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A monoclonal antibody (mAb, more rarely called moAb) is an antibody produced from a cell lineage made by cloning a unique white blood cell. All subsequent antibodies derived this way trace back to a unique parent cell.
By providing information on mechanism of action, epitope mapping is a critical component in therapeutic monoclonal antibody (mAb) development. Epitope mapping can reveal how a mAb exerts its functional effects - for instance, by blocking the binding of a ligand or by trapping a protein in a non-functional state.
The nomenclature of monoclonal antibodies is a naming scheme for assigning generic, or nonproprietary, names to monoclonal antibodies.An antibody is a protein that is produced in B cells and used by the immune system of humans and other vertebrate animals to identify a specific foreign object like a bacterium or a virus.
This list of over 500 monoclonal antibodies includes approved and investigational drugs as well as drugs that have been withdrawn from market; consequently, the column Use does not necessarily indicate clinical usage. See the list of FDA-approved therapeutic monoclonal antibodies in the monoclonal antibody therapy page.
IMGT or the international ImMunoGeneTics information system is a collection of databases and resources for immunoinformatics, particularly the V, D, J, and C gene sequences, as well as a providing other tools and data related to the adaptive immune system. [1]
3D structure protein databases, Protein sequence databases MobiDB: Database of intrinsically disordered and mobile proteins: John Moult, Christine Orengo, Predrag Radivojac University of Padua: Italian Government database of intrinsic protein disorder annotation 3D structure protein databases, Protein sequence databases ModBase
The loops, or three-dimensional structures of the non-H3 CDRs (all CDRs but H3) of antibodies have been clustered and classified by Chothia et al. [6] and more recently by North et al. [7] Homology modeling is a computational method to build tertiary structures from amino-acid sequences. The so-called H3-rules are empirical rules to build ...
UniRef100 sequences are clustered using the CD-HIT algorithm to build UniRef90 and UniRef50. [20] [21] Each cluster is composed of sequences that have at least 90% or 50% sequence identity, respectively, to the longest sequence. Clustering sequences significantly reduces database size, enabling faster sequence searches.