Your browser doesn't support javascript.
loading
Kincore: a web resource for structural classification of protein kinases and their inhibitors.
Modi, Vivek; Dunbrack, Roland L.
Afiliación
  • Modi V; Institute for Cancer Research, Fox Chase Cancer Center, Philadelphia, PA 19148, USA.
  • Dunbrack RL; Institute for Cancer Research, Fox Chase Cancer Center, Philadelphia, PA 19148, USA.
Nucleic Acids Res ; 50(D1): D654-D664, 2022 01 07.
Article en En | MEDLINE | ID: mdl-34643709
The active form of kinases is shared across different family members, as are several commonly observed inactive forms. We previously performed a clustering of the conformation of the activation loop of all protein kinase structures in the Protein Data Bank (PDB) into eight classes based on the dihedral angles that place the Phe side chain of the DFG motif at the N-terminus of the activation loop. Our clusters are strongly associated with the placement of the activation loop, the C-helix, and other structural elements of kinases. We present Kincore, a web resource providing access to our conformational assignments for kinase structures in the PDB. While other available databases provide conformational states or drug type but not both, KinCore includes the conformational state and the inhibitor type (Type 1, 1.5, 2, 3, allosteric) for each kinase chain. The user can query and browse the database using these attributes or determine the conformational labels of a kinase structure using the web server or a standalone program. The database and labeled structure files can be downloaded from the server. Kincore will help in understanding the conformational dynamics of these proteins and guide development of inhibitors targeting specific states. Kincore is available at http://dunbrack.fccc.edu/kincore.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas Quinasas / Programas Informáticos / Bases de Datos de Proteínas / Inhibidores de Proteínas Quinasas Idioma: En Revista: Nucleic Acids Res Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas Quinasas / Programas Informáticos / Bases de Datos de Proteínas / Inhibidores de Proteínas Quinasas Idioma: En Revista: Nucleic Acids Res Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
...