id todo:paper_09596658_v25_n2_p181_Modenutti
record_format dspace
spelling todo:paper_09596658_v25_n2_p181_Modenutti2023-10-03T15:53:07Z Using crystallographic water properties for the analysis and prediction of lectin-carbohydrate complex structures Modenutti, C. Gauto, D. Radusky, L. Blanco, J. Turjanski, A. Hajos, S. Marti, M.A. carbohydrate docking hydration lectin Naive Bayes classifier sites water sites carbohydrate lectin oxygen water disaccharide lectin monosaccharide protein binding trisaccharide water accuracy amino acid composition Article Bayesian learning binding site carbohydrate analysis crystal structure crystallography hydrogen bond ligand binding molecular docking molecular recognition predictive value priority journal protein analysis protein interaction protein structure Bayes theorem chemical structure chemistry conformation X ray crystallography Bayes Theorem Binding Sites Carbohydrate Conformation Crystallography, X-Ray Disaccharides Lectins Models, Molecular Monosaccharides Protein Binding Trisaccharides Water Understanding protein-ligand interactions is a fundamental question in basic biochemistry, and the role played by the solvent along this process is not yet fully understood. This fact is particularly relevant in lectins, proteins that mediate a large variety of biological processes through the recognition of specific carbohydrates. In the present work, we have thoroughly analyzed a nonredundant and well-curated set of lectin structures looking for a potential relationship between the structural water properties in the apo-structures and the corresponding protein-ligand complex structures. Our results show that solvent structure adjacent to the binding sites mimics the ligand oxygen structural framework in the resulting protein-ligand complex, allowing us to develop a predictive method using a Naive Bayes classifier. We also show how these properties can be used to improve docking predictions of lectin-carbohydrate complex structures in terms of both accuracy and precision, thus developing a solid strategy for the rational design of glycomimetic drugs. Overall our results not only contribute to the understanding of protein-ligand complexes, but also underscore the role of the water solvent in the ligand recognition process. Finally, we discuss our findings in the context of lectin specificity and ligand recognition properties. © 2014 The Author 2014. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. Fil:Gauto, D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Turjanski, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Marti, M.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_09596658_v25_n2_p181_Modenutti
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic carbohydrate
docking
hydration
lectin
Naive Bayes classifier
sites
water sites
carbohydrate
lectin
oxygen
water
disaccharide
lectin
monosaccharide
protein binding
trisaccharide
water
accuracy
amino acid composition
Article
Bayesian learning
binding site
carbohydrate analysis
crystal structure
crystallography
hydrogen bond
ligand binding
molecular docking
molecular recognition
predictive value
priority journal
protein analysis
protein interaction
protein structure
Bayes theorem
chemical structure
chemistry
conformation
X ray crystallography
Bayes Theorem
Binding Sites
Carbohydrate Conformation
Crystallography, X-Ray
Disaccharides
Lectins
Models, Molecular
Monosaccharides
Protein Binding
Trisaccharides
Water
spellingShingle carbohydrate
docking
hydration
lectin
Naive Bayes classifier
sites
water sites
carbohydrate
lectin
oxygen
water
disaccharide
lectin
monosaccharide
protein binding
trisaccharide
water
accuracy
amino acid composition
Article
Bayesian learning
binding site
carbohydrate analysis
crystal structure
crystallography
hydrogen bond
ligand binding
molecular docking
molecular recognition
predictive value
priority journal
protein analysis
protein interaction
protein structure
Bayes theorem
chemical structure
chemistry
conformation
X ray crystallography
Bayes Theorem
Binding Sites
Carbohydrate Conformation
Crystallography, X-Ray
Disaccharides
Lectins
Models, Molecular
Monosaccharides
Protein Binding
Trisaccharides
Water
Modenutti, C.
Gauto, D.
Radusky, L.
Blanco, J.
Turjanski, A.
Hajos, S.
Marti, M.A.
