Knowledge-based protein modelling

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 w...

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Main Author: Overington, John Paul
Published: Birkbeck (University of London) 1991
Subjects:
572
Online Access:https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715106
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spelling ndltd-bl.uk-oai-ethos.bl.uk-7151062019-03-14T03:19:22ZKnowledge-based protein modellingOverington, John Paul1991The 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.572Birkbeck (University of London)https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715106Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 572
spellingShingle 572
Overington, John Paul
Knowledge-based protein modelling
description 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.
author Overington, John Paul
author_facet Overington, John Paul
author_sort Overington, John Paul
title Knowledge-based protein modelling
title_short Knowledge-based protein modelling
title_full Knowledge-based protein modelling
title_fullStr Knowledge-based protein modelling
title_full_unstemmed Knowledge-based protein modelling
title_sort knowledge-based protein modelling
publisher Birkbeck (University of London)
publishDate 1991
url https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715106
work_keys_str_mv AT overingtonjohnpaul knowledgebasedproteinmodelling
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