| URL: | http://www.scowlp.org |
| Full name: | Structural Characterization Of Water, Ligands and Proteins |
| Description: | SCOWLP is a user-friendly and publicly accessible web-based relational database for detailed characterization and visualization of the PDB protein interfaces. Also, the SCOWLP web-server allows detailed structural analysis and comparisons of protein interfaces at atomic level by text query of PDB codes and/or by navigating a SCOP-based tree. |
| Year founded: | 2006 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
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| Country/Region: | Germany |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: |
NA
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| Keywords: |
| University/Institution: | BIOTEC TU Dresden |
| Address: | Department of Bioinformatics, BIOTEC TU Dresden, Tatzberg 47-51, 01307 Dresden, Germany |
| City: | Dresden |
| Province/State: | |
| Country/Region: | Germany |
| Contact name (PI/Team): | Joan Teyra |
| Contact email (PI/Helpdesk): | joan.teyra@biotec.tu-dresden.de |
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SCOWLP: a web-based database for detailed characterization and visualization of protein interfaces. [PMID: 16512892]
BACKGROUND: Currently there is a strong need for methods that help to obtain an accurate description of protein interfaces in order to be able to understand the principles that govern molecular recognition and protein function. Many of the recent efforts to computationally identify and characterize protein networks extract protein interaction information at atomic resolution from the PDB. However, they pay none or little attention to small protein ligands and solvent. They are key components and mediators of protein interactions and fundamental for a complete description of protein interfaces. Interactome profiling requires the development of computational tools to extract and analyze protein-protein, protein-ligand and detailed solvent interaction information from the PDB in an automatic and comparative fashion. Adding this information to the existing one on protein-protein interactions will allow us to better understand protein interaction networks and protein function. |