Two network preprints. Cheers, Roeland -------- Original Message -------- Subject: q-bio daily Subj-class mailing 2 1 Date: Thu, 9 Nov 2006 05:10:04 -0500 From: no-reply@arXiv.org (send mail ONLY to q-bio) Reply-To: q-bio@arXiv.org To: rabble@arXiv.org (q-bio daily title/abstract distribution) ------------------------------------------------------------------------------ ------------------------------------------------------------------------------ send mail only to q-bio@arXiv.org, do not reply to no-reply@... send any complaints regarding submissions directly to submitter. use a single `get' to request multiple papers, `list macros' for available macro packages, and `help' for a list of available commands and other info. ------------------------------------------------------------------------------ point your www client at http://arXiv.org/ To unsubscribe, e-mail To: q-bio@arXiv.org, Subject: cancel ------------------------------------------------------------------------------ Submissions to: Molecular Networks received from Tue 7 Nov 06 21:00:09 GMT to Wed 8 Nov 06 21:00:08 GMT ------------------------------------------------------------------------------ ------------------------------------------------------------------------------ \\ Paper: q-bio.MN/0611026 Date: Tue, 7 Nov 2006 23:09:26 GMT (24kb) Title: Propagation of fluctuations in interaction networks governed by the law of mass action Authors: Sergei Maslov, Kim Sneppen, Iaroslav Ispolatov Comments: 4 pages; 2 figures Subj-class: Molecular Networks; Genomics \\ Using an example of physical interactions between proteins, we study how perturbations propagate in interconnected networks whose equilibrium state is governed by the law of mass action. We introduce a comprehensive matrix formalism which predicts the response of this equilibrium to small changes in total concentrations of individual molecules, and explain it using a heuristic analogy to a current flow in a network of resistors. Our main conclusion is that on average changes in free concentrations exponentially decay with the distance from the source of perturbation. We then study how this decay is influenced by such factors as the topology of a network, binding strength, and correlations between concentrations of neighboring nodes. An exact analytic expression for the decay constant is obtained for the case of uniform interactions on the Bethe lattice. Our general findings are illustrated using a real biological network of protein-protein interactions in baker's yeast with experimentally determined protein concentrations. \\ ( http://arXiv.org/abs/q-bio/0611026 , 24kb) %-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%-%- %%--%%--%%--%%--%%--%%--%%--%%--%%--%%--%%--%%--%%--%%--%%--%%--%%--%%--%%--%% ------------------------------------------------------------------------------ \\ Paper: q-bio.OT/0609036 replaced with revised version Tue, 7 Nov 2006 19:51:47 GMT (415kb) Title: Using graph concepts to understand the organization of complex systems Authors: Claire Christensen and Reka Albert Comments: v(1) 38 pages, 7 figures, to appear in the International Journal of Bifurcation and Chaos v(2) Line spacing changed; now 23 pages, 7 figures, to appear in the Special Issue "Complex Networks' Structure and Dynamics'' of the International Journal of Bifurcation and Chaos (Volume 17, Issue 7, July 2007) edited by S. Boccaletti and V. Latora Subj-class: Other; Molecular Networks; Disordered Systems and Neural Networks \\ ( http://arXiv.org/abs/q-bio/0609036 , 415kb) %%%---%%%---%%%---%%%---%%%---%%%---%%%---%%%---%%%---%%%---%%%---%%%---%%%--- -- Roeland Merks Department of Plant Systems Biology VIB / Ghent University Technologiepark 927 B-9052 Ghent, Belgium http://www.psb.ugent.be Tel. +32-(0)9-33 13695 email: post@roelandmerks.nl http://www.roelandmerks.nl weblog: http://biolog.volkskrantblog.nl