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Global Minimization of Nonconvex Energy Functions: Molecular Conformation and Protein Folding
About this Title
Panayote M. Pardalos, University of Florida, Gainesville, FL, David Shalloway, Cornell University, Ithaca, NY and Guoliang Xue, University of Vermont, Burlington, VT, Editors
Publication: DIMACS Series in Discrete Mathematics and Theoretical Computer Science
Publication Year:
1996; Volume 23
ISBNs: 978-0-8218-0471-1 (print); 978-1-4704-3981-1 (online)
DOI: https://doi.org/10.1090/dimacs/023
MathSciNet review: MR1369122
MSC: Primary 92-06
ReadershipTable of Contents
Front/Back Matter
Chapters
- Global minimization on rugged energy landscapes
- Energy directed conformational search of protein loops and segments
- Global optimization methods for protein folding problems
- Tracking metastable states to free-energy global minima
- A multispace search algorithm for molecular energy minimization
- A minimal principle in the phase problem of x-ray crystallography
- Knowledge based structure prediction of the light-harvesting complex II of rhodospirillum molischianum
- Some approaches to the multiple-minima problem in protein folding
- A deterministic global optimization approach for the protein folding problem
- (varepsilon)-optimal solutions to distance geometry problems via global continuation
- The design of chromophore containing biomolecules
- Molecular structure determination by convex global underestimation of local energy minima
- Thermodynamics and kinetics of protein folding
- Beyond optimization: Simulating the dynamics of supercoiled DNA by a macroscopic model
- A hierarchical approach to the prediction of the quaternary structure of GCN4 and its mutants
- Rapid evaluation of potential energy functions in molecular and protein conformations
- Simulated annealing calculations for optimization of nanoclusters: The roles of quenching, nucleation, and isomerization in cluster morphology