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KEGG (Kyoto Encyclopedia of Genes and Genomes) is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances.KEGG is utilized for bioinformatics research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.
The ConsensusPathDB is a molecular functional interaction database, integrating information on protein interactions, genetic interactions signaling, metabolism, gene regulation, and drug-target interactions in humans. ConsensusPathDB currently (release 30) includes such interactions from 32 databases. [1]
database of protein similarities computed using FASTA: Protein model databases Swiss-model: server and repository for protein structure models Protein model databases AAindex: database of amino acid indices, amino acid mutation matrices, and pair-wise contact potentials Protein model databases BioGRID: Samuel Lunenfeld Research Institute
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Each article at WikiPathways is dedicated to a particular pathway. Many types of molecular pathways are covered, including metabolic, [7] signaling, regulatory, etc. and the supported [8] species include human, mouse, zebrafish, fruit fly, C. elegans, yeast, rice and arabidopsis, [9] as well as bacteria and plant species.
[8] [9] Foreseeing the need for a computerized resource that can be used for biological interpretation of genome sequence data, he started developing the KEGG PATHWAY database. It is a collection of manually drawn KEGG pathway maps representing experimental knowledge on metabolism and various other functions of the cell and the organism .
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The database includes chemical data, clinical data and molecular/biochemistry data from literature and experiment. This database also references many other databases, such as KEGG , PubChem , MetaCyc , ChEBI , PDB , Swiss-Prot , GenBank , and Human Metabolome Database ( HMDB ).