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. 2021 May 11;11:9967. doi: 10.1038/s41598-021-88945-7

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© The Author(s) 2021, corrected publication 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Structure of the SQLite database, which includes 58 synaptic studies covering 8087 unique genes and 407,643 direct protein interactions. Grey ovals on the top show the annotated metadata: left—for nodes/ genes, which include brain region, subcellular compartment, method of extraction, disease and GO function annotation and link to published quantitative models; right—for edges/PPIs, which include PSI-MI type and method. The orange ovals in the bottom illustrate the possible outcomes of the database, including: (1) information for specific protein/gene, and (2) information that could be obtained from PPI network, e.g., protein’s topological importance, community to disease relationship, and disease-disease comorbidity. The database is available as a Supplementary File and from Edinburgh DataShare https://doi.org/10.7488/ds/3017.