Related Experiment Video
Updated: Aug 30, 2026

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English
Published on: April 3, 2026
Predicting drug efficacy: knockouts model pipeline drugs of the pharmaceutical industry
Brian P Zambrowicz1, C Alexander Turner, Arthur T Sands
1Lexicon Genetics Incorporated, 8800 Technology Forest Place, The Woodlands, TX 77381, USA. brian@lexgen.com
Abstract:
One of the major challenges for the pharmaceutical industry is to develop innovative drugs to new targets from the human genome. A systematic approach for target selection could significantly increase the rate of successful new drug development, thereby enhancing industry productivity. It has previously been shown that mouse knockout phenotypes for the targets of the 100 best-selling pharmaceutical drugs correlate well with known drug efficacy. Furthermore, physiological validation of novel pipeline targets of the pharmaceutical industry has been provided using mouse knockout data. These data demonstrate an excellent correlation between knockout phenotype and anticipated drug efficacy, establishing an important marker for superior new drug targets from the genome.
Related Concept Videos
Drug Discovery: Overview
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model
Pharmacodynamic Models: Emax Drug–Concentration Effect Model
Pharmacodynamic Models: Overview
Pharmacokinetic Models: Overview
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...