Home LiteratureArticle Details
PMID: 15264253 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S. Review

Empirical force fields for biological macromolecules: overview and issues.

Journal of computational chemistry ·Vol. 25 ·No. 13 ·2004-10-00 ·Pages 1584-604

Mackerell AD

Abstract

Empirical force field-based studies of biological macromolecules are becoming a common tool for investigating their structure-activity relationships at an atomic level of detail. Such studies facilitate interpretation of experimental data and allow for information not readily accessible to experimental methods to be obtained. A large part of the success of empirical force field-based methods is the quality of the force fields combined with the algorithmic advances that allow for more accurate reproduction of experimental observables. Presented is an overview of the issues associated with the development and application of empirical force fields to biomolecular systems. This is followed by a summary of the force fields commonly applied to the different classes of biomolecules; proteins, nucleic acids, lipids, and carbohydrates. In addition, issues associated with computational studies on "heterogeneous" biomolecular systems and the transferability of force fields to a wide range of organic molecules of pharmacological interest are discussed.

MeSH Terms
Algorithms Carbohydrates/chemistry Computer Simulation Lipids/chemistry Macromolecular Substances Models, Molecular Nucleic Acids/chemistry Proteins/chemistry Static Electricity Structure-Activity Relationship Thermodynamics
Chemicals
Carbohydrates Lipids Macromolecular Substances Nucleic Acids Proteins
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Mackerell Alexander D
Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, 20 Penn Street, Baltimore, Maryland 21201, USA. [email protected]
Article Info
Journal
Journal of computational chemistry
Abbr.
J Comput Chem
ISSN
0192-8651
Published
2004-10-00
Pages
1584-604
Language
English
Region
United States
NLM ID
9878362
Subset
IM
Grants
NIGMS NIH HHS · GM51501 · United States
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]