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Updated: May 5, 2026

A Mass Spectrometry-Based Approach to Identify Phosphoprotein Phosphatases and their Interactors
Published on: April 29, 2022
P³DB 3.0: From plant phosphorylation sites to protein networks
Qiuming Yao1, Huangyi Ge, Shangquan Wu
1Department of Computer Science, University of Missouri, Columbia, MO 65211, USA, Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA, School of Communication and Information Engineering, Shanghai University, Shanghai 200444, People's Republic of China, Department of Biology, Brandeis University, MA 02453, USA, Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA and Department of Biochemistry, University of Missouri, Columbia, MO 65211, USA.
Abstract:
In the past few years, the Plant Protein Phosphorylation Database (P(3)DB, http://p3db.org) has become one of the most significant in vivo data resources for studying plant phosphoproteomics. We have substantially updated P(3)DB with respect to format, new datasets and analytic tools. In the P(3)DB 3.0, there are altogether 47 923 phosphosites in 16 477 phosphoproteins curated across nine plant organisms from 32 studies, which have met our multiple quality standards for acquisition of in vivo phosphorylation site data. Centralized by these phosphorylation data, multiple related data and annotations are provided, including protein-protein interaction (PPI), gene ontology, protein tertiary structures, orthologous sequences, kinase/phosphatase classification and Kinase Client Assay (KiC Assay) data--all of which provides context for the phosphorylation event. In addition, P(3)DB 3.0 incorporates multiple network viewers for the above features, such as PPI network, kinase-substrate network, phosphatase-substrate network, and domain co-occurrence network to help study phosphorylation from a systems point of view. Furthermore, the new P(3)DB reflects a community-based design through which users can share datasets and automate data depository processes for publication purposes. Each of these new features supports the goal of making P(3)DB a comprehensive, systematic and interactive platform for phosphoproteomics research.
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