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Protein Science
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Protein Science
Article . 2015 . Peer-reviewed
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Protein Science
Article . 2016
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Engineering trypsin for inhibitor resistance

Authors: Teaster Baird; Trevor Gokey; Anna R. Batt; Commodore P. St. Germain; Anton B. Guliaev;

Engineering trypsin for inhibitor resistance

Abstract

AbstractThe 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) × 107 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.

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Keywords

Models, Molecular, Protein Conformation, Drug Resistance, Molecular Dynamics Simulation, Protein Engineering, Kinetics, Structure-Activity Relationship, Trypsin Inhibitor, Kazal Pancreatic, Animals, Point Mutation, Cattle, Trypsin, Amino Acid Sequence, Trypsin Inhibitors, Protein Binding

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average
bronze