Abstract

Pharmaceutical heparin’s activity arises from a key high affinity and high selectivity antithrombin binding motif, which forms the basis for its use as an anticoagulant. The current problems with the supply of pig heparin raises the emphasis of understanding heparin biosynthesis so as to control and advance recombinantly expressed agent that could bypass the need for animals. Unfortunately, much remains to be understood about the generation of the antithrombin-binding motif by the key enzyme involved in its biosynthesis, 3-O-sulfotransferase–1 (3OST-1). In this work, we present a novel computational approach to understand recognition of oligosaccharide sequences by 3OST-1. Application of combinatorial virtual library screening (CVLS) algorithm on hundreds of tetrasaccharide and hexasaccharide sequences shows that 3OST-1 belongs to the growing number of proteins that recognize glycosaminoglycans with very high selectivity. It prefers very well defined pentasaccharide sequences carrying distinct groups in each of the five residues to generate the antithrombin binding motif. CVLS also identifies key residues including His271, Arg72, Arg197 and Lys173, which interact with 6-sulfate, 5-COO¯, 2-/6-sulfates and 2-sulfate at the −2, −1, +2, and +1 positions of the precursor pentasaccharide, respectively. Additionally, uncharged residues, especially Gln163 and Asn167, were also identified as playing important roles in recognition. Overall, the success of CVLS in predicting 3OST-1 recognition characteristics that help engineer selectivity lead to the expectation that recombinant enzymes could be designed to help resolve the current problems in the supply of anticoagulant heparin.

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