Literature DB >> 17964951

Computational methods for biomolecular electrostatics.

Feng Dong1, Brett Olsen, Nathan A Baker.   

Abstract

An understanding of intermolecular interactions is essential for insight into how cells develop, operate, communicate, and control their activities. Such interactions include several components: contributions from linear, angular, and torsional forces in covalent bonds, van der waals forces, as well as electrostatics. Among the various components of molecular interactions, electrostatics are of special importance because of their long range and their influence on polar or charged molecules, including water, aqueous ions, and amino or nucleic acids, which are some of the primary components of living systems. Electrostatics, therefore, play important roles in determining the structure, motion, and function of a wide range of biological molecules. This chapter presents a brief overview of electrostatic interactions in cellular systems, with a particular focus on how computational tools can be used to investigate these types of interactions.

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Year:  2008        PMID: 17964951      PMCID: PMC2423940          DOI: 10.1016/S0091-679X(07)84026-X

Source DB:  PubMed          Journal:  Methods Cell Biol        ISSN: 0091-679X            Impact factor:   1.441


  131 in total

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Authors:  U Mueller; D Perl; F X Schmid; U Heinemann
Journal:  J Mol Biol       Date:  2000-04-07       Impact factor: 5.469

2.  Protein-protein association: investigation of factors influencing association rates by brownian dynamics simulations.

Authors:  R R Gabdoulline; R C Wade
Journal:  J Mol Biol       Date:  2001-03-09       Impact factor: 5.469

3.  Computational analysis of PKA-balanol interactions.

Authors:  C F Wong; P H Hünenberger; P Akamine; N Narayana; T Diller; J A McCammon; S Taylor; N H Xuong
Journal:  J Med Chem       Date:  2001-05-10       Impact factor: 7.446

Review 4.  Force fields for protein simulations.

Authors:  Jay W Ponder; David A Case
Journal:  Adv Protein Chem       Date:  2003

Review 5.  The synthesis and cellular roles of phosphatidylinositol 4,5-bisphosphate.

Authors:  A Toker
Journal:  Curr Opin Cell Biol       Date:  1998-04       Impact factor: 8.382

6.  Myristoylated alanine-rich C kinase substrate (MARCKS) sequesters spin-labeled phosphatidylinositol 4,5-bisphosphate in lipid bilayers.

Authors:  Michelle E Rauch; Colin G Ferguson; Glenn D Prestwich; David S Cafiso
Journal:  J Biol Chem       Date:  2002-02-01       Impact factor: 5.157

7.  Electrostatic contributions to the energetics of dimer-tetramer assembly in human hemoglobin: pH dependence and effect of specifically bound chloride ions.

Authors:  M A Flanagan; G K Ackers; J B Matthew; G I Hanania; F R Gurd
Journal:  Biochemistry       Date:  1981-12-22       Impact factor: 3.162

8.  Experimental pK(a) values of buried residues: analysis with continuum methods and role of water penetration.

Authors:  Carolyn A Fitch; Daniel A Karp; Kelly K Lee; Wesley E Stites; Eaton E Lattman; Bertrand García-Moreno E
Journal:  Biophys J       Date:  2002-06       Impact factor: 4.033

Review 9.  Phosphoinositides as regulators in membrane traffic.

Authors:  P De Camilli; S D Emr; P S McPherson; P Novick
Journal:  Science       Date:  1996-03-15       Impact factor: 47.728

10.  GAP43, MARCKS, and CAP23 modulate PI(4,5)P(2) at plasmalemmal rafts, and regulate cell cortex actin dynamics through a common mechanism.

Authors:  T Laux; K Fukami; M Thelen; T Golub; D Frey; P Caroni
Journal:  J Cell Biol       Date:  2000-06-26       Impact factor: 10.539

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  30 in total

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Authors:  Zhan Chen; Nathan A Baker; G W Wei
Journal:  J Math Biol       Date:  2011-01-30       Impact factor: 2.259

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Journal:  J Comput Aided Mol Des       Date:  2015-09-25       Impact factor: 3.686

3.  Web servers and services for electrostatics calculations with APBS and PDB2PQR.

Authors:  Samir Unni; Yong Huang; Robert M Hanson; Malcolm Tobias; Sriram Krishnan; Wilfred W Li; Jens E Nielsen; Nathan A Baker
Journal:  J Comput Chem       Date:  2011-02-01       Impact factor: 3.376

4.  Charge density distributions derived from smoothed electrostatic potential functions: design of protein reduced point charge models.

Authors:  Laurence Leherte; Daniel P Vercauteren
Journal:  J Comput Aided Mol Des       Date:  2011-09-14       Impact factor: 3.686

5.  A New Method to Predict Ion Effects in RNA Folding.

Authors:  Li-Zhen Sun; Shi-Jie Chen
Journal:  Methods Mol Biol       Date:  2017

6.  The impact of viral RNA on the association free energies of capsid protein assembly: bacteriophage MS2 as a case study.

Authors:  Karim M ElSawy
Journal:  J Mol Model       Date:  2017-02-02       Impact factor: 1.810

7.  Multidimensional persistence in biomolecular data.

Authors:  Kelin Xia; Guo-Wei Wei
Journal:  J Comput Chem       Date:  2015-05-30       Impact factor: 3.376

Review 8.  Biomolecular electrostatics and solvation: a computational perspective.

Authors:  Pengyu Ren; Jaehun Chun; Dennis G Thomas; Michael J Schnieders; Marcelo Marucho; Jiajing Zhang; Nathan A Baker
Journal:  Q Rev Biophys       Date:  2012-11       Impact factor: 5.318

9.  Ion-mediated RNA structural collapse: effect of spatial confinement.

Authors:  Zhi-Jie Tan; Shi-Jie Chen
Journal:  Biophys J       Date:  2012-08-22       Impact factor: 4.033

10.  Tertiary structure-based analysis of microRNA-target interactions.

Authors:  Hin Hark Gan; Kristin C Gunsalus
Journal:  RNA       Date:  2013-02-15       Impact factor: 4.942

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