A set of computer programs called DINOSAUR has been developed, which allows the refinement of biomolecular structures directly from 2D NOE intensities. The NOE restraining potential implemented emphasises the weak intensities corresponding to larger distances which are more likely to determine the three-dimensional structure. An approximation based on a two-spin approximation is proposed for the gradient of the NOE intensities instead of the exact solution which is extremely time-consuming. The DINOSAUR routines have been implemented in various refinement programs (Distance bound Driven Dynamics, Molecular Dynamics and Energy Minimisation) and tested on an eight-residue model peptide
Nuclear Overhauser effect (NOE) data are routinely used to determine the structure of biomolecules.1...
Motivation: A prerequisite for any protein study by NMR is the assignment of the resonances from the...
Nuclear Magnetic Resonance (NMR) spectroscopy is a tool to investigate threedimensional (3D) structu...
A new constraint potential is proposed for the refinement of the three dimensional structure of biom...
In recent years a procedure has been developed by which the three‐dimensional (3D) structure of biom...
The technique of two-dimensional nuclear magnetic resonance (2D-NMR) has recently assumed an active ...
The technique of two-dimensional nuclear magnetic resonance (2D-NMR) has recently assumed an active ...
Among structural biology techniques, Nuclear Magnetic Resonance (NMR) provides a holistic view of st...
NMR data are collected as time- and ensemble-averaged quantities. Yet, in commonly used methods for ...
Nuclear Magnetic Resonance (NMR) Spectroscopy is an important technique that allows determining prot...
In this project we have developed a new computational methodology, based on statistical mechanics co...
structure refinement Determining an accurate initial native-like protein fold is one of the most imp...
Nuclear magnetic resonance (NMR) data from NOESY (nuclear Overhauser enhancement spectroscopy) and R...
Motivation: A prerequisite for any protein study by NMR is the assignment of the resonances from the...
The method of one-step perturbation can be used to predict from a single molecular dynamics simulati...
Nuclear Overhauser effect (NOE) data are routinely used to determine the structure of biomolecules.1...
Motivation: A prerequisite for any protein study by NMR is the assignment of the resonances from the...
Nuclear Magnetic Resonance (NMR) spectroscopy is a tool to investigate threedimensional (3D) structu...
A new constraint potential is proposed for the refinement of the three dimensional structure of biom...
In recent years a procedure has been developed by which the three‐dimensional (3D) structure of biom...
The technique of two-dimensional nuclear magnetic resonance (2D-NMR) has recently assumed an active ...
The technique of two-dimensional nuclear magnetic resonance (2D-NMR) has recently assumed an active ...
Among structural biology techniques, Nuclear Magnetic Resonance (NMR) provides a holistic view of st...
NMR data are collected as time- and ensemble-averaged quantities. Yet, in commonly used methods for ...
Nuclear Magnetic Resonance (NMR) Spectroscopy is an important technique that allows determining prot...
In this project we have developed a new computational methodology, based on statistical mechanics co...
structure refinement Determining an accurate initial native-like protein fold is one of the most imp...
Nuclear magnetic resonance (NMR) data from NOESY (nuclear Overhauser enhancement spectroscopy) and R...
Motivation: A prerequisite for any protein study by NMR is the assignment of the resonances from the...
The method of one-step perturbation can be used to predict from a single molecular dynamics simulati...
Nuclear Overhauser effect (NOE) data are routinely used to determine the structure of biomolecules.1...
Motivation: A prerequisite for any protein study by NMR is the assignment of the resonances from the...
Nuclear Magnetic Resonance (NMR) spectroscopy is a tool to investigate threedimensional (3D) structu...