Preclinical Research and Development
Merrimack Pharmaceuticals
With our Network Biology platform and MathWorks tools, a group of six researchers created seven drug candidates in fewer than three years. Other approaches would have taken us four to five times longer, and the need for more experimentation would have increased our costs.
Additional Resources
- Webinar: Computational Statistics in BioPharm Using MATLAB Products
- Webinar: Quantitative High-Throughput Gene Expression Imaging
- Webinar: Response Surface Models of Drug Interactions
- Webinar: Introduction to Curve Fitting for Nonprogrammers
- Biotech and Pharmaceutical Overview
- Preclinical Research and Development
- Preclinical and Clinical Trials
- Pharmaceutical Manufacturing
MathWorks products are used to identify and validate drug targets and candidates throughout the drug discovery and development process, including target identification and validation as well as lead identification and optimization. By leveraging the MATLAB® platform, researchers benefit from:
- A single integrated environment for studying research areas such as bioanalytics, statistics, sequence analysis, microarray analysis, high-content screening, pathway analysis, and image processing
- Parallel, distributed, and 64-bit computing for high-throughput computation
- Automatic report generation and application deployment
- Graphical and programmatic access to functionality
- Ability to automate workflow steps
Learn more about MathWorks products for computational biology.
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