Understanding substrate specificity in human and parasite phosphoribosyltransferases through calculation and experiment

Citation
Jw. Pitera et al., Understanding substrate specificity in human and parasite phosphoribosyltransferases through calculation and experiment, BIOCHEM, 38(32), 1999, pp. 10298-10306
Citations number
30
Categorie Soggetti
Biochemistry & Biophysics
Journal title
BIOCHEMISTRY
ISSN journal
00062960 → ACNP
Volume
38
Issue
32
Year of publication
1999
Pages
10298 - 10306
Database
ISI
SICI code
0006-2960(19990810)38:32<10298:USSIHA>2.0.ZU;2-G
Abstract
We present molecular dynamics (MD) simulations on two enzymes: a human hypo xanthine-guanine-phosphoribosyltransferase (HGPRTase) and its analogue in t he protozoan parasite Tritichomonas foetus. The parasite enzyme has an addi tional ability to process xanthine as a substrate, making it a hypoxanthine -guanine-xanthine phosphoribosyltransferase (HGXPRTase) [Chin, M. S., and W ang, C. C. (1994) Mol. Biochem. Parasitol. 63 (2), 221-229 (1)]. X-ray crys tal structures of both enzymes complexed to guanine monoribosyl phosphate ( GMP) have been solved, and show only subtle differences in the two active s ites [Eads et al. (1994) Cell 78 (2), 325-334 (2); Somoza et al. (1996) Bio chemistry 35 (22), 7032-7040 (3)]. Most of the direct contacts with the bas e region of the substrate are made by the protein backbone, complicating th e identification of residues significantly associated with xanthine recogni tion. Our calculations suggest that the broader specificity of the parasite enzyme is due to a significantly more flexible base-binding region, and ra tionalize the effect of two mutations, R155E and D163N, that alter substrat e specificity [Munagala, N. R., and Wang, C. C. (1998) Biochemistry 37 (47) , 16612-16619 (4)]. In addition, our simulations suggested a double mutant (D106E/D163N) that might rescue the D163N mutant. This double mutant was ex pressed and assayed, and its catalytic activity was confirmed. Our molecula r dynamics trajectories were also used with a structure-based design progra m, Pictorial Representation Of Free Energy Changes (PROFEC), to suggest par asite-selective derivatives of GMP. Our calculations here successfully rati onalize the parasite-selectivity of two novel inhibitors derived from the c omputer-aided design of Somoza et al. (5) and demonstrate the utililty of P ROFEC in the design of species-selective inhibitors.