The cyclization kinetics of five backbone-cyclic tetrapeptides was investig
ated both experimentally and computationally. The aim was to both accuratel
y measure the cyclization rates in solution and develop a method that effic
iently estimates the relative cyclization tendencies computationally. Progr
ession of the cyclization reaction was monitored directly, yielding the kin
etics of changes in the amounts of the linear precursor and the products. T
hese measurements were used to calculate the reaction rates; the results we
re consistent with a first-order reaction kinetics. In order to predict the
cyclization rates computationally, the conformation space of the linear pr
ecursors was mapped and used to construct an approximate partition function
. We assumed that the cyclization tendency was correlated with the relative
probability of being found in a cyclization-prone conformation of the back
bone, this probability was estimated from the partition function. The resul
ts supported this assumption and demonstrated that, within reasonable accur
acy, we are able to predict the relative cyclization tendencies of the pept
ides measured.