LEADER 02455nam0 2200445 i 450 001 VAN0114580 005 20220303113109.606 017 70$2N$a978-3-319-30030-6 100 $a20180207d2016 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aComputing characterizations of drugs for ion channels and receptors using Markov models$fAslak Tveito, Glenn T. Lines 210 $a[Cham]$cSpringer$d2016 215 $aXVI, 261 p.$cill.$d24 cm 410 1$1001VAN0027129$12001 $aLecture notes in computational science and engineering$1210 $aBerlin [etc.]$cSpringer$v111 500 1$3VAN0242049$aComputing characterizations of drugs for ion channels and receptors using Markov models$91523241 606 $a62M05$xMarkov processes: estimation; hidden Markov models [MSC 2020]$3VANC024698$2MF 606 $a60J28$xApplications of continuous-time Markov processes on discrete state spaces [MSC 2020]$3VANC028388$2MF 606 $a34Fxx$xOrdinary differential equations and systems with randomness [MSC 2020]$3VANC028778$2MF 606 $a60J20$xApplications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020]$3VANC029367$2MF 606 $a92C45$xKinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) [MSC 2020]$3VANC029594$2MF 606 $a80A30$xChemical kinetics in thermodynamics and heat transfer [MSC 2020]$3VANC031249$2MF 610 $aDifferential equations$9KW:K 610 $aDrug modelling$9KW:K 610 $aIon channels$9KW:K 610 $aProbability density functions$9KW:K 610 $aStochastic models$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aTveito$bAslak$3VANV039250$041984 701 1$aLines$bGlenn T.$3VANV088648$0755870 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-3-319-30030-6$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$2VAN15 912 $fN 912 $aVAN0114580 950 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS SBA EBOOK 2179 $e15EB 2179 20180207 996 $aComputing characterizations of drugs for ion channels and receptors using Markov models$91523241 997 $aUNICAMPANIA