An infrastructure to mine molecular descriptors for ligand selection on virtual screening.
| Publicado en: | BioMed Research International Vol. 2014; pp. 325959 - 325960 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103822359&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103822359 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2014 vid: 2014 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 103822359 103822359 2012575274 NLM24812613 PMC4000951 103822359 ppf: 325959 ppct: 1 formats: fmt: @attributes: type: P tig: atl: An infrastructure to mine molecular descriptors for ligand selection on virtual screening. aug: au: Seus, Vinicius Rosa Perazzo, Giovanni Xavier Winck, Ana T Werhli, Adriano V Machado, Karina S affil: Centro de Ciências Computacionais, Universidade Federal do Rio Grande - FURG, Avenida Itália km 8 s/n, 96203-900 Rio Grande, RS, Brazil. sug: subj: Data Mining Drug Evaluation, Preclinical Virtual High-Throughput Screening Decision Trees Peptide Hydrolases Ligands Models, Theoretical Reproducibility of Results pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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