Antibody structural modeling with prediction of immunoglobulin structure (PIGS)

Paolo Marcatili, Pier Paolo Olimpieri, Anna Chailyan, Anna Tramontano

Research output: Contribution to journalArticlepeer-review

54 Scopus citations


© 2014 Nature America, Inc. All rights reserved. Antibodies (or immunoglobulins) are crucial for defending organisms from pathogens, but they are also key players in many medical, diagnostic and biotechnological applications. The ability to predict their structure and the specific residues involved in antigen recognition has several useful applications in all of these areas. Over the years, we have developed or collaborated in developing a strategy that enables researchers to predict the 3D structure of antibodies with a very satisfactory accuracy. The strategy is completely automated and extremely fast, requiring only a few minutes (~10 min on average) to build a structural model of an antibody. It is based on the concept of canonical structures of antibody loops and on our understanding of the way light and heavy chains pack together.
Original languageEnglish (US)
Pages (from-to)2771-2783
Number of pages13
JournalNature Protocols
Issue number12
StatePublished - Nov 6 2014
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The authors are grateful to all the members of the Sapienza University of Rome Biocomputing Group for their help and assistance. We are thankful to the King Abdullah University of Science and Technology (KAUST) for financial support.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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