NMR data prediction is increasingly important in structure elucidation. The impact of force field selection was assessed, along with geometry and energy cutoffs. Based on the conclusions, we propose a new approach named mix-J-DP4, which provides a remarkable increase in the confidence level of complex stereochemical assignments—100% in our molecular test set—with a very modest increment in computational cost
The DP4 probability is one of the most sophisticated and popular approaches for the stereochemical a...
NMR chemical shifts are an important tool in characterizing molecular systems and structures. Accord...
This review aims to examine literature where different force fields are compared by their performanc...
Fragment-based quantum chemical calculations based on our adjustable density matrix assembler (ADMA)...
A large-scale optimisation of density functional theory (DFT) conditions for computational NMR struc...
Recent hardware and software advances have enabled simulation studies of protein systems on biophysi...
A major challenge for metabolomic analysis is to obtain an unambiguous identification of the metabol...
Molecular dynamics ensembles of proteins generated by different force fields (AMBER ff99, ff99SB, ff...
: Some recent advances in biomolecular simulation and global optimization have used hybrid restraint...
Theoretical predictions of NMR chemical shifts from first-principles can greatly facilitate experime...
Nuclear magnetic resonance (NMR) chemical shifts play a large role in the structuralcharacterization...
Car–Parrinello molecular dynamics simulations were performed for <i>N</i>-methyl acetamide as a smal...
Calculation of solution-state NMR parameters, including chemical shift values and scalar coupling co...
The DP4 probability is one of the most sophisticated and popular approaches for the stereochemical a...
Fast and accurate protein structure prediction is one of the major challenges in structural biology,...
The DP4 probability is one of the most sophisticated and popular approaches for the stereochemical a...
NMR chemical shifts are an important tool in characterizing molecular systems and structures. Accord...
This review aims to examine literature where different force fields are compared by their performanc...
Fragment-based quantum chemical calculations based on our adjustable density matrix assembler (ADMA)...
A large-scale optimisation of density functional theory (DFT) conditions for computational NMR struc...
Recent hardware and software advances have enabled simulation studies of protein systems on biophysi...
A major challenge for metabolomic analysis is to obtain an unambiguous identification of the metabol...
Molecular dynamics ensembles of proteins generated by different force fields (AMBER ff99, ff99SB, ff...
: Some recent advances in biomolecular simulation and global optimization have used hybrid restraint...
Theoretical predictions of NMR chemical shifts from first-principles can greatly facilitate experime...
Nuclear magnetic resonance (NMR) chemical shifts play a large role in the structuralcharacterization...
Car–Parrinello molecular dynamics simulations were performed for <i>N</i>-methyl acetamide as a smal...
Calculation of solution-state NMR parameters, including chemical shift values and scalar coupling co...
The DP4 probability is one of the most sophisticated and popular approaches for the stereochemical a...
Fast and accurate protein structure prediction is one of the major challenges in structural biology,...
The DP4 probability is one of the most sophisticated and popular approaches for the stereochemical a...
NMR chemical shifts are an important tool in characterizing molecular systems and structures. Accord...
This review aims to examine literature where different force fields are compared by their performanc...