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HPRD / Human Protein Reference Database
Provides access to experimentally derived information about the human proteome including protein–protein interactions (PPIs), post-translational modifications (PTMs) and tissue expression. HPRD is an integrated knowledgebase for genomic and proteomic investigators. The database also includes (i) PhosphoMotif Finder that contains known kinase/phosphatase substrate and binding motifs, (ii) links to a signaling pathway resource called NetPath, (iii) a distributed annotation system, called Human Proteinpedia for enhanced community participation and allows the use of BLAST for querying mRNA/protein data.
Allows the retrieval of phosphorylation, acetylation, and N-glycosylation data of any protein of interest. PHOSIDA lists posttranslational modification sites associated with particular projects and proteomes or, alternatively, displays posttranslational modifications found for any protein or protein group of interest. In addition, structural and evolutionary information on each modified protein and posttranslational modification site is integrated. Importantly, Phosida links extensive peptide information to the sites, such as several peptides implicating the same site and temporal profiles of each site in response to stimulus (e.g., EGF stimulation).
An open access database for storage, sharing and visualization of data related with the human T-lymphocyte phosphoproteome. LymPHOS aims to provide a complete set of experimental data including chromatographic and spectrometric information. Current release 2.0 contains 15 566 phosphorylation sites from 8273 unique phosphopeptides and 4937 proteins, which correspond to a 45-fold increase over the original database description. All MS2 and MS3 spectra justifying a p-site assignation are provided together with the corresponding Sequest, OMSSA, Phenyx, Peaks or EasyProt identification scores and p-site assignation scores (Q-Ascore). LymPHOS now includes quantitative data on phosphorylation changes after time-dependent treatment with activators of the TCR-mediated signal transduction pathway. Sequence data quality has also been improved with the use of multiple search engines for database searching. The web-based user interface allows searching phosphorylation sites on specific proteins and/or peptides as well as browsing the entire database, in all cases having experimental data to support each phosphorylation site assignment.
RIKEN Plant Phosphoproteome Database
Supplies information about phosphopeptides which were identified from Arabidopsis and rice cells by liquid chromatography-mass spectrometry (LC-MS) and tandem mass spectrometry (MS/MS)-based shotgun phosphoproteomics approach. The RIPP-DB allows users to predict conserved phosphorylation sites in plants thanks to alignment views of orthologous proteins in Arabidopsis and rice mapped with the identified phosphopeptides. Data statistics are available directly on the homepage. These contents can be downloaded by users.
Supplies a repository composed of 3D structures of phosphorylation sites (P-sites) stemmed from the Phospho.ELM database. Phospho3D enhances data from the previous database at the residue level with annotations and structural information. Moreover, it gathers results of a large-scale structural comparison procedure to allow identification of new putative phosphorylation sites. Additionally, it offers a tool which permit to compare a protein structure to the collected dataset.
KANPHOS / Kinase-Associated Neural Phospho-Signaling
Provides phosphorylated sites for kinases. KANPHOS offers a tuple of a kinase, its substrate, the extracellular signal for the phosphorylation, and the experimental condition used for the identification. It permits users to search data in three ways: (1) searching for substrates phosphorylated by a specific kinase; (2) searching for kinases phosphorylating a specific protein; and (3) searching for kinases and their target substrates involved in a specific signaling pathway.
SoyKB / Soybean Knowledge Base
A comprehensive web resource developed for bridging soybean translational genomics and molecular breeding research. It provides information for six entities including genes/proteins, microRNAs/sRNAs, metabolites, single nucleotide polymorphisms, plant introduction lines and traits. It also incorporates many multi-omics datasets including transcriptomics, proteomics, metabolomics and molecular breeding data, such as quantitative trait loci, traits and germplasm information. Soybean Knowledge Base has a new suite of tools such as In Silico Breeding Program for soybean breeding, which includes a graphical chromosome visualizer for ease of navigation. It integrates quantitative trait loci, traits and germplasm information along with genomic variation data, such as single nucleotide polymorphisms, insertions, deletions and genome-wide association studies data, from multiple soybean cultivars and Glycine soja.
Permits users to visualize genome mutations in gene and protein networks. ActiveDriverDB is a proteo-genomics resource for interpreting human genome variation using post-translational modification (PTM) sites. Novice users can start from example queries of well-annotated genes. Users can also interpret candidate variants from DNA sequencing experiments and compare it with existing public datasets as well as run an automatically analysis of specific variants. Besides, it includes various search options and can generate export tables, upload and publication-quality figures.
