LEADER 04596nam 22007455 450 001 996466803203316 005 20200701115113.0 010 $a3-540-48486-8 024 7 $a10.1007/BFb0105002 035 $a(CKB)1000000000778143 035 $a(SSID)ssj0000326899 035 $a(PQKBManifestationID)12049826 035 $a(PQKBTitleCode)TC0000326899 035 $a(PQKBWorkID)10299037 035 $a(PQKB)11053145 035 $a(DE-He213)978-3-540-48486-8 035 $a(PPN)155172212 035 $a(EXLCZ)991000000000778143 100 $a20121227d1999 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical Mechanics of Biocomplexity$b[electronic resource] $eProceedings of the XV Sitges Conference, Held at Sitges, Barcelona, Spain, 8-12 June 1998 /$fedited by D. Reguera, J.M.G. Vilar, J.M. Rubi 205 $a1st ed. 1999. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1999. 215 $a1 online resource (XII, 320 p.) 225 1 $aLecture Notes in Physics,$x0075-8450 ;$v527 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-66245-6 327 $aFrom membranes to membrane machines -- ?Sausage string? patterns in blood vessels at high blood pressures -- Phase transitions in mesoscopic spherical membranes -- Modeling microtubule oscillations[1] -- Designing RNA folding cooperativity -- Scaling laws for protein folding -- Self-organizing networks of molecular machines in allosterically regulated enzymic reactions -- Coupled Brownian motors -- On the role of molecular machines in the origin of the genetic code -- Population dynamics and non-Hermitian localization -- Collective motion -- A population dynamics approach to biological aging -- Small-world networks -- Extended mean-field theory for networks of spiking neurons -- Pattern formation in the developing visual cortex: Topological defects, their generation, motion, and annihilation -- Complex spiking behavior from noise-driven neuron interaction -- A new nonlinear model for pitch perception -- Statistical mechanics of network models of macroevolution and extinction -- Exact analytical results in a simple model of self-organized biological evolution -- Transition to chaos in models of genetic networks. 330 $aThis book demonstrates the usefulness of tools from statistical mechanics for biology. It includes the new tendencies in topics like membranes, vesicles, microtubules, molecular motors, DNA, protein folding, phase transitions in biological systems, evolution, population dynamics, neural systems and biological oscillators, with special emphasis on the importance of statistical mechanics in their development. The book addresses researchers and graduate students. 410 0$aLecture Notes in Physics,$x0075-8450 ;$v527 606 $aBiophysics 606 $aBiological physics 606 $aStatistical physics 606 $aDynamical systems 606 $aBiomathematics 606 $aCondensed matter 606 $aBiological and Medical Physics, Biophysics$3https://scigraph.springernature.com/ontologies/product-market-codes/P27008 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P33000 606 $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000 606 $aCondensed Matter Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P25005 606 $aStatistical Physics and Dynamical Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P19090 615 0$aBiophysics. 615 0$aBiological physics. 615 0$aStatistical physics. 615 0$aDynamical systems. 615 0$aBiomathematics. 615 0$aCondensed matter. 615 14$aBiological and Medical Physics, Biophysics. 615 24$aComplex Systems. 615 24$aMathematical and Computational Biology. 615 24$aCondensed Matter Physics. 615 24$aStatistical Physics and Dynamical Systems. 676 $a570/.1/53013 702 $aReguera$b D$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVilar$b J.M.G$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRubi$b J.M$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aSitges Conference 906 $aBOOK 912 $a996466803203316 996 $aStatistical Mechanics of Biocomplexity$9374426 997 $aUNISA