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Peter Güntert

Researcher at Goethe University Frankfurt

Publications -  253
Citations -  22848

Peter Güntert is an academic researcher from Goethe University Frankfurt. The author has contributed to research in topics: Protein structure & Cyana. The author has an hindex of 68, co-authored 242 publications receiving 21339 citations. Previous affiliations of Peter Güntert include ETH Zurich & École Polytechnique Fédérale de Lausanne.

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Journal ArticleDOI

Torsion angle dynamics for nmr structure calculation with the new program dyana

TL;DR: Test calculations starting from conformers with random torsion angle values showed that DYANA is capable of efficient calculation of high-quality protein structures with up to 400 amino acid residues, and of nucleic acid structures.
Journal ArticleDOI

The program XEASY for computer-supported NMR spectral analysis of biological macromolecules.

TL;DR: XEASY was developed for work with 2D, 3D and 4D NMR data sets to provide maximal computer support for the analysis of spectra, while providing the user with complete control over the final resonance assignments.
Journal ArticleDOI

Protein NMR structure determination with automated NOE assignment using the new software CANDID and the torsion angle dynamics algorithm DYANA.

TL;DR: The CANDID approach has further been validated by de novo NMR structure determinations of four additional proteins and shows that once nearly complete sequence-specific resonance assignments are available, the automated CANDIDs approach results in greatly enhanced efficiency of the NOESY spectral analysis.
Book ChapterDOI

Automated NMR structure calculation with CYANA.

TL;DR: This chapter gives an introduction to automated nuclear magnetic resonance (NMR) structure calculation with the program CYANA.
Journal ArticleDOI

Efficient computation of three-dimensional protein structures in solution from nuclear magnetic resonance data using the program DIANA and the supporting programs CALIBA, HABAS and GLOMSA.

TL;DR: Initial results are presented on the influence of the novel DIANA treatment of diastereotopic protons on the quality of the structures obtained, and a systematic study of the central processing unit times needed for the same protein structure calculation on a range of different, commonly available computers is described.