Integrates two kinds of high-throughput phosphorylation data, protein microarray-verified kinase–substrate relationships (KSRs) and mass spectrometry (MS)-verified phosphorylation sites. Relative to other human phosphorylation-related databases, such as Phospho.ELM, PhosphoNetworks has three significant merits. First, it is a high-resolution phosphorylation network database, which connects kinases not only to their downstream substrates but also at specific phosphorylation sites on the substrates. Second, it covers a far greater number of novel identified KSRs (24 046 raw KSRs and 3656 refined KSRs) and novel predicted phosphorylation motifs (300 motifs, over double that of the previous knowledgebase). Finally, it provides some unique tools to make it easier for the user to explore and analyze the data.
Gathers experimentally verified in vivo phosphorylation sites in the Saccharomyces cerevisiae proteome. PhosphoGRID is an online database that represents a substantial expansion of the phosphosite data set, as derived from both high-throughput (HTP) and low-throughput (LTP) studies. It incorporates over 1614 unique phosphosites derived from LTP studies. The data contained in this repository assist users in the prediction of new network elements and information flow, in the form of regulated phosphorylation events.
dbPAF / database of Phospho-sites in Animals and Fungi
A curated database of dbPAF, containing known phosphorylation sites in H. sapiens, M. musculus, R. norvegicus, D. melanogaster, C. elegans, S. pombe and S. cerevisiae. From the scientific literature and public databases, we totally collected and integrated 54,148 phosphoproteins with 483,001 phosphorylation sites. Multiple options were provided for accessing the data, while original references and other annotations were also present for each phosphoprotein. dbPAF is useful for further analyses of protein phosphorylation in human and other model organisms.
Provides a searchable platform for retrieval of information regarding structure similarity, function and published literature about Plasmodium kinases and phosphatases. KiPho is a web resource provides PubMed link and google scholar link for research and review articles related to the query proteins, published till date. It uses scripts, which in turn uses Boolean logic search that includes its name, protein, new and old IDs assigned to it. This method helps the user to find all updated query protein-related publications.
dbPPT / database of Phosphorylation site in PlanTs
A comprehensive database which contains experimentally identified phosphorylation sites in proteins from plants. The phosphorylation sites in dbPPT were manually curated from the literatures, whereas datasets in other public databases were also integrated. In total, there were 82 175 phosphorylation sites in 31 012 proteins from 20 plant organisms in dbPPT, presenting a larger quantity of phosphorylation sites and a higher coverage of plant species in comparison with other databases. The proportions of residue types including serine, threonine and tyrosine were 77.99, 17.81 and 4.20%, respectively. All the phosphoproteins and phosphorylation sites in the database were critically annotated. Since the phosphorylation signaling in plants attracted great attention recently, such a comprehensive resource of plant protein phosphorylation can be useful for the research community.
A curated database of phosphorylation sites in prokaryotes for 96 prokaryotic organisms, which belong to 11 phyla in two domains including bacteria and archaea. All the phosphorylation sites were annotated with original references and other descriptions in the database, which could be easily accessed through user-friendly website interface including various search and browse options. The dbPSP database provides a comprehensive data resource for further studies of protein phosphorylation in prokaryotes.
pTestis / Phosphorylation in Testis
Provides user-friendly accession of phosphoproteome in testis. pTestis is a database that integrates all of the identified phosphorylation sites along with UniProt annotations into the database, with snapshots. Users can quickly perform various searches such as a keyword-based query and sequence-based blast. It also offers in vivo Group-based Prediction System (iGPS) prediction results, which presents potential kinase-substrate regulatory relationships.
PFP / Predict Functional Phosphosites
A tool exploring the intrinsic features of functional phosphorylation sites to predict whether a phosphosite is likely to be functional. PFP focused on evaluating the intrinsic characteristics of functional phosphosites and predicting whether a phosphosite is likely to be functional using multiple integrated characteristics. Features including conservation, kinase association and structure information were explored and compared in both known functional and background phosphosite datasets. The two datasets were classified by several trained classifiers based on feature integration.
The Phosphorylation Site Database
Provides a resource for persons seeking an entry into an emerging area of interest. The Phosphorylation Site Database is an online resource that: (i) provides content of significant utility not readily obtainable from other sources, (iii) reports information derived from accessible, verifiable sources, (iv) compiles pertinent information in a succinct format, (v) is readily searched using a variety of criteria, (vi) links users to sources of both supporting documentation and pertinent supplementary information.
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