Homology modeling of larger proteins guided by chemical shifts.

Abstract

We describe an alternate approach to protein structure determination that relies on experimental NMR chemical shifts, plus sparse NOEs if available. The newly introduced alignment method, POMONA, directly exploits the powerful bioinformatics algorithms previously developed for sequence-based homology modeling, but does not require significant sequence similarity. Protein templates, generated by POMONA, are subsequently used as input for chemical shift based Rosetta comparative modeling (CS-RosettaCM) to generate reliable full atom models.