<p>In silico prediction of small molecules properties is widely used in todays industry and academia. Particularly, NMR spectra are predicted by a variety of software packages. Two main approaches are used:</p> <p>•Database-based. Compounds are compared against a database, the result is calculated using data for close structural relatives found in the dataset.</p> <p>•Regression-based. Experimental database is used to calculate parameters of non-linear regression. Chemical shift is represented as a non-linear function of some variables which describe characteristic features of a molecule of interest.</p
Files and coordinates associated with the paper titled 'Accurate and Cost-Effective NMR Chemical Shi...
${}^1\text{H}$ NMR chemical shifts for 30 organic compounds (396 data points) were predicted using f...
Nuclear magnetic resonance (NMR) chemical shifts play a large role in the structuralcharacterization...
Calculation of solution-state NMR parameters, including chemical shift values and scalar coupling co...
Protein nuclear magnetic resonance (NMR) chemical shifts are among the most accurately measurable sp...
Abstract: "Protein nuclear magnetic resonance (NMR) chemical shifts are among the most accurately me...
Abstract When using nuclear magnetic resonance (NMR) to assist in chemical identification in complex...
Recently supervised machine learning has been ascending in providing new predictive approaches for c...
The ability to reliably predict NMR chemical shifts plays an important role in elucidating the struc...
Nuclear magnetic resonance (NMR) chemical shifts are a direct probe of local atomic environments and...
In the past three or four years computer hardware and software developments have reached the stage w...
A comparative analysis of nuclear chemical shift predictions of proteins in the solid state by rapid...
Nuclear magnetic resonance (NMR) chemical shifts are a direct probe of local atomic environments and...
NMR chemical shifts are an important tool in characterizing molecular systems and structures. Accord...
Theoretical predictions of NMR chemical shifts from first-principles can greatly facilitate experime...
Files and coordinates associated with the paper titled 'Accurate and Cost-Effective NMR Chemical Shi...
${}^1\text{H}$ NMR chemical shifts for 30 organic compounds (396 data points) were predicted using f...
Nuclear magnetic resonance (NMR) chemical shifts play a large role in the structuralcharacterization...
Calculation of solution-state NMR parameters, including chemical shift values and scalar coupling co...
Protein nuclear magnetic resonance (NMR) chemical shifts are among the most accurately measurable sp...
Abstract: "Protein nuclear magnetic resonance (NMR) chemical shifts are among the most accurately me...
Abstract When using nuclear magnetic resonance (NMR) to assist in chemical identification in complex...
Recently supervised machine learning has been ascending in providing new predictive approaches for c...
The ability to reliably predict NMR chemical shifts plays an important role in elucidating the struc...
Nuclear magnetic resonance (NMR) chemical shifts are a direct probe of local atomic environments and...
In the past three or four years computer hardware and software developments have reached the stage w...
A comparative analysis of nuclear chemical shift predictions of proteins in the solid state by rapid...
Nuclear magnetic resonance (NMR) chemical shifts are a direct probe of local atomic environments and...
NMR chemical shifts are an important tool in characterizing molecular systems and structures. Accord...
Theoretical predictions of NMR chemical shifts from first-principles can greatly facilitate experime...
Files and coordinates associated with the paper titled 'Accurate and Cost-Effective NMR Chemical Shi...
${}^1\text{H}$ NMR chemical shifts for 30 organic compounds (396 data points) were predicted using f...
Nuclear magnetic resonance (NMR) chemical shifts play a large role in the structuralcharacterization...