Statistische Mechanik in biologischen Systemen: Themenliste
Folgenden Themen sind voraussichtlich geplant:
- Thermodynamik der Genregulierung
- U. Gerland, J.D. Moroz and T. Hwa, Physical Constraints and
Functional Characteristics of Transcription Factor-DNA Interaction,
PNAS 99: 12015-12020 (2002)
- N. Buchler, U. Gerland and T. Hwa, On Schemes of Combinatorial
Transcription Control, PNAS 100: 5136-5141 (2003)
- Motive in biologischen Netzwerken
- S. Shen-Orr, R. Milo, S. Mangan and U. Alon, Network motifs in the
transcriptional regulation network of Escherichia coli.,
Nature Genetics 31: 64-68 (2002)
- J. Berg and M. Lässig, Local graph alignment and motif search in
biological networks, PNAS 101(41), 14689-14694 (2004)
- Boolesche Netzwerke als einfachste Modelle für Genregulation
- L. Correale, M. Leone, A. Pagnani, M. Weigt, R. Zecchina, Core
percolation and onset of complexity in Boolean networks ,
Phys. Rev. Lett. 96, 018101 (2006)
- L. Correale, M. Leone, A. Pagnani, M. Weigt, R. Zecchina,
Computational
core and fixed-point organization in Boolean networks
J. Stat. Mech. P03002 (2006)
- Inferenz von Genregulierungsnetzwerken aus Expressionsdaten
- A.A. Margolin, I. Nemenman, K. Basso, U. Klein, C. Wiggins,
G. Stolovitzky, R. Dalla-Favera, and A. Califano,
ARACNE: An algorithm for reconstruction of genetic networks
in a mammalian cellular context,
BMC Bioinformatics 7 (Suppl. 1):S7 (2006)
- K. Basso, A.A. Margolin, G. Stolovitzky, U. Klein, R.
Dalla-Favera, A. Califano, Reverse engineering of regulatory
networks in human B cells, Nat. Genet. 37:382-90 (2005)
- Hidden Markov Modelle (oft zur Analyse von Gen Sequenzen verwendet)
- I. Kanter, A. Frydman and A. Ater, Utilizing hidden Markov
processes as a tool for experimental physics, Europhys. Lett. 69, 798 (2005)
- O. Zuk, I. Kanter, E. Domany,
The Entropy of a Binary Hidden Markov Process,
preprint cs.IT/0507060 (2005)
- Sequenz Alignments
- T. Hwa and M. Lässig, Similarity Detection and Localization,
Phys. Rev. Lett. 76 (14), 2591 (1996)
- T. Hwa and M. Lässig,
Optimal Detection of Sequence Similarity by Local Alignment
RECOMB '98: Proceedings of the second annual international conference on
Computational molecular biology, pages 109-116 (1998)
- RNA Sekundärstrukturen
- P. G. Higgs, Overlaps between secondary structures,
Phys. Rev. Lett. 76, 704 (1996)
- A. Pagnani, G. Parisi, and F. Ricci-Tersenghi,
Glassy Transition in a Disordered Model for the RNA Secondary
Structure,
Phys. Rev. Lett. 84, 2026-2029 (2000)
- P.G. Higgs,
RNA secondary structure: physical and computational aspects,
Quarterly Review of Biophysics, 33(3):199-253, (2000)
- Proteinfaltung
- P. Grassberger,
Pruned-enriched rosenbluth method: Simulations of theta-polymers
of chain length up to 1 000 000.,
Phys. Rev. E 56(3):3682-3693, (1997)
- H. Frauenkron, U. Bastolla, E. Gerstner, P.
Grassberger, and W. Nadler,
New Monte Carlo algorithm for protein folding,
Phys. Rev. Lett. 80, 3149 (1998)
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Allgemeine Informationen und Lehrbücher zu dem Thema finden
sich unter:
- R. Blossey
Computational Biology: A Statistical Mechanics Perspective
Chapman and Hall/CRC, 2006
- P. Clote and R. Backofen
Computational Molecular Biology
Wiley Series in Mathematical and Computational Biology
John Wiley and Sons, Chichester 2001
- K. A. Dill
Molecular Driving Forces
Garland Science, 2002
- R. Durbin, S. R. Eddy, A. Krogh, und G. Mitchison
Biological sequence analysis
Cambridge University Press, Cambridge 1998
- A.K. Hartmann und H. Rieger (eds.)
New Optimization Algorithms in Physics
Wiley-VCH, Berlin 2004
- K. Huang
Lectures on Statistical Physics and Protein Folding
World Scientific Publishing Company, Singapore 2005
- M. Lässig und A. Valleriani
Biological Evolution and Statistical Physics
Springer, Berlin 2002
- D. Reguera, J. M. G. Vilar, und J. M. Rubi
Statistical Mechanics of Biocomplexity
Springer, Berlin 1999
Zur
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hartmann@theorie.physik.uni-goettingen.de
Last modified: Tue Sep 12 12:23:56 CEST 2006