Publication: The binding affinities of proteins interacting with the PDZ domain of PICK1
dc.contributor.coauthor | Bolia, Ashini | |
dc.contributor.coauthor | Gerek, Z. Nevin | |
dc.contributor.coauthor | Özkan, Şefika Banu | |
dc.contributor.coauthor | Dev, Kumlesh K. | |
dc.contributor.department | Department of Chemical and Biological Engineering | |
dc.contributor.department | Department of Chemical and Biological Engineering | |
dc.contributor.kuauthor | Keskin, Özlem | |
dc.contributor.kuprofile | Faculty Member | |
dc.contributor.researchcenter | CCBB (The Center for Computational Biology and Bioinformatics) | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.yokid | 26605 | |
dc.date.accessioned | 2024-11-09T23:12:25Z | |
dc.date.issued | 2012 | |
dc.description.abstract | Protein interacting with C kinase (PICK1) is well conserved throughout evolution and plays a critical role in synaptic plasticity by regulating the trafficking and posttranslational modification of its interacting proteins. PICK1 contains a single PSD95/DlgA/Zo-1 (PDZ) proteinprotein interaction domain, which is promiscuous and shown to interact with over 60 proteins, most of which play roles in neuronal function. Several reports have suggested the role of PICK1 in disorders such as epilepsy, pain, brain trauma and stroke, drug abuse and dependence, schizophrenia and psychosis. Importantly, lead compounds that block PICK1 interactions are also now becoming available. Here, a new modeling approach was developed to investigate binding affinities of PDZ interactions. Using these methods, the binding affinities of all major PICK1 interacting proteins are reported and the effects of PICK1 mutations on these interactions are described. These modeling methods have important implications in defining the binding properties of proteins interacting with PICK1 as well as the general structural requirements of PDZ interactions. The study also provides modeling methods to support in the drug design of ligands for PDZ domains, which may further aid in development of the family of PDZ domains as a drug target. | |
dc.description.indexedby | WoS | |
dc.description.indexedby | Scopus | |
dc.description.indexedby | PubMed | |
dc.description.issue | 5 | |
dc.description.openaccess | NO | |
dc.description.publisherscope | International | |
dc.description.sponsorship | Enterprise Ireland and Science Foundation Ireland, Ireland | |
dc.description.sponsorship | National Science Foundation through TeraGrid resources (NCSA) Grant sponsors: Enterprise Ireland and Science Foundation Ireland, Ireland, National Science Foundation through TeraGrid resources (NCSA) | |
dc.description.volume | 80 | |
dc.identifier.doi | 10.1002/prot.24034 | |
dc.identifier.issn | 0887-3585 | |
dc.identifier.quartile | Q3 | |
dc.identifier.scopus | 2-s2.0-84859444323 | |
dc.identifier.uri | http://dx.doi.org/10.1002/prot.24034 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/9808 | |
dc.identifier.wos | 302541900012 | |
dc.keywords | Pick1 | |
dc.keywords | Molecular docking | |
dc.keywords | Modeling | |
dc.keywords | Binding affinity | |
dc.keywords | Ampa-receptor trafficking | |
dc.keywords | Kinase-c-alpha | |
dc.keywords | Long-term depression | |
dc.keywords | Synaptic plasticity | |
dc.keywords | HippocampaI-neurons | |
dc.keywords | Hot-spot | |
dc.keywords | Glur2 | |
dc.keywords | Idntification | |
dc.keywords | Schizophrenia | |
dc.keywords | Association | |
dc.language | English | |
dc.publisher | Wiley-Blackwell | |
dc.source | Proteins-Structure Function and Bioinformatics | |
dc.subject | Biochemistry | |
dc.subject | Molecular biology | |
dc.subject | Biophysics | |
dc.subject | Cell biology | |
dc.title | The binding affinities of proteins interacting with the PDZ domain of PICK1 | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.authorid | 0000-0002-4202-4049 | |
local.contributor.kuauthor | Keskin, Özlem | |
relation.isOrgUnitOfPublication | c747a256-6e0c-4969-b1bf-3b9f2f674289 | |
relation.isOrgUnitOfPublication.latestForDiscovery | c747a256-6e0c-4969-b1bf-3b9f2f674289 |