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NERDD: a web portal providing access to in silico tools for drug discovery
C. Stork, G. Embruch, M. Šícho, C. de Bruyn Kops, Y. Chen, D. Svozil, J. Kirchmair,
Jazyk angličtina Země Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Free Medical Journals
od 1996 do Před 1 rokem
PubMed Central
od 2007
Open Access Digital Library
od 1996-01-01
Medline Complete (EBSCOhost)
od 1998-01-01
Oxford Journals Open Access Collection
od 1985-01-01 do 2022-09-30
Oxford Journals Open Access Collection
od 1985-01-01
ROAD: Directory of Open Access Scholarly Resources
od 1998
- MeSH
- biologické přípravky * MeSH
- internet MeSH
- objevování léků * MeSH
- počítače MeSH
- počítačová simulace MeSH
- software MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
SUMMARY: The New E-Resource for Drug Discovery (NERDD) is a quickly expanding web portal focused on the provision of peer-reviewed in silico tools for drug discovery. NERDD currently hosts tools for predicting the sites of metabolism (FAME) and metabolites (GLORY) of small organic molecules, for flagging compounds that are likely to interfere with biological assays (Hit Dexter), and for identifying natural products and natural product derivatives in large compound collections (NP-Scout). Several additional models and components are currently in development. AVAILABILITY AND IMPLEMENTATION: The NERDD web server is available at https://nerdd.zbh.uni-hamburg.de. Most tools are also available as software packages for local installation.
Citace poskytuje Crossref.org
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- $a SUMMARY: The New E-Resource for Drug Discovery (NERDD) is a quickly expanding web portal focused on the provision of peer-reviewed in silico tools for drug discovery. NERDD currently hosts tools for predicting the sites of metabolism (FAME) and metabolites (GLORY) of small organic molecules, for flagging compounds that are likely to interfere with biological assays (Hit Dexter), and for identifying natural products and natural product derivatives in large compound collections (NP-Scout). Several additional models and components are currently in development. AVAILABILITY AND IMPLEMENTATION: The NERDD web server is available at https://nerdd.zbh.uni-hamburg.de. Most tools are also available as software packages for local installation.
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- $a Kirchmair, Johannes $u Department of Informatics, Universität Hamburg, Faculty of Mathematics, Informatics and Natural Sciences, Center for Bioinformatics (ZBH), Hamburg 20146, Germany. Department of Chemistry, University of Bergen, Bergen N-5020, Norway. Computational Biology Unit (CBU), Bergen N-5020, Norway.
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