Using crystallographic water properties for the analysis and prediction of lectin-carbohydrate complex structures
topic_facet carbohydrate
docking
hydration
lectin
Naive Bayes classifier
sites
water sites
carbohydrate
lectin
oxygen
water
disaccharide
lectin
monosaccharide
protein binding
trisaccharide
water
accuracy
amino acid composition
Article
Bayesian learning
binding site
carbohydrate analysis
crystal structure
crystallography
hydrogen bond
ligand binding
molecular docking
molecular recognition
predictive value
priority journal
protein analysis
protein interaction
protein structure
Bayes theorem
chemical structure
chemistry
conformation
X ray crystallography
Bayes Theorem
Binding Sites
Carbohydrate Conformation
Crystallography, X-Ray
Disaccharides
Lectins
Models, Molecular
Monosaccharides
Protein Binding
Trisaccharides
Water
description Understanding protein-ligand interactions is a fundamental question in basic biochemistry, and the role played by the solvent along this process is not yet fully understood. This fact is particularly relevant in lectins, proteins that mediate a large variety of biological processes through the recognition of specific carbohydrates. In the present work, we have thoroughly analyzed a nonredundant and well-curated set of lectin structures looking for a potential relationship between the structural water properties in the apo-structures and the corresponding protein-ligand complex structures. Our results show that solvent structure adjacent to the binding sites mimics the ligand oxygen structural framework in the resulting protein-ligand complex, allowing us to develop a predictive method using a Naive Bayes classifier. We also show how these properties can be used to improve docking predictions of lectin-carbohydrate complex structures in terms of both accuracy and precision, thus developing a solid strategy for the rational design of glycomimetic drugs. Overall our results not only contribute to the understanding of protein-ligand complexes, but also underscore the role of the water solvent in the ligand recognition process. Finally, we discuss our findings in the context of lectin specificity and ligand recognition properties. © 2014 The Author 2014. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
format JOUR
author Modenutti, C.
Gauto, D.
Radusky, L.
Blanco, J.
Turjanski, A.
Hajos, S.
Marti, M.A.
author_facet Modenutti, C.
Gauto, D.
Radusky, L.
Blanco, J.
Turjanski, A.
Hajos, S.
Marti, M.A.
author_sort Modenutti, C.
title Using crystallographic water properties for the analysis and prediction of lectin-carbohydrate complex structures
title_short Using crystallographic water properties for the analysis and prediction of lectin-carbohydrate complex structures
title_full Using crystallographic water properties for the analysis and prediction of lectin-carbohydrate complex structures
title_fullStr Using crystallographic water properties for the analysis and prediction of lectin-carbohydrate complex structures
title_full_unstemmed Using crystallographic water properties for the analysis and prediction of lectin-carbohydrate complex structures
title_sort using crystallographic water properties for the analysis and prediction of lectin-carbohydrate complex structures
url http://hdl.handle.net/20.500.12110/paper_09596658_v25_n2_p181_Modenutti
work_keys_str_mv AT modenuttic usingcrystallographicwaterpropertiesfortheanalysisandpredictionoflectincarbohydratecomplexstructures
AT gautod usingcrystallographicwaterpropertiesfortheanalysisandpredictionoflectincarbohydratecomplexstructures
AT raduskyl usingcrystallographicwaterpropertiesfortheanalysisandpredictionoflectincarbohydratecomplexstructures
AT blancoj usingcrystallographicwaterpropertiesfortheanalysisandpredictionoflectincarbohydratecomplexstructures
AT turjanskia usingcrystallographicwaterpropertiesfortheanalysisandpredictionoflectincarbohydratecomplexstructures
AT hajoss usingcrystallographicwaterpropertiesfortheanalysisandpredictionoflectincarbohydratecomplexstructures
AT martima usingcrystallographicwaterpropertiesfortheanalysisandpredictionoflectincarbohydratecomplexstructures
_version_ 1807315469966770176