Literature DB >> 18211063

Protein stability prediction: a Poisson-Boltzmann approach.

Yu-Hong Tan1, Ray Luo.   

Abstract

Most proteins are only marginally stable at physiological temperatures. Thus a common defect due to mutation is the loss of protein stability, resulting in loss of their well-defined structures and functions at their functioning temperatures. Quantification of protein stability change upon mutation has attracted a large number of experimental and theoretical studies. In this work, we have extended the Poisson-Boltzmann theory that is originally used for predicting stability changes of charged mutations to predicting stability changes of all mutations. To achieve this, we have proposed a free energy model covering both electrostatic and hydrophobic interactions. A Gõ-like model for the denatured state that incorporates both nativeness and randomness of the denatured state has been used to calculate the hydrophobic contribution to protein stability. The new model is computationally simple and fast, and performs well for charged and hydrophobic mutations for all four tested proteins. Future directions for extending the method into pH-dependent effect and more accurate prediction for polar mutations are discussed.

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Year:  2008        PMID: 18211063     DOI: 10.1021/jp709660v

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  13 in total

1.  Distance-dependent statistical potentials for discriminating thermophilic and mesophilic proteins.

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2.  Numerical interpretation of molecular surface field in dielectric modeling of solvation.

Authors:  Changhao Wang; Li Xiao; Ray Luo
Journal:  J Comput Chem       Date:  2017-03-20       Impact factor: 3.376

3.  Electrostatic effects on the folding stability of FKBP12.

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Journal:  Protein Eng Des Sel       Date:  2016-07-05       Impact factor: 1.650

4.  Exploring a multi-scale method for molecular simulation in continuum solvent model: Explicit simulation of continuum solvent as an incompressible fluid.

Authors:  Li Xiao; Ray Luo
Journal:  J Chem Phys       Date:  2017-12-07       Impact factor: 3.488

5.  Robustness and Efficiency of Poisson-Boltzmann Modeling on Graphics Processing Units.

Authors:  Ruxi Qi; Ray Luo
Journal:  J Chem Inf Model       Date:  2018-12-31       Impact factor: 4.956

Review 6.  Human allelic variation: perspective from protein function, structure, and evolution.

Authors:  Daniel M Jordan; Vasily E Ramensky; Shamil R Sunyaev
Journal:  Curr Opin Struct Biol       Date:  2010-06       Impact factor: 6.809

7.  Acceleration of Linear Finite-Difference Poisson-Boltzmann Methods on Graphics Processing Units.

Authors:  Ruxi Qi; Wesley M Botello-Smith; Ray Luo
Journal:  J Chem Theory Comput       Date:  2017-06-07       Impact factor: 6.006

8.  Modeling Membrane Protein-Ligand Binding Interactions: The Human Purinergic Platelet Receptor.

Authors:  D'Artagnan Greene; Wesley M Botello-Smith; Alec Follmer; Li Xiao; Eleftherios Lambros; Ray Luo
Journal:  J Phys Chem B       Date:  2016-11-23       Impact factor: 2.991

9.  A Continuum Poisson-Boltzmann Model for Membrane Channel Proteins.

Authors:  Li Xiao; Jianxiong Diao; D'Artagnan Greene; Junmei Wang; Ray Luo
Journal:  J Chem Theory Comput       Date:  2017-06-14       Impact factor: 6.006

10.  Structural and functional implications of p53 missense cancer mutations.

Authors:  Yuhong Tan; Ray Luo
Journal:  PMC Biophys       Date:  2009-06-26
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