Exploring QSARs for inhibitory effect of a set of heterocyclic thrombin inhibitors by multilinear regression refined by artificial neural network and molecular docking simulations.
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Study of the Differential Activity of Thrombin Inhibitors Using Docking, QSAR, Molecular Dynamics, and MM-GBSALigand recognition properties of the vasopressin V2 receptor studied under QSAR and molecular modeling strategies.Exploring the ligand recognition properties of the human vasopressin V1a receptor using QSAR and molecular modeling studies.
P2860
Exploring QSARs for inhibitory effect of a set of heterocyclic thrombin inhibitors by multilinear regression refined by artificial neural network and molecular docking simulations.
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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
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
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2011年學術文章
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name
Exploring QSARs for inhibitory ...... molecular docking simulations.
@en
Exploring QSARs for inhibitory ...... molecular docking simulations.
@nl
type
label
Exploring QSARs for inhibitory ...... molecular docking simulations.
@en
Exploring QSARs for inhibitory ...... molecular docking simulations.
@nl
prefLabel
Exploring QSARs for inhibitory ...... molecular docking simulations.
@en
Exploring QSARs for inhibitory ...... molecular docking simulations.
@nl
P2093
P2860
P1476
Exploring QSARs for inhibitory ...... molecular docking simulations
@en
P2093
Guillermo Ramírez-Galicia
José Correa-Basurto
P2860
P304
P356
10.3109/14756366.2011.582467
P577
2011-06-03T00:00:00Z