TY - JOUR
T1 - Shapes of antibody binding sites
T2 - Qualitative and quantitative analyses based on a geomorphic classification scheme
AU - Lee, Michelle
AU - Lloyd, Peter
AU - Zhang, Xiyun
AU - Schallhorn, Julie M.
AU - Sugimoto, Keiki
AU - Leach, Andrew G.
AU - Sapiro, Guillermo
AU - Houk, K. N.
PY - 2006/7/7
Y1 - 2006/7/7
N2 - The topography of antibody binding sites has been classified into five types that evoke familiar geomorphic features of the Earth. The 229 antibody crystal structures from the Protein Data Bank were analyzed and classified into these classes. Relationships to previous topography classifications by Rees et al., who defined three classes, and Thornton et al., who defined four classes, are identified. An algorithm was developed to identify the antibody binding site class automatically based on the definition and the shape of the binding site. A three-dimensional convex hull was formed around the complementarity determining regions (CDRs) of the antibody. The convex hull was then "trimmed" to fit the binding site by using distance criteria and morphological techniques. Once the program identified the binding site shape, a statistical and distance based analysis was performed to classify automatically the antibody into one of the five geomorphic classes. The five antibody topography classes are as follows: cave (mostly hapten binders), crater (mostly protein and peptide/carbohydrate/nucleic acid binders), canyon, valley, and plain (mostly protein binders). Comparisons of the binding sites of empty and of complexed antibody binding sites gave an indication of how the shape of the binding site is influenced by binding of the antigen.
AB - The topography of antibody binding sites has been classified into five types that evoke familiar geomorphic features of the Earth. The 229 antibody crystal structures from the Protein Data Bank were analyzed and classified into these classes. Relationships to previous topography classifications by Rees et al., who defined three classes, and Thornton et al., who defined four classes, are identified. An algorithm was developed to identify the antibody binding site class automatically based on the definition and the shape of the binding site. A three-dimensional convex hull was formed around the complementarity determining regions (CDRs) of the antibody. The convex hull was then "trimmed" to fit the binding site by using distance criteria and morphological techniques. Once the program identified the binding site shape, a statistical and distance based analysis was performed to classify automatically the antibody into one of the five geomorphic classes. The five antibody topography classes are as follows: cave (mostly hapten binders), crater (mostly protein and peptide/carbohydrate/nucleic acid binders), canyon, valley, and plain (mostly protein binders). Comparisons of the binding sites of empty and of complexed antibody binding sites gave an indication of how the shape of the binding site is influenced by binding of the antigen.
UR - http://www.scopus.com/inward/record.url?scp=33745728310&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745728310&partnerID=8YFLogxK
U2 - 10.1021/jo052659z
DO - 10.1021/jo052659z
M3 - Article
C2 - 16808494
AN - SCOPUS:33745728310
SN - 0022-3263
VL - 71
SP - 5082
EP - 5092
JO - Journal of Organic Chemistry
JF - Journal of Organic Chemistry
IS - 14
ER -