HumanPSDTM release 2018.1 is available now

The Human Proteome Survey Database (HumanPSDTM) is a catalog of proteins and their complexes from human cells, plus their orthologs from mouse and rat sources.
Its main focus is on the association of human proteins with diseases as well as on their potential use as biomarkers.

Drugs targeting human proteins are reported. In addition, information can be retrieved on the molecular functions, biological roles, localization, and modifications of proteins, expression patterns across cells, tissues, organs, and tumors, consequences of gene mutations in mice, and the physical and regulatory interactions between proteins and genes. The TRANSPATH® database on signal transduction and metabolic pathways is an integral part of HumanPSDTM.

Picture of HumanPSD

Contents of a standard locus report of HumanPSD

Biomarker Associations
Diseases associated with MYC
Inherit MYC mutations
Drug Interactions
Drug(s) targeting MYC
Gene Ontology
Molecular function
Biological process
Cellular component
Tissue expression

Regulation of MYC expression

Mutant Phenotype

Mutant phenotype of closely related homolog(s)

Pathways & interactions
Protein-protein interactions
Events acting on MYC
Events triggered by MYC
Transcriptional Regulation
Add a subscription to TRANSFAC® and this report will display additional information
RNA Features
Overview of RNA sequence
Protein Features
Overview of protein sequence and structure
Post-translational modifications of MYC protein
View complex containing MYC protein
Accessions mapped to this record
Editor’s Notes
Disease related

Biomarker / disease associations

A tabular summary of literature-derived relationships between human genes and gene products with human diseases is given.
These associations are clearly sorted according to their type, e.g. whether a gene/protein has a causal relationship with a disease to develop, or whether it is merely correlative, etc.
Disease association MYC

Tabulated summary of disease associations of the human MYC gene.

Key features

Reports about more than 53,000 proteins and 5000 microRNAs.
More than 110,000 gene-disease assignments extracted from original scientific literature and evaluated by experts, referring to more than 3,800 diseases (human) or disease models (mouse).
More than 14,000 drug-protein interactions, referring to more than 8,200 drugs.
More than 580,000 assignments to Gene Ontology (GO), manually annotated and quality-checked.
More than 460,000 gene expression assignments.
More than 950,000 annotation statements given.
More than 370,000 references to peer-reviewed scientific publications provided.
An integrated Ontology Browser supports easy selection of defined sets of gene/molecules.
A tool for functional analysis allows to identify shared characteristics in a set of genes/proteins or miRNAs.
TRANSPATH included!


Quickly access detailed reports for individual genes, proteins, miRNAs, diseases,
and drugs without time-consuming literature search.
Uncover biologically relevant connections between seemingly disparate genes,
diseases, and drugs.
Identify and rank potential therapeutic targets based on known functional
Explore canonical pathways and build custom protein networks, overlaying
known disease and drug associations.

New release

PROTEOME (HumanPSD+TRANSPATH®) release 2018.1

The Human Proteome Survey Database with focus on human proteins as disease biomarkers and drug targets contains these new data features:

  • Improved biomarker retrieval from disease reports
    Biomarkers can be retrieved by type of association with the disease or by indication for the utility of the biomarker, matching the categories of the biomarker association table in a disease report. The sets of biomarkers can be exported or used as input for the PathwayBuilder visualization tool or processed by other tools.
  • Increased number of conditions in clinical trials mapped to diseases
    New data from and manual curation by experts has increased the number of Clinical Trial-Disease assignments to 664,258, leading to 362,881 CT-Disease-Drug assignments.

The TRANSPATH® database on mammalian signal transduction and metabolic pathways contains these new data features:

  • Cancer pathway list
    The canonical signal transduction pathway overview page now contains a section for pathways involved in the development of various types of cancer.


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The basic information unit is a “locus report”, which summarizes the existing knowledge about the product(s) of a gene. It is part of a hierarchy, with individual proteins (isoforms such as splice variants) encoded by a gene at a level under the locus report, and summarizing features of the orthologs of human, mouse and rat origin at a higher level.

Information downloads

HumanPSDTM Release and Statistics 2018.1 (download)
HumanPSDTM Statistics 2017.3 (download)
HumanPSDTM Features 2017.3 (download)
HumanPSD FlyerTM (download)


Stegmaier, P., Krull, M., Voss, N., Kel, A.E., Wingender, E. (2010) Molecular mechanistic associations of human diseases. BMC Syst Biol. 4, 124. doi: 10.1186/1752-0509-4-124. PubMed.

Michael, H., Hogan, J., Kel, A., Kel-Margoulis, O., Schacherer, F., Voss, N., Wingender, E. (2008) Building a knowledge base for systems pathology. Brief. Bioinform. 9, 518-531. doi: 10.1093/bib/bbn038. PubMed.

Wingender, E., Crass, T., Hogan, J.D., Kel, A.E., Kel-Margoulis, O.V., Potapov, A.P. (2007) Integrative content-driven concepts for bioinformatics “beyond the cell”. J Biosci. 32, 169-180. PubMed.

Hodges PE, Carrico, P.M., Hogan, J.D., O’Neill, K.E., Owen, J.J., Mangan, M., Davis, B.P., Brooks, J.E., Garrels, J.I. (2002) Annotating the human proteome: the Human Proteome Survey Database (HumanPSD) and an in-depth target database for G protein-coupled receptors (GPCR-PD) from Incyte Genomics. Nucleic Acids Res. 30:137-141. PubMed.

HumanPSD is a trademark of QIAGEN GmbH.