Computational Methods for Molecular Analysis and Design: Efficient Numerical Algorithms for Surface Formulations of Mathematical Models of Solvation

Bardhan, Jaydeep

ISBN 10: 3639142616 / ISBN 13: 9783639142617

Editore: VDM Verlag, 2009

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Codice articolo ERICA79036391426166

Dati bibliografici

• Titolo: Computational Methods for Molecular Analysis and Design: Efficient Numerical Algorithms for Surface Formulations of Mathematical Models of Solvation
• Editore: VDM Verlag
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 3639142616
• ISBN 13: 9783639142617
• Rilegatura: Paperback
• Condizione: Like New
• Tipo di libro: book

Descrizione articolo

Riassunto

The text presents a set of numerical techniques that extend and improve computational modeling approaches for biomolecule analysis and design. The presented research focuses on surface formulations of modeling problems related to the estimation of the energetic cost to transfer a biomolecule from the gas phase to aqueous solution. Four contributions to modeling biomolecular interactions are presented. The first section describes an approach to allow accurate discretization of the most prevalent definitions of the biomolecule?solvent interface, and numerical methods for numerically integrating possibly singular functions over these discretizations. The second section presents a fast multiscale numerical algorithm, FFTSVD, that efficiently solves large problems in biomolecule electrostatics. The third part describes an integral-equation formulation and boundary-element method implementation for biomolecule electrostatic analysis. The final section details an efficient numerical method for calculating a biomolecular charge distribution that minimizes the free energy of binding to another molecule. This approach represents a novel PDE-constrained optimization technique.

L'autore

Jaydeep received his S.B., M.Eng., and Ph.D. degrees from the department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. His research focuses on computational methods for molecular analysis and design.