Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Antibodies are capable of specifically recognizing and binding antigens. Identification of the antigen-binding site, commonly dubbed paratope, is of high importance both for medical and biological applications. To date, the identification of antigen-binding regions (ABRs) relies on tools for the identification of complementarity-determining regions (CDRs). Hover,  have shown that up to 22% of the residues that actually bind the antigen fall outside the traditionally defined CDRs. The Paratome b server predicts the ABRs of an antibody, given its amino acid sequence or 3D structure. It is based on a set of consensus regions derived from a structural alignment of a non-redundant set of all known antibody–antigen complexes. Given a query sequence or structure, the server identifies the regions in the query antibody that correspond to the consensus ABRs. An independent set of antibody–antigen complexes was used to test the server and it was shown to correctly identify at least 94% of the antigen-binding residues. The Paratome b server is freely available at http://www.ofranlab.org/paratome/.
['Vered Kunik', 'Shaul Ashkenazi', 'Yanay Ofran']
I am writing a research paper on a idea Paratome: an online tool for systematic identification of antigen-binding regions in antibodies based on sequence or structure.
[{"from": "human", "value": "I am writing a research paper on a idea Paratome: an online tool for systematic identification of antigen-binding regions in antibodies based on sequence or structure."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Antibodies are capable of specifically recognizing and binding antigens. Identification of the antigen-binding site, commonly dubbed paratope, is of high importance both for medical and biological applications. To date, the identification of antigen-binding regions (ABRs) relies on tools for the identification of complementarity-determining regions (CDRs). Hover,  have shown that up to 22% of the residues that actually bind the antigen fall outside the traditionally defined CDRs. The Paratome b server predicts the ABRs of an antibody, given its amino acid sequence or 3D structure. It is based on a set of consensus regions derived from a structural alignment of a non-redundant set of all known antibody\u2013antigen complexes. Given a query sequence or structure, the server identifies the regions in the query antibody that correspond to the consensus ABRs. An independent set of antibody\u2013antigen complexes was used to test the server and it was shown to correctly identify at least 94% of the antigen-binding residues. The Paratome b server is freely available at http://www.ofranlab.org/paratome/."}]