Related references
Note: Only part of the references are listed.Be aware of error measures. Further studies on validation of predictive QSAR models
Kunal Roy et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2016)
Aug-MIA-SPR/PLS-DA classification of carbonyl herbicides according to levels of soil sorption
Mirlaine R. Freitas et al.
GEODERMA (2016)
On a simple approach for determining applicability domain of QSAR models
Kunal Roy et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2015)
Comparison of the variable importance in projection (VIP) and of the selectivity ratio (SR) methods for variable selection and interpretation
Mireia Farres et al.
JOURNAL OF CHEMOMETRICS (2015)
Computational modelling of the antischistosomal activity for neolignan derivatives based on the MIA-SAR approach
M. H. Duarte et al.
SAR AND QSAR IN ENVIRONMENTAL RESEARCH (2015)
Some case studies on application of rm2 metrics for judging quality of quantitative structure-activity relationship predictions: Emphasis on scaling of response data
Kunal Roy et al.
JOURNAL OF COMPUTATIONAL CHEMISTRY (2013)
aug-MIA-QSAR modeling of antimicrobial activities and design of multi-target anilide derivatives
Cleiton A. Nunes et al.
JOURNAL OF MICROBIOLOGICAL METHODS (2013)
aug-MIA-QSPR on the modeling of sweetness values of disaccharide derivatives
Cleiton A. Nunes et al.
LWT-FOOD SCIENCE AND TECHNOLOGY (2013)
Chemoface: a Novel Free User-Friendly Interface for Chemometrics
Cleiton A. Nunes et al.
JOURNAL OF THE BRAZILIAN CHEMICAL SOCIETY (2012)
Exploring quantitative structure-activity relationship studies of antioxidant phenolic compounds obtained from traditional Chinese medicinal plants
Indrani Mitra et al.
MOLECULAR SIMULATION (2010)
MIA-QSAR modelling of anti-HIV-1 activities of some 2-amino-6-arylsulfonylbenzonitriles and their thio and sulfinyl congeners
MP Freitas
ORGANIC & BIOMOLECULAR CHEMISTRY (2006)
Performance of some variable selection methods when multicollinearity is present
IG Chong et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2005)
Combining protein modeling and 6D-QSAR. Simulating the binding of structurally diverse ligands to the estrogen receptor
A Vedani et al.
JOURNAL OF MEDICINAL CHEMISTRY (2005)
MIA-QSAR: a simple 2D image-based approach for quantitative structure-activity relationship analysis
MP Freitas et al.
JOURNAL OF MOLECULAR STRUCTURE (2005)
5D-QSAR: The key for simulating induced fit?
A Vedani et al.
JOURNAL OF MEDICINAL CHEMISTRY (2002)