Semi‐empirical model to estimate ideal conditions for the growth of large protein crystals. Issue 12 (2nd December 2020)
- Record Type:
- Journal Article
- Title:
- Semi‐empirical model to estimate ideal conditions for the growth of large protein crystals. Issue 12 (2nd December 2020)
- Main Title:
- Semi‐empirical model to estimate ideal conditions for the growth of large protein crystals
- Authors:
- Nakamura, Hirohiko
Takahashi, Sachiko
Inaka, Koji
Tanaka, Hiroaki - Abstract:
- Abstract : A semi‐empirical model to estimate the optimum conditions for the growth of large protein crystals has been developed. Abstract : A large high‐quality crystal is required to specify the positions of H atoms in neutron structural analysis. Consequently, several methods have been proposed for obtaining such large crystals, and theoretical considerations for growing them have been presented. However, further investigation is required to obtain a numerical model that can provide quantitative experimental conditions for obtaining a single large crystal. In the case of protein crystallization experiments, the amount of sample is often limited. Therefore, it is more realistic to make a rough estimation from a small number of experiments. This paper proposes a method of estimating the optimum experimental conditions for the growth of large protein crystals by performing a small number of experiments using a micro‐batch method and reporting a numerical model based on nucleation theory and a linear approximation of the crystal‐growth rate. Specifically, micro‐batch experiments are performed to provide the empirical parameters for the model and to help to estimate the conditions for the growth of a crystal of a predetermined size using a certain sample concentration and volume. This method is offered as a step on the path towards efficiently and rationally producing large crystals that can be subjected to neutron diffraction without depending on luck or on performing manyAbstract : A semi‐empirical model to estimate the optimum conditions for the growth of large protein crystals has been developed. Abstract : A large high‐quality crystal is required to specify the positions of H atoms in neutron structural analysis. Consequently, several methods have been proposed for obtaining such large crystals, and theoretical considerations for growing them have been presented. However, further investigation is required to obtain a numerical model that can provide quantitative experimental conditions for obtaining a single large crystal. In the case of protein crystallization experiments, the amount of sample is often limited. Therefore, it is more realistic to make a rough estimation from a small number of experiments. This paper proposes a method of estimating the optimum experimental conditions for the growth of large protein crystals by performing a small number of experiments using a micro‐batch method and reporting a numerical model based on nucleation theory and a linear approximation of the crystal‐growth rate. Specifically, micro‐batch experiments are performed to provide the empirical parameters for the model and to help to estimate the conditions for the growth of a crystal of a predetermined size using a certain sample concentration and volume. This method is offered as a step on the path towards efficiently and rationally producing large crystals that can be subjected to neutron diffraction without depending on luck or on performing many experiments. It is expected to contribute to drug design and the elucidation of protein molecular functions and mechanisms by obtaining positional information on H atoms in the protein molecule, which is an advantage of neutron diffraction. … (more)
- Is Part Of:
- Acta crystallographica. Volume 76:Issue 12(2020)
- Journal:
- Acta crystallographica
- Issue:
- Volume 76:Issue 12(2020)
- Issue Display:
- Volume 76, Issue 12 (2020)
- Year:
- 2020
- Volume:
- 76
- Issue:
- 12
- Issue Sort Value:
- 2020-0076-0012-0000
- Page Start:
- 1174
- Page End:
- 1183
- Publication Date:
- 2020-12-02
- Subjects:
- large protein crystals -- nucleation -- crystal growth -- crystallography -- neutron protein crystallography -- neutron diffraction -- semi‐empirical models -- numerical models
X-ray crystallography -- Periodicals
Crystallography -- Periodicals
Molecular biology -- Periodicals
Molecular structure -- Periodicals
Biomolecules -- Structure -- Periodicals
Cytology -- Periodicals
Biomolecules -- Structure
Crystallography
Cytology
Molecular biology
Molecular structure
X-ray crystallography
Periodicals
548 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1107/S20597983/issues ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1107/S205979832001445X ↗
- Languages:
- English
- ISSNs:
- 2059-7983
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15056.xml