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020 _a9783540484868
_9978-3-540-48486-8
024 7 _a10.1007/BFb0105002
_2doi
050 4 _aQH505
072 7 _aPHVN
_2bicssc
072 7 _aSCI009000
_2bisacsh
072 7 _aPHVN
_2thema
072 7 _aPHVD
_2thema
082 0 4 _a571.4
_223
245 1 0 _aStatistical Mechanics of Biocomplexity
_h[electronic resource] :
_bProceedings of the XV Sitges Conference Held at Sitges, Barcelona, Spain, 8–12 June 1998 /
_cedited by D. Reguera, J.M.G. Vilar, J.M. Rubí.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c1999.
300 _aXII, 320 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Physics,
_x0075-8450 ;
_v527
505 0 _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.
520 _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.
650 0 _aStatistical physics.
650 1 4 _aBiological and Medical Physics, Biophysics.
_0http://scigraph.springernature.com/things/product-market-codes/P27008
650 2 4 _aComplex Systems.
_0http://scigraph.springernature.com/things/product-market-codes/P33000
650 2 4 _aMathematical and Computational Biology.
_0http://scigraph.springernature.com/things/product-market-codes/M31000
650 2 4 _aCondensed Matter Physics.
_0http://scigraph.springernature.com/things/product-market-codes/P25005
650 2 4 _aStatistical Physics and Dynamical Systems.
_0http://scigraph.springernature.com/things/product-market-codes/P19090
700 1 _aReguera, D.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aVilar, J.M.G.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRubí, J.M.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642085536
776 0 8 _iPrinted edition:
_z9783540662457
776 0 8 _iPrinted edition:
_z9783662142295
830 0 _aLecture Notes in Physics,
_x0075-8450 ;
_v527
856 4 0 _uhttps://doi.org/10.1007/BFb0105002
912 _aZDB-2-PHA
912 _aZDB-2-LNP
912 _aZDB-2-BAE
999 _c10729
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