- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Prediction of potential drug targets based on simple sequence properties ; volume:8 ; number:1 ; day:20 ; month:9 ; year:2007 ; pages:1-11 ; date:12.2007
BMC bioinformatics ; 8, Heft 1 (20.9.2007), 1-11, 12.2007
- Creator
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Li, Qingliang
- Contributor
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Lai, Luhua
SpringerLink (Online service)
- DOI
-
10.1186/1471-2105-8-353
- URN
-
urn:nbn:de:1111-2016021630555
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:35 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Li, Qingliang
- Lai, Luhua
- SpringerLink (Online service)
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Sequence-based drug-target affinity prediction using weighted graph neural networks
Computational prediction of miRNAs and their targets in Phaseolus vulgaris using simple sequence repeat signatures
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Drug–target interaction prediction via multiple classification strategies
Deep generative model for drug design from protein target sequence
Erratum to: ‘MicroRNA target prediction using thermodynamic and sequence curves’
Explainable deep drug–target representations for binding affinity prediction
Prediction of drug–target interactions through multi-task learning
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