Local and spatial factors determining HIV-1 protease substrate recognition

2001 ◽  
Vol 358 (2) ◽  
pp. 505-510 ◽  
Author(s):  
Stephane HAZEBROUCK ◽  
Valerie MACHTELINCKX-DELMAS ◽  
Jean-Jacques KUPIEC ◽  
Pierre SONIGO

Insertional mutagenesis of the Escherichia coli thymidylate synthase (TS) was used to address substrate recognition of HIV-1 protease in a well characterized structural context. By modifying the TS conformation while maintaining its enzymic activity, we investigated the influence of protein folding on protease–substrate recognition. A slight destabilization of the TS structure permitted the cleavage of a target site, which was resistant in the native TS. This result supports a dynamic interpretation of HIV-1 protease specificity. Exposure time of the potential cleavage site, which depends on the stability of the global conformation, must be compatible with the cleavage kinetics, which are determined by the local sequence. Cleavage specificity has been described as the consequence of cumulative interactions, globally favourable, between at least six amino acids around the cleavage site. To investigate influence of local sequence, we introduced insertions of variable lengths in two exposed loops of the TS. In both environments, insertion of only two amino acids could determine specific cleavage. We then inserted libraries of dipeptides naturally cleaved by the HIV-1 protease in order to assess the limitations of established classifications of substrates in different conformational contexts.

2012 ◽  
Vol 393 (9) ◽  
pp. 843-851 ◽  
Author(s):  
Paulina Kasperkiewicz ◽  
Anna D. Gajda ◽  
Marcin Drąg

Abstract Proteases recognize their endogenous substrates based largely on a sequence of proteinogenic amino acids that surrounds the cleavage site. Currently, several methods are available to determine protease substrate specificity based on approaches employing proteinogenic amino acids. The knowledge about the specificity of proteases can be significantly extended by application of structurally diverse families of non-proteinogenic amino acids. From a chemical point of view, this information may be used to design specific substrates, inhibitors, or activity-based probes, while biological functions of proteases, such as posttranslational modifications can also be investigated. In this review, we discuss current and prospective technologies for application of non-proteinogenic amino acids in protease substrate specificity profiling.


2001 ◽  
Vol 358 (2) ◽  
pp. 505 ◽  
Author(s):  
Stephane HAZEBROUCK ◽  
Valerie MACHTELINCKX-DELMAS ◽  
Jean-Jacques KUPIEC ◽  
Pierre SONIGO

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Rodrigo Ochoa ◽  
Mikhail Magnitov ◽  
Roman A. Laskowski ◽  
Pilar Cossio ◽  
Janet M. Thornton

Abstract Background Proteases are key drivers in many biological processes, in part due to their specificity towards their substrates. However, depending on the family and molecular function, they can also display substrate promiscuity which can also be essential. Databases compiling specificity matrices derived from experimental assays have provided valuable insights into protease substrate recognition. Despite this, there are still gaps in our knowledge of the structural determinants. Here, we compile a set of protease crystal structures with bound peptide-like ligands to create a protocol for modelling substrates bound to protease structures, and for studying observables associated to the binding recognition. Results As an application, we modelled a subset of protease–peptide complexes for which experimental cleavage data are available to compare with informational entropies obtained from protease–specificity matrices. The modelled complexes were subjected to conformational sampling using the Backrub method in Rosetta, and multiple observables from the simulations were calculated and compared per peptide position. We found that some of the calculated structural observables, such as the relative accessible surface area and the interaction energy, can help characterize a protease’s substrate recognition, giving insights for the potential prediction of novel substrates by combining additional approaches. Conclusion Overall, our approach provides a repository of protease structures with annotated data, and an open source computational protocol to reproduce the modelling and dynamic analysis of the protease–peptide complexes.


Viruses ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1092
Author(s):  
János András Mótyán ◽  
Márió Miczi ◽  
Stephen Oroszlan ◽  
József Tőzsér

To explore the sequence context-dependent nature of the human immunodeficiency virus type 1 (HIV-1) protease’s specificity and to provide a rationale for viral mutagenesis to study the potential role of the nucleocapsid (NC) processing in HIV-1 replication, synthetic oligopeptide substrates representing the wild-type and modified versions of the proximal cleavage site of HIV-1 NC were assayed as substrates of the HIV-1 protease (PR). The S1′ substrate binding site of HIV-1 PR was studied by an in vitro assay using KIVKCF↓NCGK decapeptides having amino acid substitutions of N17 residue of the cleavage site of the first zinc-finger domain, and in silico calculations were also performed to investigate amino acid preferences of S1′ site. Second site substitutions have also been designed to produce “revertant” substrates and convert a non-hydrolysable sequence (having glycine in place of N17) to a substrate. The specificity constants obtained for peptides containing non-charged P1′ substitutions correlated well with the residue volume, while the correlation with the calculated interaction energies showed the importance of hydrophobicity: interaction energies with polar residues were related to substantially lower specificity constants. Cleavable “revertants” showed one residue shift of cleavage position due to an alternative productive binding mode, and surprisingly, a double cleavage of a substrate was also observed. The results revealed the importance of alternative binding possibilities of substrates into the HIV-1 PR. The introduction of the “revertant” mutations into infectious virus clones may provide further insights into the potential role of NC processing in the early phase of the viral life-cycle.


1993 ◽  
Vol 3 (6) ◽  
pp. 1169-1174 ◽  
Author(s):  
Marc Vaillancourt ◽  
Benoit Vanasse ◽  
Eric Cohen ◽  
Gilles Sauv

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