LEADER 02695 am 22005893u 450 001 996205888003316 005 20230621141129.0 010 $a1-351-66057-8 010 $a1-315-15978-3 010 $a1-351-66058-6 010 $a91-977071-1-2 035 $a(CKB)2560000000080638 035 $a(SSID)ssj0000409547 035 $a(PQKBManifestationID)12146484 035 $a(PQKBTitleCode)TC0000409547 035 $a(PQKBWorkID)10347826 035 $a(PQKB)10143075 035 $a(MiAaPQ)EBC4803571 035 $a(OCoLC)1011119580$z(OCoLC)980761233 035 $a(OCoLC-P)1011119580 035 $a(FlBoTFG)9781315159782 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/45511 035 $a(EXLCZ)992560000000080638 100 $a20171110d2017 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDrug-Acceptor Interactions $eModeling Theoretical Tools to Test and Evaluate Experimental Equilibrium Effects 205 $aFirst edition. 210 $cCo-Action Publishing 210 1$aBoca Raton, FL :$cCRC Press,$d2017. 215 $a1 online resource (798 pages) $cillustrations 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a91-977071-0-4 320 $aIncludes bibliographical references at the end of each chapters. 330 2 $a"Drug-Acceptor Interactions: Modeling theoretical tools to test and evaluate experimental equilibrium effects suggests novel theoretical tools to test and evaluate drug interactions seen with combinatorial drug therapy. The book provides an in-depth, yet controversial, exploration of existing tools for analysis of dose-response studies at equilibrium or steady state. The book is recommended reading for post-graduate students and researchers engaged in the study of systems biology, networks, and the pharmacodynamics of natural or industrial drugs, as well as for medical clinicians interested in drug application and combinatorial drug therapy. Even people without mathematical skills will be able to follow the pros and cons of reaction schemes and their related distribution equations. Chapter 9 is a hands-on guide for software to plot, fit and analyze one's own data."--Provided by publisher. 606 $aDrug interactions 606 $aChemotherapy 610 $aDrugs 610 $atherapy 615 0$aDrug interactions. 615 0$aChemotherapy. 676 $a615.7045 700 $aBindslev$b Niels$0801082 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a996205888003316 996 $aDrug-Acceptor Interactions$91926723 997 $aUNISA