PSINDB: The postsynaptic protein-protein interaction database

Kálmán Zsófia Etelka and Dudola Dániel and Meszáros B. and Gáspári Zoltán and Dobson László: PSINDB: The postsynaptic protein-protein interaction database.
DATABASE-JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2022. ISSN 1758-0463 (2022)

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Item Type: Article
Creators:
CreatorsORCIDMTMT szerző azonosító
Kálmán Zsófia Etelka10065249
Dudola Dániel10052363
Meszáros B.
Gáspári Zoltán10001271
Dobson László10050230
Abstract: The postsynaptic region is the receiving part of the synapse comprising thousands of proteins forming an elaborate and dynamically changing network indispensable for the molecular mechanisms behind fundamental phenomena such as learning and memory. Despite the growing amount of information about individual protein-protein interactions (PPIs) in this network, these data are mostly scattered in the literature or stored in generic databases that are not designed to display aspects that are fundamental to the understanding of postsynaptic functions. To overcome these limitations, we collected postsynaptic PPIs complemented by a high amount of detailed structural and biological information and launched a freely available resource, the Postsynaptic Interaction Database (PSINDB), to make these data and annotations accessible. PSINDB includes tens of thousands of binding regions together with structural features, mediating and regulating the formation of PPIs, annotated with detailed experimental information about each interaction. PSINDB is expected to be useful for various aspects of molecular neurobiology research, from experimental design to network and systems biology-based modeling and analysis of changes in the protein network upon various stimuli. © 2022 The Author(s). Published by Oxford University Press.
Journal or Publication Title: DATABASE-JOURNAL OF BIOLOGICAL DATABASES AND CURATION
Date: 2022
Volume: 2022
ISSN: 1758-0463
Institution: Pázmány Péter Katolikus Egyetem
Kar: Információs Technológiai és Bionikai Kar (2013.07.-)
Nyelv: angol
MTMT rekordazonosító: 32766209
Date Deposited: 2024. Nov. 08. 11:22
Last Modified: 2024. Nov. 08. 11:22
URI: https://publikacio.ppke.hu/id/eprint/1623

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