Antibody modeling using the prediction of immunoglobulin structure (PIGS) web server [corrected].
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.
Physics Department, Sapienza University of Rome, Piazzale Aldo Moro, Rome, Italy.
Paolo
P
Marcatili
Physics Department, Sapienza University of Rome, Piazzale Aldo Moro, Rome, Italy.
Pier Paolo
PP
Olimpieri
Physics Department, Sapienza University of Rome, Piazzale Aldo Moro, Rome, Italy.
Anna
A
Chailyan
1] Physics Department, Sapienza University of Rome, Piazzale Aldo Moro, Rome, Italy. [2] Istituto Pasteur - Fondazione Cenci Bolognetti, Sapienza University of Rome, Rome, Italy.
Anna
A
Tramontano
D000906:Antibodies / Q000737:chemistry* / Q000378:metabolism; D001665:Binding Sites; D007143:Immunoglobulin Heavy Chains / Q000737:chemistry; D007136:Immunoglobulins / Q000737:chemistry*; D020407:Internet; D008958:Models, Molecular; D011487:Protein Conformation; D012984:Software
D000906:Antibodies; D007143:Immunoglobulin Heavy Chains; D007136:Immunoglobulins