Human purine nucleoside phosphorylase (HsPNP) is a target for inhibitor development aiming at T-cell immune response modulation. In this work, we report the development of a new set of empirical scoring functions and its application to evaluate binding affinities and docking results ...
Human purine nucleoside phosphorylase (HsPNP) is a target for inhibitor development aiming at T-cell immune response modulation. In this work, we report the development of a new set of empirical scoring functions and its application to evaluate binding affinities and docking results. To test these new functions, we solved the structure of HsPNP and 2-mercapto-4(3H)-quinazolinone (HsPNP:MQU) binary complex at 2.7A resolution using synchrotron radiation, and used these functions to predict ligand position obtained in docking simulations. We also employed molecular dynamics simulations to analyze HsPNP in two conditions, as apoenzyme and in the binary complex form, in order to assess the structural features responsible for stability. Analysis of the structural differences between systems provides explanation for inhibitor binding. The use of these scoring functions to evaluate binding affinities and molecular docking results may be used to guide future efforts on virtual screening focused on HsPNP.
Related Citations:
Crystal Structure of Human Purine Nucleoside Phosphorylase at 2.3A Resolution De Azevedo Jr., W.F., Canduri, F., Dos Santos, D.M., Silva, R.G., De Oliveira, J.S., De Carvalho, L.P.S., Basso, L.A., Mendes, M.A., Palma, M.S., Santos, D.S. (2003) Biochem Biophys Res Commun 308: 545
Organizational Affiliation:
Faculdade de Biociências, Laboratório de Bioquímica Estrutural, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, RS, Brazil.
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