Role of Pharmacokinetics and Metabolism in Drug Discovery and Development

By J. Lin, A. Lu. 1997

Drug research encompasses several diverse disciplines united by a common goal, namely the development of novel therapeutic agents. The search for new drugs can be divided functionally into two stages: discovery and development. The former consists of setting up a working hypothesis of the target

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation (2018, background): “For example, a drug molecule is usually relatively stable in physiological conditions, non toxic, and possesses certain physiochemical properties [28].”
Medicinal chemical properties of successful central nervous system drugs (2005, background): “and marketed drugs is failure in advanced development and/or market withdrawal.(3)”
A framework for assessing inter-individual variability in pharmacokinetics using virtual human populations and integrating general knowledge of physical chemistry, biology, anatomy, physiology and genetics: A tale of 'bottom-up' vs 'top-down' recognition of covariates. (2009, background): “108) Such genetic variation is termed a `polymorphism' when the monogenic trait occurs at a single gene locus with a frequency of more than (arbitrarily) 1%.”
Predicting in vivo drug interactions from in vitro drug discovery data (2005, background): “Many articles have been published during the past several years outlining various aspects of the application of in vitro CYP inhibition screens in drug discover”
Chiral Drugs: An Overview (2006, background): “In humans, R (-)-methadone is about [25-50] fold more potent as an analgesic than its S (+) antipode (3, 29, 30).”
Ligand–protein inverse docking and its potential use in the computer search of protein targets of a small molecule (2001, background): “26 This is expected to provide information about protein structure and function, cellular proﬁles of proteins, molecular distribution, and metabolism that is needed for accurate predictions of ligand–protein interactions and related physiological effects.”