Predicting the protein targets for athletic performance-enhancing substances.
about
Drug Design for CNS Diseases: Polypharmacological Profiling of Compounds Using Cheminformatic, 3D-QSAR and Virtual Screening MethodologiesThe polypharmacology browser: a web-based multi-fingerprint target prediction tool using ChEMBL bioactivity dataMachine learning methods in chemoinformaticsPFClust: an optimised implementation of a parameter-free clustering algorithm.Predicting targets of compounds against neurological diseases using cheminformatic methodology.A perspective on multi-target drug discovery and design for complex diseases.
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Predicting the protein targets for athletic performance-enhancing substances.
description
2013 nî lūn-bûn
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2013年の論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年论文
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2013年论文
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name
Predicting the protein targets for athletic performance-enhancing substances.
@en
type
label
Predicting the protein targets for athletic performance-enhancing substances.
@en
prefLabel
Predicting the protein targets for athletic performance-enhancing substances.
@en
P2860
P356
P1476
Predicting the protein targets for athletic performance-enhancing substances
@en
P2093
John Bo Mitchell
P2860
P2888
P356
10.1186/1758-2946-5-31
P577
2013-06-25T00:00:00Z
P5875
P6179
1002071317