Literature DB >> 23170891

On the active site protonation state in aspartic proteases: implications for drug design.

Fredy Sussman1, M Carmen Villaverde, José L Domínguez, U Helena Danielson.   

Abstract

Aspartic proteases (AP) are a family of important hydrolytic enzymes in medicinal chemistry, since many of its members have become therapeutical targets for a wide variety of diseases from AIDS to Alzheimer. The enzymatic activity of these proteins is driven by the Asp dyad, a pair of active site Asp residues that participate in the hydrolysis of peptides. Hence, the protonation state of these and other acidic residues present in these enzymes determines the catalytic rate and the affinity for an inhibitor at a given pH. In the present work we have reviewed the effect of the protonation states of the titratable residues in AP's both on catalysis and inhibition in this family of enzymes. The first section focuses on the details of the catalytic reaction mechanism picture brought about by a large number of kinetic, crystallographic and computational chemistry analyses. The results indicate that although the mechanism is similar in both retroviral and eukaryotic enzymes, there are some clear differences. For instance, while in the former family branch the binding of the substrate induces a mono-ionic charge state for the Asp dyad, this charge state seems to be already present in the unbound state of the eukaryotic enzymes. In this section we have explored as well the possible existence of low barrier hydrogen bonds (LBHB's) in the enzymatic path. Catalytic rate enhancement in AP's could in part be explained by the lowering of the barrier for proton transfer in a hydrogen bond from donor to acceptor, which is a typical feature of LBHB's. Review of the published work indicates that the experimental support for this type of bonds is rather scarce and it may be more probable in the first stages of the hydrolytic mechanism in retroviral proteases. The second section deals with the effect of active site protonation state on inhibitor binding. The design of highly potent AP inhibitors, that could be the basis for drug leads require a deep knowledge of the protonation state of the active site residues induced by their presence. This vital issue has been tackled by experimental techniques like NMR, X-ray crystallography, calorimetric and binding kinetic techniques. Recently, we have developed a protocol that combines monitoring the pH effect on binding affinities by SPR methods and rationalization of the results by molecular mechanics based calculations. We have used this combined method on BACE-1 and HIV-1 PR, two important therapeutic targets. Our calculations are able to reproduce the inhibitor binding trends to either enzyme upon a pH increase. The results indicate that inhibitors that differ in the Asp dyad binding fragments will present different binding affinity trends upon a pH increase. Our calculations have enabled us to predict the protonation states at different pH values that underlie the above mentioned trends. We have found out that these results have many implications not only for in silico hit screening campaigns aimed at finding high affinity binders, but also (in the case of BACE-1) for the discovery of cell active compounds.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23170891     DOI: 10.2174/1381612811319230009

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  8 in total

1.  Ramachandran analysis of conserved glycyl residues in homologous proteins of known structure.

Authors:  Balasubramanian Lakshmi; Chandrasekaran Sinduja; Govind Archunan; Narayanaswamy Srinivasan
Journal:  Protein Sci       Date:  2014-04-22       Impact factor: 6.725

2.  Context-dependent GluN2B-selective inhibitors of NMDA receptor function are neuroprotective with minimal side effects.

Authors:  Hongjie Yuan; Scott J Myers; Gordon Wells; Katherine L Nicholson; Sharon A Swanger; Polina Lyuboslavsky; Yesim A Tahirovic; David S Menaldino; Thota Ganesh; Lawrence J Wilson; Dennis C Liotta; James P Snyder; Stephen F Traynelis
Journal:  Neuron       Date:  2015-02-26       Impact factor: 17.173

3.  Influence of surface charge, binding site residues and glycosylation on Thielavia terrestris cutinase biochemical characteristics.

Authors:  Abhijit N Shirke; Danielle Basore; Samantha Holton; An Su; Evan Baugh; Glenn L Butterfoss; George Makhatadze; Christopher Bystroff; Richard A Gross
Journal:  Appl Microbiol Biotechnol       Date:  2016-01-13       Impact factor: 4.813

Review 4.  Biophysics in drug discovery: impact, challenges and opportunities.

Authors:  Jean-Paul Renaud; Chun-Wa Chung; U Helena Danielson; Ursula Egner; Michael Hennig; Roderick E Hubbard; Herbert Nar
Journal:  Nat Rev Drug Discov       Date:  2016-08-12       Impact factor: 84.694

5.  Macrocycle modeling in ICM: benchmarking and evaluation in D3R Grand Challenge 4.

Authors:  Polo C-H Lam; Ruben Abagyan; Maxim Totrov
Journal:  J Comput Aided Mol Des       Date:  2019-10-09       Impact factor: 3.686

6.  Genome-wide analysis of regulatory proteases sequences identified through bioinformatics data mining in Taenia solium.

Authors:  Hong-Bin Yan; Zhong-Zi Lou; Li Li; Paul J Brindley; Yadong Zheng; Xuenong Luo; Junling Hou; Aijiang Guo; Wan-Zhong Jia; Xuepeng Cai
Journal:  BMC Genomics       Date:  2014-06-04       Impact factor: 3.969

7.  Conformational Dynamics and Binding Free Energies of Inhibitors of BACE-1: From the Perspective of Protonation Equilibria.

Authors:  M Olivia Kim; Patrick G Blachly; J Andrew McCammon
Journal:  PLoS Comput Biol       Date:  2015-10-27       Impact factor: 4.475

8.  Characterizing the structural ensemble of γ-secretase using a multiscale molecular dynamics approach.

Authors:  Rodrigo Aguayo-Ortiz; Cecilia Chávez-García; John E Straub; Laura Dominguez
Journal:  Chem Sci       Date:  2017-06-05       Impact factor: 9.825

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.