Prediction of kinase-inhibitor binding affinity using energetic parameters

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Prediction of kinase-inhibitor binding affinity using energetic parameters

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2016 nî lūn-bûn

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2016年の論文

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2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

2016年论文

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2016年论文

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Prediction of kinase-inhibitor binding affinity using energetic parameters

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Item

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Prediction of kinase-inhibitor binding affinity using energetic parameters

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Prediction of kinase-inhibitor binding affinity using energetic parameters

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P1476

Prediction of kinase-inhibitor binding affinity using energetic parameters

@en

P2093

Samuel Selvaraj

http://www.w3.org/2001/XMLSchema#string

Singaravelu Usha

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P2860

The Protein Data Bank

BindingDB: a web-accessible database of experimentally determined protein-ligand binding affinities

Pyrrolopyridine inhibitors of mitogen-activated protein kinase-activated protein kinase 2 (MK-2)

Structurally Sophisticated Octahedral Metal Complexes as Highly Selective Protein Kinase Inhibitors

Surflex: fully automatic flexible molecular docking using a molecular similarity-based search engine

A widely applicable set of descriptors.

Predicting kinase selectivity profiles using Free-Wilson QSAR analysis.

Toward novel universal descriptors: charge fingerprints.

QSAR models for predicting the similarity in binding profiles for pairs of protein kinases and the variation of models between experimental data sets.

Profile-QSAR: a novel meta-QSAR method that combines activities across the kinase family to accurately predict affinity, selectivity, and cellular activity.

P304

172-181

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.6026/97320630012172

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P577

2016-06-15T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

28149052

http://www.w3.org/2001/XMLSchema#string

P932

5267961

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