Abstract
The protein folding and protein design problems are addressed, using coarse-grained models with only two types of amino acids, hydrophobic and hydrophilic. In addition to hydrophobicity forces, the models contain sequence-independent local interactions which are found to strongly influence the thermodynamics of these models. The models are studied using the dynamical-parameter Monte Carlo method. A Monte Carlo approach to protein design based on this method is developed, and the usefulness of the method for another difficult problem in computational biology, sequence assembly, is explored. Finally, the statistical distribution of hydrophobicity in real and model protein sequences is studied.
| Original language | English |
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| Qualification | Doctor |
| Awarding Institution | |
| Supervisors/Advisors |
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| Award date | 2000 Oct 20 |
| Publisher | |
| ISBN (Print) | 91-628-4305-2 |
| Publication status | Published - 2000 |
Bibliographical note
Defence detailsDate: 2000-10-20
Time: 10:15
Place: Sal F, Theoretical Physics
External reviewer(s)
Name: Chan, Hue Sun
Title: [unknown]
Affiliation: [unknown]
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Subject classification (UKÄ)
- Biophysics
Free keywords
- protein folding
- hydrophobicity
- Monte Carlo
- sequence analysis
- sequence assembly
- shotgun sequencing
- Mathematical and general theoretical physics
- classical mechanics
- quantum mechanics
- relativity
- gravitation
- statistical physics
- Matematisk och allmän teoretisk fysik
- thermodynamics
- termodynamik
- Fysicumarkivet A:2000:Sandelin
- statistisk fysik
- relativitet
- protein design
- klassisk mekanik
- kvantmekanik
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