Abstract
The development and use of efficient computational tools can add to the completeness of bioinformatics databases and our understanding of molecular structure and relationships between structure and function. Reliable macromolecular modeling can provide tools for expanding (experimental) bioinformatics databases beyond the capacity of experimental methods and provide new knowledge. An approach that combines the explicit solvent (ES) and implicit solvent (IS) models has been developed for calculating free energies of protein and nucleic acid conformations. A protocol for calculating context-dependent DNA conformational parameters has been developed.
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© 2004 Springer Science+Business Media New York
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Vorobjev, Y.N. (2004). Macromolecular Modeling as a Tool for Expanding Bioinformatics Databases. In: Kolchanov, N., Hofestaedt, R. (eds) Bioinformatics of Genome Regulation and Structure. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7152-4_17
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DOI: https://doi.org/10.1007/978-1-4419-7152-4_17
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-4613-6
Online ISBN: 978-1-4419-7152-4
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