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MoKCa Members of the protein kinase family are amongst the most commonly mutated genes in human cancer, and both mutated and activated protein kinases have proved to be tractable targets for the development of new anticancer therapies. The MoKCa database (Mutations of Kinases in Cancer) has been developed to structurally and functionally annotate, and where possible predict, the phenotypic consequences of mutations in protein kinases implicated in cancer. Protein kinases are a group of proteins that add phosphate groups to proteins. There are over 500 documented mammalian protein kinases encoded in the human genome, which together represent the largest family of human enzymes, collectively termed the kinome. They play indispensable roles in numerous cellular, metabolic and signalling pathways, in all cell types. For further information about Mokca, see our publication in Nucleic Acids Research, available as a free-access PDF. MoKCa database--mutations of kinases in cancer Christopher J.

PRENbase HumanPRENbase is a derivate of PRENbase with focus on human prenylated proteins. In PRENbase, paralogous proteins are clustered together in their respective larger family when they are highly similar to each other. This happens, for example, with the different Ras proteins H-Ras, K-Ras, N-ras, etc. Paralogues can nevertheless have different functions or often similar but more specialized roles. Especially in the light of the importance of prenylation of several members of the Ras, Rab and Rho GTPase families, we sought a solution to investigate the prenylation status of individual human proteins rather than larger families they are part of. Click here to go back to PRENbase! The listed status annotation is taken from the general PRENbase cluster. To start with, the default settings will give access to the collection of both known and predicted prenylated proteins clustered around individual human proteins, which can then be browsed. Review of previous knowledge of prenylated proteins:

FANTOM3::Databases CMAP Skip to end of metadataGo to start of metadata The NCI CBIIT instance of the Cancer Molecular Analysis Project (CMAP) was retired in May 2013 and is no longer supported. The CMAP was focused on collecting information on molecular targets and clinical trials associated with cancer. Other currently maintained sites that have similar datatypes include: The Cancer Genome Atlas (TCGA) Therapeutically Applicable Research to Generate Effective Treatments (TARGET) Cancer Target Discovery and Development (CTD2) NCI Targeted Cancer Therapy NCI Clinical Trials

PhosphoPOINT: a comprehensive human kinase interactome and phospho-protein database The Tumor Gene Databases The Tumor Gene Family of Databases contains information about genes which are targets for cancer-causing mutations; proto-oncogenes and tumor supressor genes. Its goal is to provide a standard set of facts (e.g. protein size, biochemical activity, chromosomal location, ...) about all known tumor genes. At present, the database contains over 2600 facts on over 300 genes. These databases are designed to for biomedical researchers who work with tumor genes. Historically, the Tumor Gene Database was developed as a family of more specialized databases; the Tumor Gene Database itself, the Breast Cancer Gene Database, and the Oral Cancer Gene Database. Search for a Gene or Locus by Name This page will search our list of gene name synonyms and return a list of links for each gene found. You can use the usual * character as a wildcard.

Peptide Atlas PeptideAtlas Overview The long term goal of the PeptideAtlas project is full annotation of eukaryotic genomes through a thorough validation of expressed proteins. The PeptideAtlas provides a method and a framework to accommodate proteome information coming from high-throughput proteomics technologies. The online database administers experimental data in the public domain. We encourage you to contribute to the database. Details of the PeptideAtlas construction can be found within the first publication. A protein mixture sample is prepared (perhaps labeled, digested with trypsin, purified, separated using chromotography). The sample is run through a mass spectrometer (e.g., ESI MS/MS). The MS/MS spectra are compared to theoretical spectra (SEQUEST, X! The peptide identifications are scored, formed into false and true positive distributions, and subsequently filtered to retain only the highest scoring identifications (PeptideProphet).

Aspic - homepage Notice : Undefined variable: viewresults in /mitochondria/bioinformatics/htdocs/online_htdocs/ASPIC2/Top.php on line 52 Aspic Homepage ASPic (Alternative Splicing Prediction) is a web-based tool to detect the exon-intron structure of a gene by comparing its genomic sequence to the related cluster of ESTs. Bonizzoni P, Rizzi R, Pesole G. Gene View Transcript View pancreatic databse Welcome to Pancreatic Cancer Gene Database The pancreatic cancer gene database (PC-GDB), provides information on the genes that are involved in pancreatic cancer and this data is targeted to help the biological and medical sciences community for easier access of the latest information on genes causing pancreatic cancer. The data in PC-GDB is extracted from the published biomedical research literature and stored as a collection of ‘facts These facts of the gene are in turn categorized into 30 different topics. This grouping facilitates quick searches and rapid retrieval of data. The data in PC-GDB is reviewed by the editor and the curator before being made public. This database contains information about 96 genes which are targets for cancer-causing mutations in pancreatic cancers.

The Oral Cancer Gene Database The Tumor Gene Family of Databases contains information about genes which are targets for cancer-causing mutations; proto-oncogenes and tumor supressor genes. Its goal is to provide a standard set of facts (e.g. protein size, biochemical activity, chromosomal location, ...) about all known tumor genes. At present, the database contains over 2600 facts on over 300 genes. These databases are designed to for biomedical researchers who work with tumor genes. Anyone is free to search it, but if you are not in this group, it may not be very useful to you. Historically, the Tumor Gene Database was developed as a family of more specialized databases; the Tumor Gene Database itself, the Breast Cancer Gene Database, and the Oral Cancer Gene Database. Search for a Gene or Locus by Name This page will search our list of gene name synonyms and return a list of links for each gene found. You can use the usual * character as a wildcard.

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