Literature DB >> 16808494

Shapes of antibody binding sites: qualitative and quantitative analyses based on a geomorphic classification scheme.

Michelle Lee1, Peter Lloyd, Xiyun Zhang, Julie M Schallhorn, Keiki Sugimoto, Andrew G Leach, Guillermo Sapiro, K N Houk.   

Abstract

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.

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Year:  2006        PMID: 16808494     DOI: 10.1021/jo052659z

Source DB:  PubMed          Journal:  J Org Chem        ISSN: 0022-3263            Impact factor:   4.354


  16 in total

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4.  Applying Pose Clustering and MD Simulations To Eliminate False Positives in Molecular Docking.

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5.  Structural basis for antibody recognition in the receptor-binding domains of toxins A and B from Clostridium difficile.

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Review 7.  The importance of discerning shape in molecular pharmacology.

Authors:  Sandhya Kortagere; Matthew D Krasowski; Sean Ekins
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8.  Blind prediction performance of RosettaAntibody 3.0: grafting, relaxation, kinematic loop modeling, and full CDR optimization.

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Journal:  Proteins       Date:  2014-03-31

9.  Importance of ligand conformational energies in carbohydrate docking: Sorting the wheat from the chaff.

Authors:  Anita K Nivedha; Spandana Makeneni; Bethany Lachele Foley; Matthew B Tessier; Robert J Woods
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10.  Sensitive and specific detection of the non-human sialic Acid N-glycolylneuraminic acid in human tissues and biotherapeutic products.

Authors:  Sandra L Diaz; Vered Padler-Karavani; Darius Ghaderi; Nancy Hurtado-Ziola; Hai Yu; Xi Chen; Els C M Brinkman-Van der Linden; Ajit Varki; Nissi M Varki
Journal:  PLoS One       Date:  2009-01-21       Impact factor: 3.240

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