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040 _aOCoLC-P
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_cOCoLC-P
020 _a9780429503672
_q(electronic bk.)
020 _a0429503679
_q(electronic bk.)
020 _a9780429994616
_q(electronic bk. : PDF)
020 _a0429994613
_q(electronic bk. : PDF)
020 _a9780429994593
_q(electronic bk. : Mobipocket)
020 _a0429994591
_q(electronic bk. : Mobipocket)
020 _a9780429994609
_q(electronic bk. : EPUB)
020 _a0429994605
_q(electronic bk. : EPUB)
020 _z9781138587861
035 _a(OCoLC)1104533255
035 _a(OCoLC-P)1104533255
050 4 _aQH506
_b.B57 2020eb
072 7 _aSCI
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072 7 _aPHVN
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082 0 4 _a572.80285
_223
100 1 _aBlossey, Ralf,
_eauthor.
245 1 0 _aComputational biology :
_ba statistical mechanics perspective /
_cRalf Blossey.
250 _aSecond edition.
264 1 _aBoca Raton, Florida :
_bCRC Press,
_c[2020]
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aChapman & Hall/CRC mathematical and computational biology
505 0 _aPart 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.
520 _aComputational 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.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aBiomolecules
_xMechanical properties.
650 0 _aStatistical mechanics.
650 0 _aComputational biology.
650 7 _aSCIENCE / Life Sciences / Biochemistry.
_2bisacsh
650 7 _aCOMPUTERS / General
_2bisacsh
650 7 _aCOMPUTERS / Computer Graphics / Game Programming & Design
_2bisacsh
650 7 _aSCIENCE / Life Sciences / Biology / General
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429503672
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c126534
_d126534