New QSAR prediction models derived from GPCR CB2-antagonistic triaryl bis-sulfone analogues by a combined molecular morphological and pharmacophoric approach.
about
Discovery of HIV-1 integrase inhibitors: pharmacophore mapping, virtual screening, molecular docking, synthesis, and biological evaluation.Virtual screening and biological evaluation of novel antipyretic compounds.Ligand biological activity predictions using fingerprint-based artificial neural networks (FANN-QSAR).Molecular features related to the binding mode of PPARδ agonists from QSAR and docking analyses.Comparison of representational spaces based on structural information in the development of QSAR models for benzylamino enaminone derivatives.
P2860
New QSAR prediction models derived from GPCR CB2-antagonistic triaryl bis-sulfone analogues by a combined molecular morphological and pharmacophoric approach.
description
2011 nî lūn-bûn
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2011年の論文
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2011年学术文章
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2011年学术文章
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2011年学术文章
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2011年学术文章
@zh-hans
2011年学术文章
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2011年学术文章
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2011年學術文章
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2011年學術文章
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name
New QSAR prediction models der ...... l and pharmacophoric approach.
@en
New QSAR prediction models der ...... l and pharmacophoric approach.
@nl
type
label
New QSAR prediction models der ...... l and pharmacophoric approach.
@en
New QSAR prediction models der ...... l and pharmacophoric approach.
@nl
prefLabel
New QSAR prediction models der ...... l and pharmacophoric approach.
@en
New QSAR prediction models der ...... l and pharmacophoric approach.
@nl
P2093
P2860
P1476
New QSAR prediction models der ...... l and pharmacophoric approach.
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P2093
P2860
P304
P356
10.1080/1062936X.2011.569948
P577
2011-06-30T00:00:00Z