Presented in this paper is a knowledge-based experimental design system that incorporates the domain expertise used in nucleic acid engineering, thus automating the processing of error-prone, laborious low-level work, and many decision-making steps, and guiding the biologist toward a workable plan. This allows the biologist to work at a higher abstraction level, concentrating on more fundamental, difficult and challenging problems directly related to protein structure-function relationships. Cassette-based site-directed mutagenesis and synthetic gene designs are used as examples to illustrate the utility of the knowledge-based system approach to experimental design.
|Number of pages
|Published - Jul 1990
Bibliographical noteFunding Information:
The authors wish to thank Drs Jacques Haiech and Daniel M Roberts for their suggestions and comments at the early stage of this development, Mr Michael Shoemaker for his useful suggestions, and Dr Thomas R.Harris for providing a rich research environment. This research was supported in part by NIH grant GM 30861 (to D.M.W.) and by the Harry H.Straus-Martha Washington Straus Foundation and the Barbara Ingalls Shoak Foundation.
ASJC Scopus subject areas
- Statistics and Probability
- Molecular Biology
- Computer Science Applications
- Computational Theory and Mathematics
- Computational Mathematics