A knowledge-based experimental design system for nucleic acid engineering

K. Jiang; J. Z. Heng; S. B. Higgins; D. M. Watterson; T. A. Craig; T. J. Lukas; L. J.Van Eldik

doi:10.1093/bioinformatics/6.3.205

A knowledge-based experimental design system for nucleic acid engineering

K. Jiang, J. Z. Heng, S. B. Higgins, D. M. Watterson, T. A. Craig, T. J. Lukas, L. J.Van Eldik

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	205-212
Number of pages	8
Journal	Bioinformatics
Volume	6
Issue number	3
DOIs	https://doi.org/10.1093/bioinformatics/6.3.205
State	Published - Jul 1990

Bibliographical note

Funding 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.

Funding

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.

Funders	Funder number
Barbara Ingalls Shoak Foundation
Harry H.Straus-Martha Washington Straus Foundation
National Institutes of Health (NIH)
National Institute of General Medical Sciences	R01GM030861

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

Access to Document

10.1093/bioinformatics/6.3.205

Cite this

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abstract = "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.",

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note = "Funding 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.",

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AU - Higgins, S. B.

AU - Watterson, D. M.

AU - Craig, T. A.

AU - Lukas, T. J.

AU - Eldik, L. J.Van

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N2 - 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.

AB - 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.

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A knowledge-based experimental design system for nucleic acid engineering

Abstract

Bibliographical note

Funding

ASJC Scopus subject areas

Access to Document

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