In silico prediction of mutant HIV-1 proteases cleaving a target sequence.

HIV-1 protease represents an appealing system for directed enzyme re-design, since it has various different endogenous targets, a relatively simple structure and it is well studied. Recently Chaudhury and Gray (Structure (2009) 17: 1636-1648) published a computational algorithm to discern the specif...

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Main Authors: Jan H Jensen, Martin Willemoës, Jakob R Winther, Luca De Vico
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0095833&type=printable
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author Jan H Jensen
Martin Willemoës
Jakob R Winther
Luca De Vico
author_facet Jan H Jensen
Martin Willemoës
Jakob R Winther
Luca De Vico
author_sort Jan H Jensen
collection DOAJ
description HIV-1 protease represents an appealing system for directed enzyme re-design, since it has various different endogenous targets, a relatively simple structure and it is well studied. Recently Chaudhury and Gray (Structure (2009) 17: 1636-1648) published a computational algorithm to discern the specificity determining residues of HIV-1 protease. In this paper we present two computational tools aimed at re-designing HIV-1 protease, derived from the algorithm of Chaudhuri and Gray. First, we present an energy-only based methodology to discriminate cleavable and non cleavable peptides for HIV-1 proteases, both wild type and mutant. Secondly, we show an algorithm we developed to predict mutant HIV-1 proteases capable of cleaving a new target substrate peptide, different from the natural targets of HIV-1 protease. The obtained in silico mutant enzymes were analyzed in terms of cleavability and specificity towards the target peptide using the energy-only methodology. We found two mutant proteases as best candidates for specificity and cleavability towards the target sequence.
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spelling doaj.art-e5e72c6fe5074f11a685360c2d3d5bb12025-02-22T05:32:57ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0195e9583310.1371/journal.pone.0095833In silico prediction of mutant HIV-1 proteases cleaving a target sequence.Jan H JensenMartin WillemoësJakob R WintherLuca De VicoHIV-1 protease represents an appealing system for directed enzyme re-design, since it has various different endogenous targets, a relatively simple structure and it is well studied. Recently Chaudhury and Gray (Structure (2009) 17: 1636-1648) published a computational algorithm to discern the specificity determining residues of HIV-1 protease. In this paper we present two computational tools aimed at re-designing HIV-1 protease, derived from the algorithm of Chaudhuri and Gray. First, we present an energy-only based methodology to discriminate cleavable and non cleavable peptides for HIV-1 proteases, both wild type and mutant. Secondly, we show an algorithm we developed to predict mutant HIV-1 proteases capable of cleaving a new target substrate peptide, different from the natural targets of HIV-1 protease. The obtained in silico mutant enzymes were analyzed in terms of cleavability and specificity towards the target peptide using the energy-only methodology. We found two mutant proteases as best candidates for specificity and cleavability towards the target sequence.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0095833&type=printable
spellingShingle Jan H Jensen
Martin Willemoës
Jakob R Winther
Luca De Vico
In silico prediction of mutant HIV-1 proteases cleaving a target sequence.
PLoS ONE
title In silico prediction of mutant HIV-1 proteases cleaving a target sequence.
title_full In silico prediction of mutant HIV-1 proteases cleaving a target sequence.
title_fullStr In silico prediction of mutant HIV-1 proteases cleaving a target sequence.
title_full_unstemmed In silico prediction of mutant HIV-1 proteases cleaving a target sequence.
title_short In silico prediction of mutant HIV-1 proteases cleaving a target sequence.
title_sort in silico prediction of mutant hiv 1 proteases cleaving a target sequence
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0095833&type=printable
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