BMC Pharmacology


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  • Christopher Morrey, BioMed Central

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  • Image attributed to: From Periwal et al, 2012, Figure 3

    Virtual screens for anti-tubercular drugs

    Computational methods based on Machine Learning tools and supervised classifiers generate accurate predictive models for virtual high-throughput screens of large libraries of anti-tubercular molecules, allowing prioritization of good candidates for drug discovery.

    BMC Pharmacology 2012, 12:1
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BMC Pharmacology is an open access, peer-reviewed journal that considers articles on aspects of the discovery, design, uses, effects, modes of action and metabolism of chemically defined therapeutic and toxic agents.

It is journal policy to publish work deemed by peer reviewers to be a coherent and sound addition to scientific knowledge and to put less emphasis on interest levels, provided that the research constitutes a useful contribution to the field.

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Sally Blower

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Professor Sally Blower
Semel Institute for Neuroscience & Human Behavior,
UCLA David Geffen School of Medicine, USA

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ISSN: 1471-2210