We describe here a superposition free method for comparing the surfaces of antibody binding sites based on the Zernike moments and show that they can be used to quickly compare and cluster sets of antibodies. The clusters provide information about the nature of the bound antigen that, when combined with a method for predicting the number of direct antibody antigen contacts, allows the discrimination between protein and non-protein binding antibodies with an accuracy of 76%. This is of relevance in several aspects of antibody science, for example to select the framework to be used for a combinatorial antibody library.

Superposition-free comparison and clustering of antibody binding sites: implications for the prediction of the nature of their antigen / DI RIENZO, Lorenzo; Milanetti, Edoardo; Lepore, Rosalba; Olimpieri, Pier Paolo; Tramontano, Anna. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - ELETTRONICO. - 7:(2017), p. 45053. [10.1038/srep45053]

Superposition-free comparison and clustering of antibody binding sites: implications for the prediction of the nature of their antigen

DI RIENZO, LORENZO;Milanetti, Edoardo;Lepore, Rosalba;Olimpieri, Pier Paolo
;
Tramontano, Anna
2017

Abstract

We describe here a superposition free method for comparing the surfaces of antibody binding sites based on the Zernike moments and show that they can be used to quickly compare and cluster sets of antibodies. The clusters provide information about the nature of the bound antigen that, when combined with a method for predicting the number of direct antibody antigen contacts, allows the discrimination between protein and non-protein binding antibodies with an accuracy of 76%. This is of relevance in several aspects of antibody science, for example to select the framework to be used for a combinatorial antibody library.
2017
Antibody structure; antigen predictio; superposition-free antibody comparison
01 Pubblicazione su rivista::01a Articolo in rivista
Superposition-free comparison and clustering of antibody binding sites: implications for the prediction of the nature of their antigen / DI RIENZO, Lorenzo; Milanetti, Edoardo; Lepore, Rosalba; Olimpieri, Pier Paolo; Tramontano, Anna. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - ELETTRONICO. - 7:(2017), p. 45053. [10.1038/srep45053]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1019534
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