Proteomics Resources
Retrieve descriptive information about the bacterial and other model organisms' proteins identified on 2-D PAGE maps.
Process and analyze bacterial genome, transcriptome and proteome data.
Discover candidates for the next generation of vaccines, therapeutics and diagnostics against NIAID's Category A, B and C priority pathogens.
A statistical tool for quantitative analysis of -omics data.
Search for information on proteomes and two-dimensional (2D) gels.
Tracking the levels and locations of a human proteins in cells over time using a library of annotated reporter cell clones.
Use a collection of tools for protein analyses.
A web-based database for comparative proteomics of Escherichia coli.
Retrieve protein information from a variety of sources, including SwissProt, PIR, PRF, PDB, and translations from annotated coding regions in GenBank and RefSeq.
Predict protein disulfide bonds in protein sequences.
Search for two-dimensional gel electrophoresis (2DE) gel patterns of proteomes from organisms with known genome information.
Superimpose annotation information over gene ontology structures.
Characterize functions of unknown Escherichia coli K-12 proteins.
Find information about microbial proteomes.
A database presenting experiment-based results in human proteomics.
A community portal for sharing and integration of human protein data.
Find information about enzyme reaction pathways.
Search for comprehensive protein index of human, mouse, and other higher eukaryotic organisms.
Search one or more of the common proteomic databases for specific proteins and/or peptides and to contrast and compare the results.
Explore the biology of organisms with completely deciphered genomes and proteomes.
Simulate and analyze proteomics data using virtual two-dimensional (2D) protein gels.
Search Clusters of Orthologous Groups of protein (COGs) for seven (nearly) complete eukaryotic genomes.
Search for information on organellar, cellular, tissue and body fluid proteomes generated by mass spectrometry based proteomics technology.
A tool that allows facile and in-depth visualization of prokaryotic transcriptomic and proteomic data in conjunction with genomics data.
Search for protein sequence-related information based on whole-genome analysis.
Analyze differential protein expression in large data sets.
Conduct proteome comparisons.
Search large MS/MS datasets.
Search for mass spectrometry based proteomics data of various model organisms.
Search for integrated and annotated information of proteins.
Databases for analyzing proteolytic events and pathways.
Search for experimentally identified protein and peptides.
Find information about the biological function of proteins whose structures have been identified by the Protein Structure Initiative.
A searchable archive for peptide sequences and associated biological data.
A web application that facilitates a high resolution mapping of measured molecular masses to peptides and proteins, irrespectively of the enzyme/digestion method used.
Find information about protein structure.
Predict signal peptide sequences and their cleavage positions in bacterial and eukaryotic amino acid sequences.
Predict and visualize functional associations among genes and proteins in many different organisms.
Find information about protein group classifications.
Calculate the effect of single or multiple posttranslational modifications (PTMs) on protein isoelectric point (pI) and molecular weight and displays the calculated patterns as two-dimensional (2D) gel images.
Identify and characterize proteins using mass spectra data from x91top-downx92 fragmentation of intact protein ions (i.e. without any tryptic digestion).
Use to design truncation constructs of a protein under investigation.
Predict various properties of each protein in an entire proteome.
Get more information out of tandem mass spectrometry proteomics experiments.
Perform systematic comparison of proteome data among species.
Search for data on proteins identified on various 2-D PAGE and SDS-PAGE reference maps.
Search for motifs within proteins that are likely to be phosphorylated by specific protein kinases or bind to domains such as SH2 domains, 14-3-3 domains or PDZ domains.
Use various software tools to conduct proteomics research.
Search for comprehensive information on known or predicted to be related to the synapse* or synaptic activity.
Find information about the proteins present in human body fluid.
Identify human disease-related mutated proteins within mass spectrometry results.
Perform large-scale multiplexed protein quantitation based on the iTRAQ labeling method.
Search for information on peptides identified in a large set of tandem mass spectrometry proteomics experiments from various organisms.
Search for a wealth of protein information presented in graphical images and with links to other protein-related Internet sites.
Get more out of high-resolution mass spectra data.
Search for information on protein post-translational modifications (PTMs).
Search for annotated information on subcellular localization of eukaryotic proteomes.