Gabrielsson, Johan
- Institutionen för husdjurens biovetenskaper, Sveriges lantbruksuniversitet
Sammanfattning
Drug-discovery has become a complex discipline in which the amount of knowledge about human biology, physiology, and biochemistry have increased. In order to harness this complex body of knowledge mathematics can play a critical role, and has actually already been doing so. We demonstrate through four case studies, taken from previously published data and analyses, what we can gain from mathematical/analytical techniques when nonlinear concentration-time courses have to be transformed into their equilibrium concentration-response (target or complex) relationships and new structures of drug potency have to be deciphered; when pattern recognition needs to be carried out for an unconventional response-time dataset; when what-if? predictions beyond the observational concentration-time range need to be made; or when the behaviour of a semi-mechanistic model needs to be elucidated or challenged. These four examples are typical situations when standard approaches known to the general community of pharmacokineticists prove to be inadequate.
Nyckelord
Receptors; Drug-disposition; Dose-responsetime analysis; Michaelis-menten; Quasi-steady-state; Singular perturbations
Publicerad i
Journal of Pharmacokinetics and Pharmacodynamics
2018, volym: 45, nummer: 1, sidor: 3-21
Utgivare: SPRINGER/PLENUM PUBLISHERS
SLU författare
UKÄ forskningsämne
Farmaceutisk vetenskaper
Publikationens identifierare
- DOI: https://doi.org/10.1007/s10928-017-9539-8
Permanent länk till denna sida (URI)
https://res.slu.se/id/publ/94507