Chemoinformatics for medicinal chemistry: in silico model to enable the discovery of potent and safer anti-cocci agents.

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Fragment-based in silico modeling of multi-target inhibitors against breast cancer-related proteins.

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Chemoinformatics for medicinal chemistry: in silico model to enable the discovery of potent and safer anti-cocci agents.

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2014 nî lūn-bûn

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Chemoinformatics for medicinal ...... t and safer anti-cocci agents.

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Chemoinformatics for medicinal ...... t and safer anti-cocci agents.

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Chemoinformatics for medicinal ...... t and safer anti-cocci agents.

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Chemoinformatics for medicinal ...... t and safer anti-cocci agents.

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Chemoinformatics for medicinal ...... t and safer anti-cocci agents.

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Chemoinformatics for medicinal ...... t and safer anti-cocci agents.

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P1476

Chemoinformatics for medicinal ...... t and safer anti-cocci agents.

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P2860

In vitro antibacterial activities of JNJ-Q2, a new broad-spectrum fluoroquinolone

Management of multidrug-resistant enterococcal infections

ChEMBL: a large-scale bioactivity database for drug discovery

A comparison of MCC and CEN error measures in multi-class prediction

ChEMBL. An interview with John Overington, team leader, chemogenomics at the European Bioinformatics Institute Outstation of the European Molecular Biology Laboratory (EMBL-EBI). Interview by Wendy A. Warr

Mining the ChEMBL database: an efficient chemoinformatics workflow for assembling an ion channel-focused screening library

Large-scale screening of a targeted Enterococcus faecalis mutant library identifies envelope fitness factors.

Differences between macrolide-resistant and -susceptible Streptococcus pyogenes: importance of clonal properties in addition to antibiotic consumption

ANN multiplexing model of drugs effect on macrophages; theoretical and flow cytometry study on the cytotoxicity of the anti-microbial drug G1 in spleen.

TOPS-MODE model of multiplexing neuroprotective effects of drugs and experimental-theoretic study of new 1,3-rasagiline derivatives potentially useful in neurodegenerative diseases.

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2013-2028

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scholarly article

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10.4155/FMC.14.136

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Alejandro Speck-Planche

Maria Natália Dias Soeiro Cordeiro

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2014-01-01T00:00:00Z

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25531966

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cheminformatics

Chemoinformatics for medicinal chemistry: in silico model to enable the discovery of potent and safer anti-cocci agents.

about

P2860

P2860

Chemoinformatics for medicinal chemistry: in silico model to enable the discovery of potent and safer anti-cocci agents.

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P1476

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P921