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Calibrative approaches to protein solubility modeling of a mutant series using physicochemical descriptors
A set of physicochemical properties describing a protein of known structure is employed for a calibrative approach to protein solubility. Common hydrodynamic and electrophoretic properties routinely measured in the bio-analytical laboratory such as zeta potential, dipole moment, the second osmotic v...
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Formato: | Texto |
Lenguaje: | English |
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Springer Netherlands
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2956060/ https://www.ncbi.nlm.nih.gov/pubmed/20842408 http://dx.doi.org/10.1007/s10822-010-9383-z |
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author | Long, William F. Labute, P. |
author_facet | Long, William F. Labute, P. |
author_sort | Long, William F. |
collection | PubMed |
description | A set of physicochemical properties describing a protein of known structure is employed for a calibrative approach to protein solubility. Common hydrodynamic and electrophoretic properties routinely measured in the bio-analytical laboratory such as zeta potential, dipole moment, the second osmotic virial coefficient are first estimated in silico as a function a pH and solution ionic strength starting with the protein crystal structure. The utility of these descriptors in understanding the solubility of a series of ribonuclease Sa mutants is investigated. A simple two parameter model was trained using solubility data of the wild type protein measured at a restricted number of solution pHs. Solubility estimates of the mutants demonstrate that zeta potential and dipole moment may be used to rationalize solubility trends over a wide pH range. Additionally a calibrative model based on the protein’s second osmotic virial coefficient, B (22) was developed. A modified DVLO type potential along with a simplified representation of the protein allowed for efficient computation of the second viral coefficient. The standard error of prediction for both models was on the order of 0.3 log S units. These results are very encouraging and demonstrate that these models may be trained with a small number of samples and employed extrapolatively for estimating mutant solubilities. |
format | Text |
id | pubmed-2956060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-29560602010-11-10 Calibrative approaches to protein solubility modeling of a mutant series using physicochemical descriptors Long, William F. Labute, P. J Comput Aided Mol Des Article A set of physicochemical properties describing a protein of known structure is employed for a calibrative approach to protein solubility. Common hydrodynamic and electrophoretic properties routinely measured in the bio-analytical laboratory such as zeta potential, dipole moment, the second osmotic virial coefficient are first estimated in silico as a function a pH and solution ionic strength starting with the protein crystal structure. The utility of these descriptors in understanding the solubility of a series of ribonuclease Sa mutants is investigated. A simple two parameter model was trained using solubility data of the wild type protein measured at a restricted number of solution pHs. Solubility estimates of the mutants demonstrate that zeta potential and dipole moment may be used to rationalize solubility trends over a wide pH range. Additionally a calibrative model based on the protein’s second osmotic virial coefficient, B (22) was developed. A modified DVLO type potential along with a simplified representation of the protein allowed for efficient computation of the second viral coefficient. The standard error of prediction for both models was on the order of 0.3 log S units. These results are very encouraging and demonstrate that these models may be trained with a small number of samples and employed extrapolatively for estimating mutant solubilities. Springer Netherlands 2010-09-15 2010 /pmc/articles/PMC2956060/ /pubmed/20842408 http://dx.doi.org/10.1007/s10822-010-9383-z Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Article Long, William F. Labute, P. Calibrative approaches to protein solubility modeling of a mutant series using physicochemical descriptors |
title | Calibrative approaches to protein solubility modeling of a mutant series using physicochemical descriptors |
title_full | Calibrative approaches to protein solubility modeling of a mutant series using physicochemical descriptors |
title_fullStr | Calibrative approaches to protein solubility modeling of a mutant series using physicochemical descriptors |
title_full_unstemmed | Calibrative approaches to protein solubility modeling of a mutant series using physicochemical descriptors |
title_short | Calibrative approaches to protein solubility modeling of a mutant series using physicochemical descriptors |
title_sort | calibrative approaches to protein solubility modeling of a mutant series using physicochemical descriptors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2956060/ https://www.ncbi.nlm.nih.gov/pubmed/20842408 http://dx.doi.org/10.1007/s10822-010-9383-z |
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