P1476
P2093
P2860
P304
P31
P356
P433
P478
P577
P698
P356
P1433
P1476
A novel QSAR approach for estimating toxicity of phenols.
@en
P2093
P2860
P304
P31
P356
P433
P478
P577
P698