Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715106
Title: Knowledge-based protein modelling
Author: Overington, John Paul
Awarding Body: Birkbeck (University of London)
Current Institution: Birkbeck (University of London)
Date of Award: 1991
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Abstract:
The automated protein modelling program COMPOSER is tested and improved. A test case of the model building of trypsin is described. Prior to the enhancements made to the program the RMSD of the automatically built model was 3.46A, after the improvements this figure is reduced to 1.58A. The program was applied to two ’real-life’ problems from the pharmaceutical industry. The first is the modelling of the serine proteinase domain of tissue-type plasminogen activator. Predictions are made as to residues likely to be important in binding specific endogenous inhibitors. The second example is the modelling of the proteinase from HIV-l on the basis of structures of the distantly related aspartic proteinases and later on the more similar structure of RSV proteinase. The model was later used in the molecular replacement derived solution of the x-ray structure of HIV -1 proteinase.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.715106  DOI: Not available
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