scholarly journals Correction: Rate constants, processivity, and productive binding ratio of chitinase A revealed by single-molecule analysis

2018 ◽  
Vol 20 (5) ◽  
pp. 3844-3844
Author(s):  
Akihiko Nakamura ◽  
Tomoyuki Tasaki ◽  
Yasuko Okuni ◽  
Chihong Song ◽  
Kazuyoshi Murata ◽  
...  
Keyword(s):  
Single Molecule ◽  
Rate Constants ◽  
Chem Phys ◽  
Binding Ratio ◽  
Correction Rate ◽  
Chitinase A ◽  
Single Molecule Analysis ◽  
Phys Chem Chem Phys

Correction for ‘Rate constants, processivity, and productive binding ratio of chitinase A revealed by single-molecule analysis’ by Akihiko Nakamura et al., Phys. Chem. Chem. Phys., 2018, DOI: 10.1039/c7cp04606e.

Rate constants, processivity, and productive binding ratio of chitinase A revealed by single-molecule analysis

2018 ◽  
Vol 20 (5) ◽  
pp. 3010-3018 ◽  
Author(s):  
Akihiko Nakamura ◽  
Tomoyuki Tasaki ◽  
Yasuko Okuni ◽  
Chihong Song ◽  
Kazuyoshi Murata ◽  
...  
Keyword(s):  
Single Molecule ◽  
Rate Constants ◽  
Elementary Reaction ◽  
Binding Ratio ◽  
Chitinase A ◽  
Single Molecule Analysis

Single-molecule analysis revealed elementary reaction steps and low productive binding ratio of chitinase A.

scholarly journals Correction: High pressure single-molecule FRET studies of the lysine riboswitch: cationic and osmolytic effects on pressure induced denaturation

2020 ◽  
Vol 22 (29) ◽  
pp. 17008-17009
Author(s):  
Hsuan-Lei Sung ◽  
David J. Nesbitt
Keyword(s):  
High Pressure ◽  
Single Molecule ◽  
Chem Phys ◽  
Single Molecule Fret ◽  
Phys Chem Chem Phys

Correction for ‘High pressure single-molecule FRET studies of the lysine riboswitch: cationic and osmolytic effects on pressure induced denaturation’ by Hsuan-Lei Sung et al., Phys. Chem. Chem. Phys., 2020, DOI: 10.1039/d0cp01921f.

`Diet GMKTN55' Offers Accelerated Benchmarking Through a Representative Subset Approach

2018 ◽  
Author(s):  
Tim Gould
Keyword(s):  
Density Functional ◽  
Chem Phys ◽  
Comprehensive Analysis ◽  
Genetic Approach ◽  
Representative Subset ◽  
Phys Chem Chem Phys

The GMTKN55 benchmarking protocol introduced by [Goerigk et al., Phys. Chem. Chem. Phys., 2017, 19, 32184] allows comprehensive analysis and ranking of density functional approximations with diverse chemical behaviours. But this comprehensiveness comes at a cost: GMTKN55's 1500 benchmarking values require energies for around 2500 systems to be calculated, making it a costly exercise. This manuscript introduces three subsets of GMTKN55, consisting of 30, 100 and 150 systems, as `diet' substitutes for the full database. The subsets are chosen via a stochastic genetic approach, and consequently can reproduce key results of the full GMTKN55 database, including ranking of approximations.

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