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Predicting pK(a) for proteins using COSMO-RS

We have used the COSMO-RS implicit solvation method to calculate the equilibrium constants, pK(a), for deprotonation of the acidic residues of the ovomucoid inhibitor protein, OMTKY3. The root mean square error for comparison with experimental data is only 0.5 pH units and the maximum error 0.8 pH u...

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Autores principales: Andersson, Martin Peter, Jensen, Jan Halborg, Stipp, Susan Louise Svane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817581/
https://www.ncbi.nlm.nih.gov/pubmed/24244915
http://dx.doi.org/10.7717/peerj.198
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author Andersson, Martin Peter
Jensen, Jan Halborg
Stipp, Susan Louise Svane
author_facet Andersson, Martin Peter
Jensen, Jan Halborg
Stipp, Susan Louise Svane
author_sort Andersson, Martin Peter
collection PubMed
description We have used the COSMO-RS implicit solvation method to calculate the equilibrium constants, pK(a), for deprotonation of the acidic residues of the ovomucoid inhibitor protein, OMTKY3. The root mean square error for comparison with experimental data is only 0.5 pH units and the maximum error 0.8 pH units. The results show that the accuracy of pK(a) prediction using COSMO-RS is as good for large biomolecules as it is for smaller inorganic and organic acids and that the method compares very well to previous pK(a) predictions of the OMTKY3 protein using Quantum Mechanics/Molecular Mechanics. Our approach works well for systems of about 1000 atoms or less, which makes it useful for small proteins as well as for investigating portions of larger proteins such as active sites in enzymes.
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spelling pubmed-38175812013-11-16 Predicting pK(a) for proteins using COSMO-RS Andersson, Martin Peter Jensen, Jan Halborg Stipp, Susan Louise Svane PeerJ Computational Biology We have used the COSMO-RS implicit solvation method to calculate the equilibrium constants, pK(a), for deprotonation of the acidic residues of the ovomucoid inhibitor protein, OMTKY3. The root mean square error for comparison with experimental data is only 0.5 pH units and the maximum error 0.8 pH units. The results show that the accuracy of pK(a) prediction using COSMO-RS is as good for large biomolecules as it is for smaller inorganic and organic acids and that the method compares very well to previous pK(a) predictions of the OMTKY3 protein using Quantum Mechanics/Molecular Mechanics. Our approach works well for systems of about 1000 atoms or less, which makes it useful for small proteins as well as for investigating portions of larger proteins such as active sites in enzymes. PeerJ Inc. 2013-10-31 /pmc/articles/PMC3817581/ /pubmed/24244915 http://dx.doi.org/10.7717/peerj.198 Text en © 2013 Andersson et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Computational Biology
Andersson, Martin Peter
Jensen, Jan Halborg
Stipp, Susan Louise Svane
Predicting pK(a) for proteins using COSMO-RS
title Predicting pK(a) for proteins using COSMO-RS
title_full Predicting pK(a) for proteins using COSMO-RS
title_fullStr Predicting pK(a) for proteins using COSMO-RS
title_full_unstemmed Predicting pK(a) for proteins using COSMO-RS
title_short Predicting pK(a) for proteins using COSMO-RS
title_sort predicting pk(a) for proteins using cosmo-rs
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817581/
https://www.ncbi.nlm.nih.gov/pubmed/24244915
http://dx.doi.org/10.7717/peerj.198
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