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Related Experiment Video

Updated: May 9, 2026

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

Published on: April 3, 2026

Standardized workflows for increasing efficiency and productivity in discovery stage bioanalysis.

Kevin P Bateman¹, Lucinda Cohen, Bart Emary

¹Department of Pharmacokinetics, Pharmacodynamics & Drug Metabolism, Merck Research Laboratories, West Point, PA 19486, USA. kevin_bateman@merck.com

|July 19, 2013

Summary

Merck standardized bioanalytical processes in 2007, improving efficiency and resource allocation. This harmonization allows for faster routine activities and more research into new technologies for drug discovery.

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Area of Science:

Pharmacokinetics, Pharmacodynamics, and Drug Metabolism (PPDM)
Bioanalytical Sciences
Drug Discovery and Development

Background:

Consolidation of discovery bioanalytical functions at Merck into the PPDM department occurred in 2007.
Standardization of procedures and equipment has been implemented to provide quantitative data for project teams.
The initiative aimed to create a lean, flexible, and efficient bioanalytical organization.

Purpose of the Study:

To discuss the current state of discovery bioanalysis at Merck.
To highlight improvements in efficiency and resource allocation.
To showcase advancements supporting future scientific needs in drug discovery.

Main Methods:

Harmonization and standardization of bioanalytical procedures and equipment.

Related Experiment Videos

Last Updated: May 9, 2026

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

Published on: April 3, 2026

Implementation of improved workflows for compound tuning and LC method development.

Adoption of automated sample preparation and advanced data processing/reporting platforms.

Main Results:

Achieved a lean, flexible, and efficient organizational structure.
Enabled seamless movement of work across a network of laboratories.
Reduced time and resources on routine activities, freeing capacity for research.

Conclusions:

The strategic consolidation and standardization of bioanalytical functions have significantly enhanced operational efficiency.
These improvements facilitate faster drug discovery timelines and support the exploration of novel scientific areas and technologies.
The optimized processes ensure robust quantitative data delivery for project teams.