Literature DB >> 10469825

Knowledge-based modeling of the serine protease triad into non-proteases.

P Iengar1, C Ramakrishnan.   

Abstract

The Asp-His-Ser triad of serine proteases has been regarded, in the present study, as an independent catalytic motif, because in nature it has been incorporated at the active sites of enzymes as diverse as the serine proteases and the lipases. Incorporating this motif into non-protease scaffolds, by rational design and mutagenesis, might lead to the generation of novel catalysts. As an aid to such experiments, a knowledge-based computer modeling procedure has been developed to model the protease Asp-His-Ser triad into non-proteases. Catalytic triads from a set of trypsin family proteases have been analyzed and criteria that characterize the geometry of the triads have been obtained. Using these criteria, the modeling procedure first identifies sites in non-proteases that are suitable for modeling the protease triad. H-bonded Asp-His-Ser triads, that mimic the protease catalytic triad in geometry, are then modeled in at these sites, provided it is stereochemically possible to do so. Thus non-protease sites at which H-bonded Asp-His-Ser triads are successfully modeled in may be considered for mutagenesis experiments that aim at introducing the protease triad into non-proteases. The triad modeling procedure has been used to identify sites for introducing the protease triad in three binding proteins and an immunoglobulin. A scoring function, depending on inter-residue distances, solvent accessibility and the substitution potential of amino acid residues at the modeling sites in the host proteins, has been used to assess the quality of the model triads.

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Year:  1999        PMID: 10469825     DOI: 10.1093/protein/12.8.649

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  4 in total

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2.  PAR-3D: a server to predict protein active site residues.

Authors:  Kshama Goyal; Debasisa Mohanty; Shekhar C Mande
Journal:  Nucleic Acids Res       Date:  2007-05-03       Impact factor: 16.971

3.  Structural phylogeny by profile extraction and multiple superimposition using electrostatic congruence as a discriminator.

Authors:  Sandeep Chakraborty; Basuthkar J Rao; Nathan Baker; Bjarni Asgeirsson
Journal:  Intrinsically Disord Proteins       Date:  2013

Review 4.  Structural and functional diversities in lepidopteran serine proteases.

Authors:  Ajay Srinivasan; Ashok P Giri; Vidya S Gupta
Journal:  Cell Mol Biol Lett       Date:  2006       Impact factor: 5.787

  4 in total

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