Literature DB >> 18590806

Relating sequence evolution of HIV1-protease to its underlying molecular mechanics.

K Hamacher1.   

Abstract

We investigate the connection between sequence evolution of the human immunodeficiency virus (HIV) type 1 protease under neutral selection or selective pressure induced by protease inhibitors and the functional and molecular-stability characteristics of the molecule in the physical domain. To this end we analyze sequence data on more than 45,000 patients with bioinformatical tools, namely mutual information between residue pairings. In addition we perform extensive computations on the molecular mechanics of the molecule subject to artificial mutations. The changes in the mechanics and dynamics of the molecule in three-dimensional space upon perturbation are then related to the sequence stability as described by the mutual information. We distinguish physical interactions by their evolutionary background and give hints for potential new drug targets. In addition we discuss how such targets can be efficiently chosen to give the HI virus less opportunity to develop resistance towards such drugs while maintaining the protease function at the same time. The interactions between residue no. 28 and 23' in different chains as well as the interaction between residue no. 92 and 94 within one chain were identified as particular crucial. In addition we find interactions in the beta-sheet-dimerization interface to be important for conserving the protein function and stability while these are at the same time evolutionary conserved - implications of and comparisons to experimental results are finally discussed.

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Year:  2008        PMID: 18590806     DOI: 10.1016/j.gene.2008.06.007

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  13 in total

1.  Binding of novel fullerene inhibitors to HIV-1 protease: insight through molecular dynamics and molecular mechanics Poisson-Boltzmann surface area calculations.

Authors:  Haralambos Tzoupis; Georgios Leonis; Serdar Durdagi; Varnavas Mouchlis; Thomas Mavromoustakos; Manthos G Papadopoulos
Journal:  J Comput Aided Mol Des       Date:  2011-10-04       Impact factor: 3.686

2.  Temperature dependence of fluctuations in HIV1-protease.

Authors:  Kay Hamacher
Journal:  Eur Biophys J       Date:  2009-03-27       Impact factor: 1.733

3.  Membrane anchoring and interaction between transmembrane domains are crucial for K+ channel function.

Authors:  Manuela Gebhardt; Franziska Hoffgaard; Kay Hamacher; Stefan M Kast; Anna Moroni; Gerhard Thiel
Journal:  J Biol Chem       Date:  2011-02-10       Impact factor: 5.157

4.  Understanding HIV-1 protease autoprocessing for novel therapeutic development.

Authors:  Liangqun Huang; Chaoping Chen
Journal:  Future Med Chem       Date:  2013-07       Impact factor: 3.808

5.  BioPhysConnectoR: Connecting sequence information and biophysical models.

Authors:  Franziska Hoffgaard; Philipp Weil; Kay Hamacher
Journal:  BMC Bioinformatics       Date:  2010-04-22       Impact factor: 3.169

6.  Computing and visually analyzing mutual information in molecular co-evolution.

Authors:  Sebastian Bremm; Tobias Schreck; Patrick Boba; Stephanie Held; Kay Hamacher
Journal:  BMC Bioinformatics       Date:  2010-06-17       Impact factor: 3.169

7.  Dynamical basis for drug resistance of HIV-1 protease.

Authors:  Yi Mao
Journal:  BMC Struct Biol       Date:  2011-07-08

8.  Structural organization of DNA in chlorella viruses.

Authors:  Timo Wulfmeyer; Christian Polzer; Gregor Hiepler; Kay Hamacher; Robert Shoeman; David D Dunigan; James L Van Etten; Marco Lolicato; Anna Moroni; Gerhard Thiel; Tobias Meckel
Journal:  PLoS One       Date:  2012-02-16       Impact factor: 3.240

9.  Effective harmonic potentials: insights into the internal cooperativity and sequence-specificity of protein dynamics.

Authors:  Yves Dehouck; Alexander S Mikhailov
Journal:  PLoS Comput Biol       Date:  2013-08-29       Impact factor: 4.475

10.  Mapping the mutual information network of enzymatic families in the protein structure to unveil functional features.

Authors:  Daniel Aguilar; Baldo Oliva; Cristina Marino Buslje
Journal:  PLoS One       Date:  2012-07-25       Impact factor: 3.240

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