Engineered protein therapeutics offer advantages, including strong target
affinity, selectivity, and low toxicity, but like natural proteins can be
susceptible to proteolytic degradation, thereby limiting their effectiveness. A
compelling therapeutic target is mesotrypsin, a protease upregulated with tumor
progression, associated with poor prognosis, and implicated in tumor growth and
progression of many cancers. However, with its unique capability for cleavage
and inactivation of proteinaceous inhibitors, mesotrypsin presents a formidable
challenge to the development of biologic inhibitors. We used a powerful yeast
display platform for directed evolution, employing a novel multi-modal library
screening strategy, to engineer the human amyloid precursor protein Kunitz
protease inhibitor domain (APPI) simultaneously for increased proteolytic
stability, stronger binding affinity, and improved selectivity for mesotrypsin
inhibition. We identified a triple mutant APPIM17G/I18F/F34V, with a
mesotrypsin inhibition constant (Ki) of 89 pM, as
the strongest mesotrypsin inhibitor yet reported; this variant displays
1459-fold improved affinity, up to 350,000-fold greater specificity, and 83-fold
improved proteolytic stability vs wild-type APPI. We demonstrated that
APPIM17G/I18F/F34V acts as a functional inhibitor in cell-based
models of mesotrypsin-dependent prostate cancer cellular invasiveness.
Additionally, by solving the crystal structure of the
APPIM17G/I18F/F34V/mesotrypsin complex, we obtained new insights
into the structural and mechanistic basis for improved binding and proteolytic
resistance. Our study identifies a promising mesotrypsin inhibitor as a starting
point for development of anticancer protein therapeutics and establishes
proof-of-principle for a novel library screening approach that will be widely
applicable for simultaneously evolving proteolytic stability in tandem with
desired functionality for diverse protein scaffolds.