Provides a first-generation hierarchical model of autophagy. AtgO is based on publicly available molecular interaction networks in S. cerevisiae. It contains up-to-date biological findings and a compendium of networks of nine different data types, including protein interactions, genetic interactions, gene co-expression, and gene-gene similarity based on shared protein sequence and structural information.
An extensively-curated database dedicated for researchers working on yeast apoptosis. It is an open platform established to facilitate the organization and sharing of knowledge. yApoptosis structurally collects annotated information of apoptotic genes such as pathway information, GO terms, relevant literature, and provides additional links to protein information, gene expression and interaction data.
Provides information about potential caspase cleavage sites in a verified set of human proteins involved in NDs. CaspNeuroD is a relational database of in silico predicted caspase cleavage sites in human proteins associated with NDs. This database could be used for identifying new caspase substrates and further our understanding of the caspase-mediated substrate cleavage in NDs. It provides also information about the conservation of cleavage positions in corresponding orthologs, and information about the positions of single nucleotide polymorphisms and posttranslational modifications (PTMs) that may modulate the caspase cleavage efficiency.
A dedicated database of 82 apoptosis proteins. ApoCanD comprises of crucial information of apoptosis proteins in the context of cancer. Genomic status of proteins in the form of mutation, copy number variation and expression in thousands of tumour samples and cancer cell lines are the major bricks of this database. Availability of other information e.g. gene essentiality data, tertiary structure, sequence alignments, sequences profiles, post-translational modifications makes it even more useful for the researchers. ApoCanD provides plenty of opportunities for the researchers in exploring the role of apoptosis in cancer.
Provides a data resource for autophagy researches. ARN collects up to 1480 proteins with more than 4000 of autophagy components in humans. It also contains more than 400 transcription factors (TF) and 380 miRNA that can serve to adjust autophagy components and their protein regulators including signaling pathways from the SignaLink 2 resource. Disease and cancer type annotations are available for each protein in this database.
A reference for all scientists working on p53, including information on p53 structure and function, the description of all p53 monoclonal antibodies and the phylogenetic analysis of p53. More than 50% of human tumors carry TP53 gene mutations and in consequence more than 45,000 somatic and germline mutations have been gathered in the UMD TP53 database. Analyses of these mutations have been invaluable for bettering our knowledge on the structure-function relationships within the TP53 protein and the high degree of heterogeneity of the various TP53 mutants in human cancer.
A database of proteins involved in cell death. DeathBase compiles relevant data on the function, structure and evolution of proteins involved in apoptosis and other forms of cell death in several organisms. Information contained in this database is subjected to manual curation. You can contribute to maintain the DeathBase by editing the wikipage for any protein.