title: Engineering trypsin for inhibitor resistance.
abstract: The development of effective protease therapeutics requires that the proteases be more resistant to naturally occurring inhibitors while maintaining catalytic activity. A key step in developing inhibitor resistance is the identification of key residues in protease-inhibitor interaction. Given that majority of the protease therapeutics currently in use are trypsin-fold, trypsin itself serves as an ideal model for studying protease-inhibitor interaction. To test the importance of several trypsin-inhibitor interactions on the prime-side binding interface, we created four trypsin single variants Y39A, Y39F, K60A, and K60V and report biochemical sensitivity against bovine pancreatic trypsin inhibitor (BPTI) and M84R ecotin. All variants retained catalytic activity against small, commercially available peptide substrates [kcat /KM  = (1.2 ± 0.3) × 10(7) M(-1 ) s(-1) . Compared with wild-type, the K60A and K60V variants showed increased sensitivity to BPTI but less sensitivity to ecotin. The Y39A variant was less sensitive to BPTI and ecotin while the Y39F variant was more sensitive to both. The relative binding free energies between BPTI complexes with WT, Y39F, and Y39A were calculated based on 3.5 µs combined explicit solvent molecular dynamics simulations. The BPTI:Y39F complex resulted in the lowest binding energy, while BPTI:Y39A resulted in the highest. Simulations of Y39F revealed increased conformational rearrangement of F39, which allowed formation of a new hydrogen bond between BPTI R17 and H40 of the variant. All together, these data suggest that positions 39 and 60 are key for inhibitor binding to trypsin, and likely more trypsin-fold proteases.
authors.affiliation: Department of Chemistry & Biochemistry, San Francisco State University, San Francisco, California, 94132.
authors.forename: Anna R
authors.initials: AR
authors.lastname: Batt
authors.affiliation: Department of Chemistry & Biochemistry, San Francisco State University, San Francisco, California, 94132.
authors.forename: Commodore P
authors.initials: CP
authors.lastname: St Germain
authors.affiliation: Department of Chemistry & Biochemistry, San Francisco State University, San Francisco, California, 94132.
authors.forename: Trevor
authors.initials: T
authors.lastname: Gokey
authors.affiliation: Department of Chemistry & Biochemistry, San Francisco State University, San Francisco, California, 94132.
authors.forename: Anton B
authors.initials: AB
authors.lastname: Guliaev
authors.affiliation: Department of Chemistry & Biochemistry, San Francisco State University, San Francisco, California, 94132.
authors.forename: Teaster
authors.initials: T
authors.lastname: Baird
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D002417:Cattle; D004351:Drug Resistance; D007700:Kinetics; D008958:Models, Molecular; D056004:Molecular Dynamics Simulation; D017354:Point Mutation; D011485:Protein Binding; D011487:Protein Conformation; D015202:Protein Engineering / Q000379:methods; D013329:Structure-Activity Relationship; D014357:Trypsin / Q000138:chemical synthesis / Q000737:chemistry*; D014359:Trypsin Inhibitor, Kazal Pancreatic / Q000737:chemistry; D014361:Trypsin Inhibitors / Q000737:chemistry* / Q000494:pharmacology
chemical_list: D014361:Trypsin Inhibitors; D014359:Trypsin Inhibitor, Kazal Pancreatic; D014357:Trypsin
keywords: inhibitors; molecular dynamics; protein engineering; serine proteases; serpins; trypsin