Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines.
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Structure-activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programmingCoMFA analysis of tgDHFR and rlDHFR based on antifolates with 6-5 fused ring system using the all-orientation search (AOS) routine and a modified cross-validated r(2)-guided region selection (q(2)-GRS) routine and its initial application.Prediction of rodent carcinogenicity bioassays from molecular structure using inductive logic programming.Variable selection for QSAR by artificial ant colony systems.A comparison of quantitative structure-activity relationships for the effect of benzoic and cinnamic acids on Listeria monocytogenes using multiple linear regression, artificial neural network and fuzzy systems.3D-QSAR studies on the inhibitory activity of trimethoprim analogues against Escherichia coli dihydrofolate reductase.
P2860
Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines.
description
1994 nî lūn-bûn
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1994年の論文
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1994年学术文章
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1994年学术文章
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1994年学术文章
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1994年学术文章
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1994年学术文章
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1994年学术文章
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1994年學術文章
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name
Quantitative structure-activit ...... late reductase by pyrimidines.
@en
Quantitative structure-activit ...... late reductase by pyrimidines.
@nl
type
label
Quantitative structure-activit ...... late reductase by pyrimidines.
@en
Quantitative structure-activit ...... late reductase by pyrimidines.
@nl
prefLabel
Quantitative structure-activit ...... late reductase by pyrimidines.
@en
Quantitative structure-activit ...... late reductase by pyrimidines.
@nl
P50
P356
P1476
Quantitative structure-activit ...... olate reductase by pyrimidines
@en
P2093
M J Sternberg
P2888
P304
P356
10.1007/BF00125375
P577
1994-08-01T00:00:00Z