Literature DB >> 17387014

Potential energy functions for protein design.

F Edward Boas1, Pehr B Harbury.   

Abstract

Different potential energy functions have predominated in protein dynamics simulations, protein design calculations, and protein structure prediction. Clearly, the same physics applies in all three cases. The differences in potential energy functions reflect differences in how the calculations are performed. With improvements in computer power and algorithms, the same potential energy function should be applicable to all three problems. In this review, we examine energy functions currently used for protein design, and look to the molecular mechanics field for advances that could be used in the next generation of design algorithms. In particular, we focus on improved models of the hydrophobic effect, polarization and hydrogen bonding.

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Year:  2007        PMID: 17387014     DOI: 10.1016/j.sbi.2007.03.006

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  45 in total

1.  Interaction of organic solvents with protein structures at protein-solvent interface.

Authors:  Morteza Khabiri; Babak Minofar; Jan Brezovský; Jiří Damborský; Rudiger Ettrich
Journal:  J Mol Model       Date:  2012-07-04       Impact factor: 1.810

2.  Improving computational protein design by using structure-derived sequence profile.

Authors:  Liang Dai; Yuedong Yang; Hyung Rae Kim; Yaoqi Zhou
Journal:  Proteins       Date:  2010-08-01

3.  Recovering physical potentials from a model protein databank.

Authors:  J W Mullinax; W G Noid
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-01       Impact factor: 11.205

4.  Reference state for the generalized Yvon-Born-Green theory: application for coarse-grained model of hydrophobic hydration.

Authors:  J W Mullinax; W G Noid
Journal:  J Chem Phys       Date:  2010-09-28       Impact factor: 3.488

5.  Dead-End Elimination with a Polarizable Force Field Repacks PCNA Structures.

Authors:  Stephen D LuCore; Jacob M Litman; Kyle T Powers; Shibo Gao; Ava M Lynn; William T A Tollefson; Timothy D Fenn; M Todd Washington; Michael J Schnieders
Journal:  Biophys J       Date:  2015-08-18       Impact factor: 4.033

6.  Structure-based evaluation of C5 derivatives in the catechol diether series targeting HIV-1 reverse transcriptase.

Authors:  Kathleen M Frey; William T Gray; Krasimir A Spasov; Mariela Bollini; Ricardo Gallardo-Macias; William L Jorgensen; Karen S Anderson
Journal:  Chem Biol Drug Des       Date:  2014-03-14       Impact factor: 2.817

7.  Solvent accessible surface area approximations for rapid and accurate protein structure prediction.

Authors:  Elizabeth Durham; Brent Dorr; Nils Woetzel; René Staritzbichler; Jens Meiler
Journal:  J Mol Model       Date:  2009-02-21       Impact factor: 1.810

Review 8.  Energy functions in de novo protein design: current challenges and future prospects.

Authors:  Zhixiu Li; Yuedong Yang; Jian Zhan; Liang Dai; Yaoqi Zhou
Journal:  Annu Rev Biophys       Date:  2013-02-28       Impact factor: 12.981

9.  Mining tertiary structural motifs for assessment of designability.

Authors:  Jian Zhang; Gevorg Grigoryan
Journal:  Methods Enzymol       Date:  2013       Impact factor: 1.600

10.  Modeling CAPRI targets 110-120 by template-based and free docking using contact potential and combined scoring function.

Authors:  Petras J Kundrotas; Ivan Anishchenko; Varsha D Badal; Madhurima Das; Taras Dauzhenka; Ilya A Vakser
Journal:  Proteins       Date:  2017-09-28
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