title: Prediction of hypervariable CDR-H3 loop structures in antibodies.
abstract: The structure of the most variable antibody hypervariable loop, CDR-H3, has been predicted from amino acid sequence alone. In contrast to other approaches predictions are made for loop lengths up to 17 residues. The predictions have been achieved using artificial neural networks which are trained on a large set of loops from the Brookhaven Protein Databank which have structures similar to CDR-H3. The loop structures are described by the two backbone dihedral angles phi and psi for each residue. For 21 CDR-H3 loops unique to the neural network, the prediction of dihedral angles leads to an average root mean square deviation in the Cartesian coordinates of 2.65 A. The present method, when combined with existing modelling protocols, provides an important addition to the structural prediction of the complementarity determining regions of antibodies.
authors.affiliation: Molecular Biophysics Department, German Cancer Research Center, Heidelberg.
authors.forename: M
authors.initials: M
authors.lastname: Reczko
authors.forename: A C
authors.initials: AC
authors.lastname: Martin
authors.forename: H
authors.initials: H
authors.lastname: Bohr
authors.forename: S
authors.initials: S
authors.lastname: Suhai
mesh_terms: D000595:Amino Acid Sequence; D016208:Databases, Factual; D007135:Immunoglobulin Variable Region / Q000737:chemistry*; D008433:Mathematics; D008969:Molecular Sequence Data; D016571:Neural Networks, Computer; D011487:Protein Conformation
chemical_list: D007135:Immunoglobulin Variable Region