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How the energy evaluation method used in the geometry optimization step affect the quality of the subsequent QSAR/QSPR models
Åsmund Rinnan,
Niels Johan Christensen
,
Søren Balling Engelsen
8
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1317
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Kemiske forbindelser
Aromatic Compound
46%
Dielectric Constant
22%
Energy
34%
Molecule
8%
Peroxisome Proliferator Activated Receptor Agonist
84%
Pharmaceutical
17%
QSAR Study
25%
QSPR Study
30%
Fysik og astronomi
aromatic compounds
43%
energy
21%
evaluation
45%
geometry
40%
molecules
7%
optimization
47%
permittivity
10%
predictions
7%
Teknik og materialevidenskab
Aromatic compounds
44%
Drug products
15%
Geometry
43%
Molecules
14%
Permittivity
14%
Peroxisome Proliferator-Activated Receptors
59%
Set theory
9%
Uncertainty
9%
Medicin og biovidenskab
Datasets
28%
Peroxisome Proliferator-Activated Receptors
29%
Pharmaceutical Research
17%
Quantitative Structure-Activity Relationship
100%
Toxicology
23%
Uncertainty
11%