What is he best known for?
The fields of study he is best known for:
Peter Güntert mostly deals with Protein structure, Cyana, Crystallography, NMR spectra database and Nuclear magnetic resonance spectroscopy.
The study incorporates disciplines such as Dihedral angle, Fibril and Residue in addition to Protein structure.
His research in Cyana intersects with topics in Structure, Biological system and Chemical shift.
The concepts of his Crystallography study are interwoven with issues in Proton NMR, Peptide sequence, Talos and Rhodopsin, Proteorhodopsin.
His studies examine the connections between Nuclear magnetic resonance spectroscopy and genetics, as well as such issues in Macromolecule, with regards to Transverse relaxation-optimized spectroscopy, Nuclear magnetic resonance spectroscopy of nucleic acids and Thermus thermophilus.
His Two-dimensional nuclear magnetic resonance spectroscopy research includes themes of Spectral line and Algorithm.
His most cited work include:
- TORSION ANGLE DYNAMICS FOR NMR STRUCTURE CALCULATION WITH THE NEW PROGRAM DYANA (2394 citations)
- The program XEASY for computer-supported NMR spectral analysis of biological macromolecules. (1309 citations)
- Protein NMR structure determination with automated NOE assignment using the new software CANDID and the torsion angle dynamics algorithm DYANA. (1308 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Crystallography, Protein structure, Cyana, Nuclear magnetic resonance spectroscopy and Stereochemistry.
His work in Crystallography tackles topics such as Dihedral angle which are related to areas like Conformational isomerism.
His research on Protein structure also deals with topics like
- Structure that connect with fields like Protein structure analysis,
- Biophysics, which have a strong connection to Ubiquitin.
In his work, Resonance is strongly intertwined with NMR spectra database, which is a subfield of Cyana.
His research investigates the connection with Stereochemistry and areas like Amino acid which intersect with concerns in Membrane protein.
His Two-dimensional nuclear magnetic resonance spectroscopy study integrates concerns from other disciplines, such as Spectral line and Nuclear Overhauser effect.
He most often published in these fields:
- Crystallography (45.80%)
- Protein structure (43.77%)
- Cyana (51.40%)
What were the highlights of his more recent work (between 2015-2021)?
- Nuclear magnetic resonance spectroscopy (38.93%)
- Crystallography (45.80%)
- Biophysics (20.87%)
In recent papers he was focusing on the following fields of study:
Peter Güntert mainly investigates Nuclear magnetic resonance spectroscopy, Crystallography, Biophysics, Protein structure and NMR spectra database.
His Nuclear magnetic resonance spectroscopy research is multidisciplinary, incorporating elements of Fibril, Structure and Biological system.
His Crystallography research incorporates themes from Conformational isomerism, Resonance and Solid-state nuclear magnetic resonance.
His Protein structure research focuses on Cyana in particular.
His Cyana research focuses on Analytical chemistry and how it connects with Protein structure analysis and Software package.
His NMR spectra database research incorporates themes from Algorithm and Resonance.
Between 2015 and 2021, his most popular works were:
- Atomic-resolution structure of a disease-relevant Aβ(1–42) amyloid fibril (424 citations)
- Atomic-resolution structure of a disease-relevant Aβ(1–42) amyloid fibril (424 citations)
- Atomic-resolution structure of a disease-relevant Aβ(1–42) amyloid fibril (424 citations)
In his most recent research, the most cited papers focused on:
Protein structure, Biophysics, Cyana, Isothermal titration calorimetry and Algorithm are his primary areas of study.
His Protein structure research is multidisciplinary, incorporating elements of Residue, Fibril and Recombinant DNA.
Peter Güntert focuses mostly in the field of Biophysics, narrowing it down to topics relating to Ubiquitin and, in certain cases, Calmodulin, Two-dimensional nuclear magnetic resonance spectroscopy, Nuclear Overhauser effect and Macromolecular crowding.
His work deals with themes such as Protein structure analysis, Scaling and Software package, which intersect with Cyana.
Peter Güntert has included themes like Protein secondary structure, Short linear motif, Coactivator, Binding domain and Nuclear receptor in his Isothermal titration calorimetry study.
His work on Correctness as part of general Algorithm study is frequently linked to Noise, Convexity and Contour line, therefore connecting diverse disciplines of science.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
