Network theory approach for data evaluation in the dynamic force spectroscopy of biomolecular interactions
暂无分享,去创建一个
B. Tadić | H. Heus | S. Speller | J. Zivkovic | Marija Mitrovi'c | Luuk Janssen | Bosiljka Tadi'c | S. Speller | L. Janssen | J. Živković | M. Mitrovic
[1] E. Evans,et al. Dynamic strength of molecular adhesion bonds. , 1997, Biophysical journal.
[2] R. Mantegna. Hierarchical structure in financial markets , 1998, cond-mat/9802256.
[3] H. Güntherodt,et al. Dynamic force spectroscopy of single DNA molecules. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[4] Gordon F. Royle,et al. Algebraic Graph Theory , 2001, Graduate texts in mathematics.
[5] Michelle D. Wang,et al. Dynamic force spectroscopy of protein-DNA interactions by unzipping DNA. , 2003, Physical review letters.
[6] M. A. Muñoz,et al. Journal of Statistical Mechanics: An IOP and SISSA journal Theory and Experiment Detecting network communities: a new systematic and efficient algorithm , 2004 .
[7] Aleksandr Noy,et al. Dynamic force spectroscopy of parallel individual Mucin1-antibody bonds. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[8] P. Reimann,et al. Theoretical analysis of single-molecule force spectroscopy experiments: heterogeneity of chemical bonds. , 2006, Biophysical journal.
[9] Jürgen Kurths,et al. Structural and functional clusters of complex brain networks , 2006 .
[10] Gerhard Hummer,et al. Intrinsic rates and activation free energies from single-molecule pulling experiments. , 2006, Physical review letters.
[11] John Hunter,et al. Functional holography analysis: simplifying the complexity of dynamical networks. , 2006, Chaos.
[12] B. Tadić,et al. Statistical indicators of collective behavior and functional clusters in gene networks of yeast , 2005, q-bio/0509043.
[13] C. Figdor,et al. Distinct kinetic and mechanical properties govern ALCAM-mediated interactions as shown by single-molecule force spectroscopy , 2007, Journal of Cell Science.
[14] Eshel Ben-Jacob,et al. Functional holography of recorded neuronal networks activity , 2007, Neuroinformatics.
[15] Jürgen Kurths,et al. Lectures in Supercomputational Neuroscience: Dynamics in Complex Brain Networks , 2007 .
[16] Michael Schroeder,et al. A novel pattern recognition algorithm to classify membrane protein unfolding pathways with high-throughput single-molecule force spectroscopy , 2007, Bioinform..
[17] S. N. Dorogovtsev,et al. Laplacian spectra of, and random walks on, complex networks: are scale-free architectures really important? , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[18] P. Reimann,et al. Refined procedure of evaluating experimental single-molecule force spectroscopy data. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[19] G. Hummer,et al. Theory, analysis, and interpretation of single-molecule force spectroscopy experiments , 2008, Proceedings of the National Academy of Sciences.
[20] M. Orrit,et al. Theory And Evaluation Of Single-molecule Signals , 2008 .
[21] S. Havlin,et al. Climate Networks Based on Phase Synchronization Analysis Track El-Nino(Complex Networks,Econophysics-Physical Approach to Social and Economic Phenomena-) , 2009 .
[22] Marija Mitrovic,et al. Correlation Patterns in Gene Expressions along the Cell Cycle of Yeast , 2009, CompleNet.
[23] A. Fuhrmann,et al. Quantitative analysis of single-molecule RNA-protein interaction. , 2009, Biophysical journal.
[24] M. Mitrovic,et al. Spectral and dynamical properties in classes of sparse networks with mesoscopic inhomogeneities. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[25] B. Tadić,et al. Jamming and correlation patterns in traffic of information on sparse modular networks , 2009, 0904.1082.