Modelling substrate specificity and enantioselectivity for lipases and esterases by substrate-imprinted docking

Abstract Background Previously, ways to adapt docking programs that were developed for modelling inhibitor-receptor interaction have been explored. Two main issues were discussed. First, when trying to model catalysis a reaction intermediate of the substrate is expected to provide more valid informa...

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Published in:BMC Structural Biology
Main Authors: Juhl, P Benjamin, Trodler, Peter, Tyagi, Sadhna, Pleiss, Jürgen
Format: Article in Journal/Newspaper
Language:English
Published: Springer Science and Business Media LLC 2009
Subjects:
Online Access:http://dx.doi.org/10.1186/1472-6807-9-39
https://link.springer.com/content/pdf/10.1186/1472-6807-9-39.pdf
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spelling crspringernat:10.1186/1472-6807-9-39 2023-05-15T14:07:25+02:00 Modelling substrate specificity and enantioselectivity for lipases and esterases by substrate-imprinted docking Juhl, P Benjamin Trodler, Peter Tyagi, Sadhna Pleiss, Jürgen 2009 http://dx.doi.org/10.1186/1472-6807-9-39 https://link.springer.com/content/pdf/10.1186/1472-6807-9-39.pdf en eng Springer Science and Business Media LLC BMC Structural Biology volume 9, issue 1 ISSN 1472-6807 Structural Biology journal-article 2009 crspringernat https://doi.org/10.1186/1472-6807-9-39 2022-01-04T07:59:22Z Abstract Background Previously, ways to adapt docking programs that were developed for modelling inhibitor-receptor interaction have been explored. Two main issues were discussed. First, when trying to model catalysis a reaction intermediate of the substrate is expected to provide more valid information than the ground state of the substrate. Second, the incorporation of protein flexibility is essential for reliable predictions. Results Here we present a predictive and robust method to model substrate specificity and enantioselectivity of lipases and esterases that uses reaction intermediates and incorporates protein flexibility. Substrate-imprinted docking starts with covalent docking of reaction intermediates, followed by geometry optimisation of the resulting enzyme-substrate complex. After a second round of docking the same substrate into the geometry-optimised structures, productive poses are identified by geometric filter criteria and ranked by their docking scores. Substrate-imprinted docking was applied in order to model (i) enantioselectivity of Candida antarctica lipase B and a W104A mutant, (ii) enantioselectivity and substrate specificity of Candida rugosa lipase and Burkholderia cepacia lipase, and (iii) substrate specificity of an acetyl- and a butyrylcholine esterase toward the substrates acetyl- and butyrylcholine. Conclusion The experimentally observed differences in selectivity and specificity of the enzymes were reproduced with an accuracy of 81%. The method was robust toward small differences in initial structures (different crystallisation conditions or a co-crystallised ligand), although large displacements of catalytic residues often resulted in substrate poses that did not pass the geometric filter criteria. Article in Journal/Newspaper Antarc* Antarctica Springer Nature (via Crossref) Rugosa ENVELOPE(-61.250,-61.250,-62.633,-62.633) BMC Structural Biology 9 1
institution Open Polar
collection Springer Nature (via Crossref)
op_collection_id crspringernat
language English
topic Structural Biology
spellingShingle Structural Biology
Juhl, P Benjamin
Trodler, Peter
Tyagi, Sadhna
Pleiss, Jürgen
Modelling substrate specificity and enantioselectivity for lipases and esterases by substrate-imprinted docking
topic_facet Structural Biology
description Abstract Background Previously, ways to adapt docking programs that were developed for modelling inhibitor-receptor interaction have been explored. Two main issues were discussed. First, when trying to model catalysis a reaction intermediate of the substrate is expected to provide more valid information than the ground state of the substrate. Second, the incorporation of protein flexibility is essential for reliable predictions. Results Here we present a predictive and robust method to model substrate specificity and enantioselectivity of lipases and esterases that uses reaction intermediates and incorporates protein flexibility. Substrate-imprinted docking starts with covalent docking of reaction intermediates, followed by geometry optimisation of the resulting enzyme-substrate complex. After a second round of docking the same substrate into the geometry-optimised structures, productive poses are identified by geometric filter criteria and ranked by their docking scores. Substrate-imprinted docking was applied in order to model (i) enantioselectivity of Candida antarctica lipase B and a W104A mutant, (ii) enantioselectivity and substrate specificity of Candida rugosa lipase and Burkholderia cepacia lipase, and (iii) substrate specificity of an acetyl- and a butyrylcholine esterase toward the substrates acetyl- and butyrylcholine. Conclusion The experimentally observed differences in selectivity and specificity of the enzymes were reproduced with an accuracy of 81%. The method was robust toward small differences in initial structures (different crystallisation conditions or a co-crystallised ligand), although large displacements of catalytic residues often resulted in substrate poses that did not pass the geometric filter criteria.
format Article in Journal/Newspaper
author Juhl, P Benjamin
Trodler, Peter
Tyagi, Sadhna
Pleiss, Jürgen
author_facet Juhl, P Benjamin
Trodler, Peter
Tyagi, Sadhna
Pleiss, Jürgen
author_sort Juhl, P Benjamin
title Modelling substrate specificity and enantioselectivity for lipases and esterases by substrate-imprinted docking
title_short Modelling substrate specificity and enantioselectivity for lipases and esterases by substrate-imprinted docking
title_full Modelling substrate specificity and enantioselectivity for lipases and esterases by substrate-imprinted docking
title_fullStr Modelling substrate specificity and enantioselectivity for lipases and esterases by substrate-imprinted docking
title_full_unstemmed Modelling substrate specificity and enantioselectivity for lipases and esterases by substrate-imprinted docking
title_sort modelling substrate specificity and enantioselectivity for lipases and esterases by substrate-imprinted docking
publisher Springer Science and Business Media LLC
publishDate 2009
url http://dx.doi.org/10.1186/1472-6807-9-39
https://link.springer.com/content/pdf/10.1186/1472-6807-9-39.pdf
long_lat ENVELOPE(-61.250,-61.250,-62.633,-62.633)
geographic Rugosa
geographic_facet Rugosa
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_source BMC Structural Biology
volume 9, issue 1
ISSN 1472-6807
op_doi https://doi.org/10.1186/1472-6807-9-39
container_title BMC Structural Biology
container_volume 9
container_issue 1
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