Computational classification of classically secreted proteins
- Author
- KLEE, Eric W1 ; SOSA, Carlos P2 3
[1] Stabile 3-15, Department of Laboratory Medicine, Mayo Clinic, Rochester, MN 55905, United States
[2] IBM, 650 3rd Ave. South, Minneapolis, MN 53402, United States
[3] University of Minnesota Supercomputing Institute, 599 Walter Library, 117 Pleasant St, Minneapolis, MN 55455m, United States - Source
Drug discovery today. 2007, Vol 12, Num 5-6, pp 234-240, 7 p ; ref : 63 ref
- ISSN
- 1359-6446
- Scientific domain
- Pharmacology drugs
- Publisher
- Elsevier Science, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Classification Facteur prédictif Marqueur biologique Protéine sécrétée Technologie pharmaceutique In silico
- Keyword (en)
- Classification Predictive factor Biological marker Secretory protein Pharmaceutical technology In silico
- Keyword (es)
- Clasificación Factor predictivo Marcador biológico Proteína segregada Tecnología farmacéutica In silico
- Classification
- Pascal
- 002 Biological and medical sciences / 002B Medical sciences / 002B02 Pharmacology. Drug treatments / 002B02A General pharmacology / 002B02A03 Pharmaceutical technology. Pharmaceutical industry
- Discipline
- General pharmacology
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18573367
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.drudis.2007.01.008 
https://dx.doi.org/10.1016/j.drudis.2007.01.008
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