Predicting Protein Structures Accurately

@article{vonGrotthuss2004PredictingPS,
  title={Predicting Protein Structures Accurately},
  author={Marcin von Grotthuss and Lucjan Stanislaw Wyrwicz and Jakub Pas and Leszek Rychlewski},
  journal={Science},
  year={2004},
  volume={304},
  pages={1597 - 1599}
}
In their Research Article “Design of a novel globular protein fold with atomic-level accuracy,” B. Kuhlman et al. describe an extremely successful attempt to design a new protein (Top7) that folds to a predefined structure (21 Nov, p. [1364][1]). This is the first time an artificial protein of 
Progress in Modeling of Protein Structures and Interactions
TLDR
This review summarizes recent progress in modeling that suggests that the authors are entering an era in which high-resolution prediction and design will make increasingly important contributions to biology and medicine. Expand
The interactome: Predicting the protein-protein interactions in cells
TLDR
This short review compares various methods for predicting protein-protein interactions using sequence and structure information to present the complete methodology for the automatic selection of interaction partners using their amino acid sequences and/or three dimensional structures. Expand
Fusion Molecules of Heat Shock Protein HSPX with Other Antigens of Mycobacterium tuberculosis Show High Potential in Serodiagnosis of Tuberculosis
TLDR
Fusion molecules consisting of two or more antigens showing high sensitivity using these fusion molecules in combination with other antigenic molecules should reduce the number of antigenic proteins required for a more reliable and economical serodiagnosis of tuberculosis. Expand
DFT study on hydroxy acid-lactone interconversion of statins: The case of fluvastatin.
TLDR
A one-step, direct interconversion between the two forms turned out to be unfavourable, and the potential energy surface of fluvastatin was briefly inspected, revealing relatively small energetic differences between the key conformers. Expand
Quantum chemical study of the mechanism of ethylene elimination in silylative coupling of olefins
TLDR
Quantitative chemical calculations based on the density functional theory (DFT) suggest that the insertion of alkene into Ru-Si bond seems to be rate limiting step in the silylative coupling of olefins and the substituents attached to the silicon atom or the carbon atoms of an alkene by electronic and steric effects may significantly affect silyL migration and thus the effectiveness of the catalytic reaction. Expand

References

SHOWING 1-2 OF 2 REFERENCES
PROTINFO: secondary and tertiary protein structure prediction
TLDR
The PROTINFO server enables users to submit a protein sequence and request a prediction of the three-dimensional (tertiary) structure based on comparative modeling, fold generation and de novo methods developed by the authors. Expand
Structure prediction meta server
TLDR
The meta server translates the results obtained from remote services into uniform format, which are consequently used to request a jury prediction from a remote consensus server Pcons. Expand