{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T07:42:42Z","timestamp":1789371762941,"version":"build-2803163510"},"reference-count":28,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2014,1,8]],"date-time":"2014-01-08T00:00:00Z","timestamp":1389139200000},"content-version":"vor","delay-in-days":7,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CPT Pharmacom &amp; Syst Pharma"],"published-print":{"date-parts":[[2014,1]]},"abstract":"<jats:p>Bridging systems biology and pharmacokinetics\u2013pharmacodynamics has resulted in models that are highly complex and complicated. They usually contain large numbers of states and parameters and describe multiple input\u2013output relationships. Based on any given data set relating to a specific input\u2013output process, it is possible that some states of the system are either less important or have no influence at all. In this study, we explore a simplification of a systems pharmacology model of the coagulation network for use in describing the time course of fibrinogen recovery after a brown snake bite. The technique of proper lumping is used to simplify the 62\u2010state systems model to a 5\u2010state model that describes the brown snake venom\u2013fibrinogen relationship while maintaining an appropriate mechanistic relationship. The simplified 5\u2010state model explains the observed decline and recovery in fibrinogen concentrations well. The techniques used in this study can be applied to other multiscale models.<\/jats:p><jats:p><jats:italic>CPT Pharmacometrics Syst. Pharmacol<\/jats:italic>. 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