03785cam a2200589Ki 4500 9780429503672 FlBoTFG 20260210180715.0 m o d cr cnu|||unuuu 190614s2020 flu ob 001 0 eng d OCoLC-P eng rda pn OCoLC-P 9780429503672 (electronic bk.) 0429503679 (electronic bk.) 9780429994616 (electronic bk. : PDF) 0429994613 (electronic bk. : PDF) 9780429994593 (electronic bk. : Mobipocket) 0429994591 (electronic bk. : Mobipocket) 9780429994609 (electronic bk. : EPUB) 0429994605 (electronic bk. : EPUB) 9781138587861 (OCoLC)1104533255 (OCoLC-P)1104533255 QH506 .B57 2020eb SCI 007000 bisacsh COM 000000 bisacsh COM 012040 bisacsh SCI 008000 bisacsh PHVN bicssc 572.80285 23 Blossey, Ralf, author. Computational biology : a statistical mechanics perspective / Ralf Blossey. Second edition. Boca Raton, Florida : CRC Press, [2020] 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Chapman & Hall/CRC mathematical and computational biology Part 1: Equilibrium statistical mechanics -- Equilbrim statistical mechanics -- Biomolecular structure: DNA, RNA, proteins -- Phase transitions in RNA -- Soft matter electrostatics -- Part 2: Non-equilibrium statistical mechanics -- Back to P: probabilities over time -- Fluctuation theorems -- Dynamics of biological networks -- Biological networks: space. Computational biology has developed rapidly during the last two decades following the genomic revolution which culminated in the sequencing of the human genome. More than ever it has developed into a field which embraces computational methods from different branches of the exact sciences: pure and applied mathematics, computer science, theoretical physics. This Second Edition provides a solid introduction to the techniques of statistical mechanics for graduate students and researchers in computational biology and biophysics. Material has been reorganized to clarify equilbrium and nonequilibrium aspects of biomolecular systems Content has been expanded, in particular in the treatment of the electrostatic interactions of biomolecules and the application of non-equilibrium statistical mechanics to biomolecules New network-based approaches for the study of proteins are presented. All treated topics are put firmly in the context of the current research literature, allowing the reader to easily follow an individual path into a specific research field. Exercises and Tasks accompany the presentations of the topics with the intention of enabling the readers to test their comprehension of the developed basic concepts. OCLC-licensed vendor bibliographic record. Biomolecules Mechanical properties. Statistical mechanics. 3009 Computational biology. SCIENCE / Life Sciences / Biochemistry. bisacsh COMPUTERS / General bisacsh COMPUTERS / Computer Graphics / Game Programming & Design bisacsh SCIENCE / Life Sciences / Biology / General bisacsh Taylor & Francis https://www.taylorfrancis.com/books/9780429503672 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 89083 89082