The rational selection of purification processes for proteins: an expert system for downstream processing design.
This paper describes the present state of the art in the use of ES for the rational selection of optimal purification processes for proteins (process synthesis). The main issues involved in selection of operations and process synthesis are reviewed. The high-resolution purification stages (one, two, three, or even more chromatographic steps where several alternatives in different orders of combinations can be used) have a combinatorial nature that can be represented by a "tree" structure. It can be analyzed by a depth-first or a breath-first approach. The two previous prototypes that have been developed are reviewed. The first prototype was exclusively based on "expert" rules, and its main weakness was in the selection of high-resolution purification operations for which a database of physicochemical properties of the main protein contaminants is needed. This was implemented in the second prototype in which a program for the calculation of separation coefficients on selection of high-resolution purification operations based on a preliminary database was interfaced. The present prototype being created uses a newly developed shell, which has an open architecture and uses object-oriented programming. This prototype uses a more "realistic" and accurate database (e.g., titration curves for contaminant proteins) and a tested method for selection of purification operations. The ES for selection of optimal protein separation sequences will give the user a number of alternatives chosen on the basis of the extensive data backup on proteins and unit operations.
Leser
E W
EW
Biochemical Engineering Laboratory, University of Reading, United Kingdom.
Asenjo
J A
JA
D001709:Biotechnology; D005103:Expert Systems; D005818:Genetic Engineering; D011499:Protein Processing, Post-Translational; D011994:Recombinant Proteins / Q000096:biosynthesis / Q000235:genetics / Q000302:isolation & purification*; D012984:Software; D012985:Software Design
D011994:Recombinant Proteins