SphinxH3 is a protein loop modelling algorithm, specifically created to model antibody CDR H3 loops, that combines knowledge-based and ab initio approaches. Given an antibody structure, location of the H3 loop to be modelled and its sequence, it searches a database of antibody fragments for sections of other proteins that are shorter than the target loop, but that may have some structural similarity. By using ab initio techniques, the loop conformations can be made to be the correct length. Once a set of conformations has been produced, a fast statistical potential is used to cull the set to only 500 structures, which are then scored using SOAP-Loop (Dong et al., 2013) to produce a ranking.
If you'd rather use the General Protein Loop Sphinx, please click here.
If you are not sure how to use Sphinx, please look at the submission guidelines here.
If you would like to see what kind of results you can expect, please see here.
If you have not already done so, we recommend first running FREAD, a knowledge-based algorithm which can also produce accurate predictions but requires less computation time. It can be found here.
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