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Application of visual basic in high-throughput mass spectrometry-directed purification of combinatorial libraries
1S*BIO Pte Ltd., 1 Science Park Road, #05-09, The Capricorn, Singapore Science Park II, Singapore 117528.
Journal of Combinatorial Chemistry
|November 11, 2003
Summary
We developed user-friendly software to streamline high-throughput purification (HTP) sample submission and data handling. This automation enhances efficiency by reducing manual data management in combinatorial chemistry.
Area of Science:
- Analytical Chemistry
- Computational Chemistry
- Medicinal Chemistry
Background:
- High-throughput purification (HTP) is crucial for combinatorial library synthesis.
- Manual sample submission and data handling in HTP processes are time-consuming and prone to errors.
- Efficient data management is essential for accelerating drug discovery and development.
Purpose of the Study:
- To develop and implement a customized electronic system for sample submission in HTP.
- To improve the efficiency and accuracy of data handling for preparative liquid chromatography-electrospray ionization mass spectrometry (LC-ESI-MS).
- To enable on-line verification and retrieval of purification data for medicinal chemists.
Main Methods:
- Development of Visual Basic and Visual Basic for Applications (VBA) programs using Microsoft Visual Basic 6 and Excel 2000.
- Integration of these programs into the HTP workflow for electronic data submission.
- Implementation of functions for on-line status verification and data retrieval.
Main Results:
- Successful implementation of a seamless electronic sample submission and data handling system for HTP.
- Significant reduction in paperwork and manual data manipulation, leading to increased work efficiency.
- Medicinal chemists gained on-line access to purification status and postpurification data.
Conclusions:
- The developed user-friendly and cost-effective software significantly enhances efficiency in HTP processes.
- Electronic submission and data management improve workflow automation and reduce operational bottlenecks.
- This approach facilitates faster and more reliable purification of combinatorial libraries for drug discovery.