Due to its implications for both dose level and frequency, clearance rate is one of the most important pharmacokinetic parameters to consider in the design of drug candidates. Clearance can be classified into three general categories, namely, metabolic transformation, renal excretion, and hepatobiliary excretion. Within each category, there are a host of biochemical and physiological mechanisms that ultimately determine the clearance rate. Physiochemical properties are often indicative of the rate-determining mechanism, with lipophilic molecules tending toward metabolism and hydrophilic, polar molecules tending toward passive or active excretion. Optimization of clearance requires recognition of the major clearance mechanisms and use of the most relevant in vitro and in vivo tools to develop structure-clearance relationships. The reliability of methods to detect and predict human clearance varies across mechanisms. While methods for metabolic and passive renal clearance have proven reasonably robust, there is a clear need for better tools to support the optimization of transporter-mediated clearance.