Literature DB >> 18217217

Quantitative structure-activity relationship analysis of canonical inhibitors of serine proteases.

Daniele Dell'orco1, Pier Giuseppe De Benedetti.   

Abstract

Correlation analysis was carried out between binding affinity data values from the literature and physicochemical molecular descriptors of two series of single point mutated canonical inhibitors of serine proteases, namely bovine pancreatic trypsin inhibitor (BPTI) and turkey ovomucoid third domain (OMTKY3), toward seven enzymes. Simple quantitative structure-activity relationship (QSAR) models based on either single or double linear regressions (SLR or DLR) were obtained, which highlight the role of hydrophobic and bulk/polarizability features of mutated amino acids of the inhibitors in modulating both affinity and specificity. The utility of the QSAR paradigm applied to the analysis of mutagenesis data was underlined, resulting in a simple tool to quantitatively help deciphering structure-function/activity relationships (SFAR) of different protein systems.

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Year:  2008        PMID: 18217217     DOI: 10.1007/s10822-008-9175-x

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  44 in total

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Journal:  Science       Date:  1985-08-30       Impact factor: 47.728

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Authors:  I Schechter; A Berger
Journal:  Biochem Biophys Res Commun       Date:  1967-04-20       Impact factor: 3.575

10.  In silico screening of mutational effects on enzyme-proteic inhibitor affinity: a docking-based approach.

Authors:  Daniele Dell'Orco; Pier Giuseppe De Benedetti; Francesca Fanelli
Journal:  BMC Struct Biol       Date:  2007-06-08
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  1 in total

1.  Aldo-Keto Reductase 1C1 (AKR1C1) as the First Mutated Gene in a Family with Nonsyndromic Primary Lipedema.

Authors:  Sandro Michelini; Pietro Chiurazzi; Valerio Marino; Daniele Dell'Orco; Elena Manara; Mirko Baglivo; Alessandro Fiorentino; Paolo Enrico Maltese; Michele Pinelli; Karen Louise Herbst; Astrit Dautaj; Matteo Bertelli
Journal:  Int J Mol Sci       Date:  2020-08-29       Impact factor: 5.923

  1 in total

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