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The Candidate Cancer Gene Database (CCGD) was developed to disseminate the results of transposon-based forward genetic screens in mice that identify candidate cancer genes. The purpose of the database is to allow cancer researchers to quickly determine whether or not a gene, or list of genes, has been identified as a potential cancer driver in a forward genetic screen in mice.

The International Chemical Safety Cards (ICSCs) are data sheets intended to provide essential safety and health information on chemicals in a clear and concise way.

GenomeTraFaC is a database of conserved regulatory elements obtained by systematically analyzing the orthologous set of human and mouse genes. It mainly focuses on all of the high-quality mRNA entries of mouse and human genes in the Reference Sequence (RefSeq) database of the NCBI.

GTR is a freely accessible database of orderable clinical and research genetic test descriptions and the laboratories that provide them. Scope includes molecular, biochemical and cytogenetic human genetic tests as well as serologic and molecular microbe tests. Test descriptions include the test targets and the conditions the tests are for, methodology, clinical and analytical validity, clinical utility and ordering information. The goals of GTR are to bring transparency to the testing field, support clinicians ordering tests and advance the public health and research into the genetic basis of health and disease.

The AlloMAPS database provides data on the energetics of communication in proteins with well-documented allosteric regulation, allosteric signalling in PDBselect chains, and allosteric effects of mutations. In addition to energetics of allosteric signaling between known functional and regulatory sites, allosteric modulation caused by the binding to these sites, by SNPs, and by mutations designated by the user can be explored. Allosteric Signaling Maps (ASMs), which are produced via the exhaustive computational scanning for stabilizing and destabilizing mutations and for the modulation range caused by the sequence position are available for each protein/protein chain in the database.

Detection of functional divergence in human protein families. Cube-DB is a database of pre-evaluated conservation and specialization scores for residues in paralogous proteins belonging to multi-member families of human proteins. Protein family classification follows (largely) the classification suggested by HUGO Gene Nomenclature Committee. Sets of orthologous protein sequences were generated by mutual-best-hit strategy using full vertebrate genomes available in Ensembl. The scores, described on documentation page, are assigned to each individual residue in a protein, and presented in the form of a table (html or downloadable xls formats) and mapped, when appropriate, onto the related structure (Jmol, Pymol, Chimera).