LEADER 02596nam 2200601Ia 450 001 9910783719103321 005 20230617040053.0 010 $a1-281-88105-8 010 $a9786611881054 010 $a981-256-938-3 035 $a(CKB)1000000000247239 035 $a(EBL)259281 035 $a(OCoLC)336545092 035 $a(SSID)ssj0000190879 035 $a(PQKBManifestationID)11201499 035 $a(PQKBTitleCode)TC0000190879 035 $a(PQKBWorkID)10180415 035 $a(PQKB)10539790 035 $a(MiAaPQ)EBC259281 035 $a(WSP)00000302 035 $a(Au-PeEL)EBL259281 035 $a(CaPaEBR)ebr10126005 035 $a(CaONFJC)MIL188105 035 $a(OCoLC)935232602 035 $a(EXLCZ)991000000000247239 100 $a20050729d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLectures on statistical physics and protein folding$b[electronic resource] /$fKerson Huang 210 $aHackensack, N.J. $cWorld Scientific$dc2005 215 $a1 online resource (159 p.) 300 $aDescription based upon print version of record. 311 $a981-256-150-1 311 $a981-256-143-9 320 $aIncludes bibliographical references and index. 327 $aEntropy. -- Maxwell-Boltzmann distribution. -- Free energy. -- Chemical potential. -- Phase transitions. -- Kinetics of phase transitions. -- The order parameter. -- Correlation function. -- Stochastic processes. -- Langevin equation. -- The life process. -- Self-assembly. -- Kinetics of protein folding. -- Power laws in protein folding. -- Power laws in protein folding. -- Self-avoiding walk and turbulence. -- Convergent evolution in protein folding. -- Model of energy cascade in a protein molecule. 330 $aThis book introduces an approach to protein folding from the point ofview of kinetic theory. There is an abundance of data on proteinfolding, but few proposals are available on the mechanism driving theprocess. Here, presented for the first time, are suggestions onpossible research directions, as developed by the author incollaboration with C C Lin. 606 $aStatistical physics 606 $aProtein folding 615 0$aStatistical physics. 615 0$aProtein folding. 676 $a530.15/95 700 $aHuang$b Kerson$f1928-2016.$047830 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910783719103321 996 $aLectures on statistical physics and protein folding$91098667 997 $aUNINA