Rafael Brüschweiler
Biochemistry, Genetics and Molecular Biology · The Ohio State University
Publications
258
Citations
12,385
Est. group size
~8
Recurring co-author estimate
Active years
40
Publishing since 1987
This researcher studies the structure and motion of proteins, including flexible and 'disordered' proteins that lack a fixed shape, using nuclear magnetic resonance (NMR) spectroscopy combined with computer simulations. Work also includes developing software tools for analyzing NMR data and predicting chemical properties of molecules, as well as refining the computational models (force fields) used to simulate how proteins move and interact with materials like nanoparticles.
Publication output has been relatively steady over the past decade, fluctuating between about 4 and 13 papers per year without a clear long-term increase or decline.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- COLMARvista: an open source 2D and pseudo-3D NMR spectral processing, visualization, and analysis software in JavaScript
Journal of Biomolecular NMR · 2025
- Comparative Analysis of Polarizable and Nonpolarizable CHARMM Family Force Fields for Proteins with Flexible Loops and High Charge Density
Journal of Chemical Information and Modeling · 2025
- Comparative analysis of Im7 dynamics with polarizable and non-polarizable CHARMM family of force fields
ChemRxiv · 2025
- Comparative study of Im7 dynamics: CHARMM36m vs. DRUDE2019 force fields with NMR validation
Biophysical Journal · 2024
- Coil-Library-Derived Amino-Acid-Specific Side-Chain χ<sub>1</sub> Dihedral Angle Potentials for AMBER-Type Protein Force Field
Journal of Chemical Theory and Computation · 2024
- Predicting protein flexibility with <scp>AlphaFold</scp>
Proteins Structure Function and Bioinformatics · 2023
- COLMARppm: A Web Server Tool for the Accurate and Rapid Prediction of <sup>1</sup>H and <sup>13</sup>C NMR Chemical Shifts of Organic Molecules and Metabolites
Analytical Chemistry · 2023
- Quantitative prediction of ensemble dynamics, shapes and contact propensities of intrinsically disordered proteins
PLoS Computational Biology · 2022
- Quantitative Multistate Binding Model of Silica Nanoparticle–Protein Interactions Obtained from Multinuclear Spin Relaxation
The Journal of Physical Chemistry B · 2022
- Quantitative prediction of ensemble dynamics, shapes and contact propensities of intrinsically disordered proteins
bioRxiv (Cold Spring Harbor Laboratory) · 2022
- Richard R. Ernst
Physics Today · 2022
- Reply on RC1
2022
- Reply on RC2
2022
- Systematic Differences between Current Molecular Dynamics Force Fields To Represent Local Properties of Intrinsically Disordered Proteins
The Journal of Physical Chemistry B · 2021
- NMR Spin Relaxation Theory of Biomolecules Undergoing Highly Asymmetric Exchange with Large Interaction Partners
Journal of Chemical Theory and Computation · 2021
- Analytical Chemistry×9
- Journal of the American Chemical Society×6
- Chemistry - A European Journal×4
- Angewandte Chemie International Edition×4
- Angewandte Chemie×4
- Nikolai R. Skrynnikov
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Xinyao Xiang
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Dawei Li
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Charles Christoffer
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Carol Beth Post
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile