3D-e-Chem: Structural Cheminformatics Workflows for Computer-Aided Drug Discovery.

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3D-e-Chem: Structural Cheminformatics Workflows for Computer-Aided Drug Discovery.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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3D-e-Chem: Structural Cheminformatics Workflows for Computer-Aided Drug Discovery.

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3D-e-Chem: Structural Cheminformatics Workflows for Computer-Aided Drug Discovery.

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3D-e-Chem: Structural Cheminformatics Workflows for Computer-Aided Drug Discovery.

@en

3D-e-Chem: Structural Cheminformatics Workflows for Computer-Aided Drug Discovery.

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3D-e-Chem: Structural Cheminformatics Workflows for Computer-Aided Drug Discovery.

@en

3D-e-Chem: Structural Cheminformatics Workflows for Computer-Aided Drug Discovery.

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P1476

3D-e-Chem: Structural Cheminformatics Workflows for Computer-Aided Drug Discovery

@en

P2093

Gert Vriend

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Iwan J P de Esch

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Rob Leurs

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P2860

KNIME-CDK: Workflow-driven cheminformatics

The Protein Data Bank

Cytoscape: a software environment for integrated models of biomolecular interaction networks

Scientific workflow systems: Pipeline Pilot and KNIME

Predicting new molecular targets for known drugs

The ChEMBL bioactivity database: an update

Analysis of imatinib and sorafenib binding to p38alpha compared with c-Abl and b-Raf provides structural insights for understanding the selectivity of inhibitors targeting the DFG-out form of protein kinases

Structural Features for Functional Selectivity at Serotonin Receptors

Discovery of new acylaminopyridines as GSK-3 inhibitors by a structure guided in-depth exploration of chemical space around a pyrrolopyridinone core

Structural basis of reversine selectivity in inhibiting Mps1 more potently than aurora B kinase

P304

614-626

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P31

scholarly article

P356

10.1002/CMDC.201700754

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P433

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

P478

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P50

P577

2018-02-14T00:00:00Z

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P698

29337438

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P921

workflow

P932

5900740

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