Mm. Smith et al., RAPID IDENTIFICATION OF HIGHLY-ACTIVE AND SELECTIVE SUBSTRATES FOR STROMELYSIN AND MATRILYSIN USING BACTERIOPHAGE PEPTIDE DISPLAY LIBRARIES, The Journal of biological chemistry, 270(12), 1995, pp. 6440-6449
The discovery of useful peptide substrates for proteases that recogniz
e many amino acids in their active sites is often a slow process due t
o the lack of initial substrate data and the expense of analyzing larg
e numbers of peptide substrate. To overcome these obstacles, we have m
ade use of bacteriophage peptide display libraries. We prepared a rand
om hexamer library in the fd-derived vector fAFF-1 and included a ''te
ther'' sequence that could be recognized by monoclonal antibodies. We
chose the matrix metalloproteinases stromelysin and matrilysin as the
targets for our studies, as they are known to require at least 6 amino
acids in a peptide substrate for cleavage. The phage library was trea
ted in solution with protease and cleaved phage separated from uncleav
ed phage using a mixture of tether-binding monoclonal antibodies and P
rotein A-bearing cells followed by precipitation. Clones were screened
by the use of a rapid screening assay that identified phage encoding
peptide sequences susceptible to cleavage by the enzymes. The nucleoti
de sequence of the random hexamer region of 43 such clones was determi
ned for stromelysin and 23 for matrilysin. Synthetic peptides were pre
pared whose sequences were based on some of the positive clones, as we
ll as consensus sequences built from the positive clones. Many of the
peptides have k(cat)/K-M values as good or better than those of previo
usly reported substrates, and in fact, we were able to produce stromel
ysin and matrilysin substrates that are both the most active and small
est reported to date. In addition, the phage data predicted selectivit
y in the P-2 and P'(1) positions of the two enzymes that were supporte
d by the kinetic analysis of the peptides. This work demonstrates that
the phage selection techniques enable the rapid identification of hig
hly active and selective protease substrates without making any a prio
ri assumptions about the specificity or the ''physiological substrate'
' of the protease under study.