Genetic defects in human purine nucleoside phosphorylase cause T-cell deficiency as the major phenotype. It has been proposed that efficient inhibitors of the enzyme might intervene in disorders of T-cell function. Compounds with features of the transition-state structure of purine nucleoside phosphorylase were synthesized and tested as inhibitors. The transition-state structure for purine nucleoside phosphorylase is characterized by (1) an elevated pKa at N7 of the purine ring for protonation or favorable H-bond interaction with the enzyme and (2) oxocarbenium ion formation in the ribosyl ring (Kline, P. C., and Schramm, V. L. (1995) Biochemistry 34, 1153-1162). Both features have been incorporated into the stable transition-state analogues, (1S)-1-(9-deazahypoxanthin-9-yl)-1,4-dideoxy-1,4-imino-D-ribitol (immucillin-H) and (1S)-1-(9-deazaguanin-9-yl)-1,4-dideoxy-1, 4-imino-D-ribitol (immucillin-G). Both inhibitors exhibit slow-onset tight-binding inhibition of calf spleen and human erythrocyte purine nucleoside phosphorylase. The inhibitors exhibit equilibrium dissociation constants (Ki) from 23 to 72 pM and are the most powerful inhibitors reported for the enzyme. Complete inhibition of the homotrimeric enzyme occurs at one mole of inhibitor per mole of enzymic trimer. Binding of the transition-state inhibitor at one site per trimer prevents inhibitor binding at the remaining two sites of the homotrimer. A mechanism of sequential catalysis at each subunit, similar to that of F1 ATPase, is supported by these results. Slow inhibitor dissociation (e.g., t1/2 of 4.8 h) suggests that these compounds will have favorable pharmacologic properties. Interaction of transition-state inhibitors with purine nucleoside phosphorylase is different from reactant-state (substrate and product analogue) inhibitors of the enzyme which bind equally to all subunits of the homotrimer.

The association of two species to form a bound complex, e.g., the binding of a ligand to a protein or the adsorption of a peptide on a lipid membrane, involves an entropy loss, reflecting the conversion of free translational and rotational degrees of freedom into bound motions. Previous theoretical estimates of the standard entropy change in bimolecular binding processes, DeltaS(o), have been derived from the root-mean-square fluctuations in protein crystals, suggesting DeltaS(o) approximately -50 e.u., i.e., TDeltaS degrees approximately -25 kT = -15 kcal/mol. In this work we focus on adsorption, rather than binding processes. We first present a simple statistical-thermodynamic scheme for calculating the adsorption entropy, including its resolution into translational and rotational contributions, using the known distance-orientation dependent binding (adsorption) potential. We then utilize this scheme to calculate the free energy of interaction and entropy of pentalysine adsorption onto a lipid membrane, obtaining TDeltaS(o) approximately -1.7 kT approximately -1.3 kcal/mol. Most of this entropy change is due to the conversion of one free translation into a bound motion, the rest arising from the confinement of two rotational degrees of freedom. The smaller entropy loss in adsorption compared to binding processes arises partly because a smaller number of degrees of freedom become restricted, but mainly due to the fact that the binding potential is much "softer."

An undercooled liquid exhibits crystalline fluctuations, some of which grow into crystal of macroscopic dimension, while smaller fluctuations disappear. We present a model which allows for exact analytic characterization' of the inhomogeneous critical nucleus, the smallest fluctuation which will give rise to crystal growth, in terms of a single spatially varying order parameter for the degree of crystallinity. The model is built around the square-gradient approximation for the free energy with a simple double-parabolic form for the homogeneous component. We study the radius, free energy of formation, and profile of the critical nucleus as functions of the liquid undercooling and compare these with results from an earlier nonclassical theory and from the classical capillarity approximation. The time evolution of the order parameter is described by a phase-field equation which is easily solved numerically for growth dynamics of initially supercritical fluctuations or for the regression of subcritical profiles.