Toward a general predictive QSAR model for gamma-secretase inhibitors.
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Advances in quantitative structure-activity relationship models of anti-Alzheimer's agents.In silico studies in drug research against neurodegenerative diseases.Computational analysis of BACE1-ligand complex crystal structures and linear discriminant analysis for identification of BACE1 inhibitors with anti P-glycoprotein binding property.Modeling the permeability of drug-like molecules through the cell wall of Mycobacterium tuberculosis: an analogue based approach.Artificial neural networks as alternative tool for minimizing error predictions in manufacturing ultradeformable nanoliposome formulations.Blood brain barrier and Alzheimer's disease: Similarity and dissimilarity of molecular alerts.
P2860
Toward a general predictive QSAR model for gamma-secretase inhibitors.
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2013 nî lūn-bûn
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Toward a general predictive QSAR model for gamma-secretase inhibitors.
@en
Toward a general predictive QSAR model for gamma-secretase inhibitors.
@nl
type
label
Toward a general predictive QSAR model for gamma-secretase inhibitors.
@en
Toward a general predictive QSAR model for gamma-secretase inhibitors.
@nl
prefLabel
Toward a general predictive QSAR model for gamma-secretase inhibitors.
@en
Toward a general predictive QSAR model for gamma-secretase inhibitors.
@nl
P2093
P2860
P1433
P1476
Toward a general predictive QSAR model for gamma-secretase inhibitors.
@en
P2093
Sridhara Janardhan
Subhash Ajmani
Vellarkad N Viswanadhan
P2860
P2888
P304
P356
10.1007/S11030-013-9441-2
P577
2013-04-24T00:00:00Z