Literature DB >> 7648322

Potential energy functions.

T A Halgren1.   

Abstract

When energy is a critical quantity, accurate biomolecular simulations rest in substantial part on accurate potential energy functions (force fields). Improvements in methodology for determining parameters--particularly, in the systematic use of computational data obtained from quantum chemical calculations--and enhancements in functional form are leading to better potential energy functions. New calculations have been developed for water (including calculations that incorporate electronic polarizability to take account of the degree to which a molecule can be polarized), proteins, nucleic acids, carbohydrates, lipids, and general organic molecules. Most notably, two new biomolecular force fields have recently been derived and significant redeterminations of the parameters of two existing biomolecular force fields have been carried out. Some progress has also been made in incorporating polarizability into potential energy functions for molecules in general and in improving the treatment of metal-ligand interactions in systems of biomolecular interest.

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Year:  1995        PMID: 7648322     DOI: 10.1016/0959-440x(95)80077-8

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


  25 in total

1.  Improved recognition of native-like protein structures using a family of designed sequences.

Authors:  Patrice Koehl; Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-08       Impact factor: 11.205

2.  Enhanced sampling of the molecular potential energy surface using mutually orthogonal latin squares: application to peptide structures.

Authors:  K Vengadesan; N Gautham
Journal:  Biophys J       Date:  2003-05       Impact factor: 4.033

3.  Interatomic potentials and solvation parameters from protein engineering data for buried residues.

Authors:  Andrei L Lomize; Mikhail Y Reibarkh; Irina D Pogozheva
Journal:  Protein Sci       Date:  2002-08       Impact factor: 6.725

4.  Database-derived potentials dependent on protein size for in silico folding and design.

Authors:  Yves Dehouck; Dimitri Gilis; Marianne Rooman
Journal:  Biophys J       Date:  2004-07       Impact factor: 4.033

5.  Ultrafast protein structure-based virtual screening with Panther.

Authors:  Sanna P Niinivehmas; Kari Salokas; Sakari Lätti; Hannu Raunio; Olli T Pentikäinen
Journal:  J Comput Aided Mol Des       Date:  2015-09-25       Impact factor: 3.686

6.  An information theoretic approach to macromolecular modeling: II. Force fields.

Authors:  Tiba Aynechi; Irwin D Kuntz
Journal:  Biophys J       Date:  2005-11       Impact factor: 4.033

7.  A new generation of statistical potentials for proteins.

Authors:  Y Dehouck; D Gilis; M Rooman
Journal:  Biophys J       Date:  2006-03-13       Impact factor: 4.033

8.  Electrostatics of a simple membrane model using Green's functions formalism.

Authors:  E von Kitzing; D M Soumpasis
Journal:  Biophys J       Date:  1996-08       Impact factor: 4.033

9.  Base-base and deoxyribose-base stacking interactions in B-DNA and Z-DNA: a quantum-chemical study.

Authors:  J Sponer; H A Gabb; J Leszczynski; P Hobza
Journal:  Biophys J       Date:  1997-07       Impact factor: 4.033

10.  Recent Developments and Applications of the CHARMM force fields.

Authors:  Xiao Zhu; Pedro E M Lopes; Alexander D Mackerell
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2011-06-28
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