U.S. Department of Health and Human Services
Adrian Bax
 

 Contact Info

 
Tel: 301-496-2848
Email: bax@nih.gov
 

 Select Experience

 
  • Ph.D.Delft University of Technology1981
  • B.S.Delft University of Technology1978
 

 Related Links

 

Adriaan Bax, Ph.D., NIH Distinguished Investigator

Chief, Laboratory of Chemical PhysicsBiophysical Nuclear Magnetic Resonance Spectroscopy Section
Specialties
  • Biomedical Engineering/Biophysics/Physics
  • Chemistry/Chemical Biology
  • Structural Biology

Research Summary

Research Goal

The ultimate goal is to extend the capability of currently available methods to study the structure and mobility of all biologically important macromolecules, including those embedded in membranes or large molecular machines.​

Current Research

Our research is focused on developing new techniques and approaches for determining the structure and dynamics of bioactive molecules. We have four primary areas of interest that are detailed below.

Our first area of interest is in improving the accuracy of biomolecular structures determined by nuclear magnetic resonance (NMR) data. We are especially interested in developing the following: (a) better measurement techniques for interproton distances and dihedral angles from nuclear Overhauser effects (NOE) and J couplings, and (b) a quantitative relation between molecular structure and chemical shift(s) anisotropy.

Our second area of interest is in characterizing long-range intramolecular order by the measurement of dipolar couplings and rotational diffusion anisotropy. The methods we are developing address the main shortcoming of conventional NMR methods—the fact that they provide strictly local structural constraints.

Our third area of interest is in using NMR methods to study the relation between protein mobility and function.

Our fourth area of interest is in developing NMR technology that facilitates the structure determination process and makes it applicable to larger molecular weight systems. Effectively, our aim is to integrate de novo modeling approaches with sparse or easily accessible experimental data, including chemical shifts and amide and methyl group NOE data.

Applying our Research

Deeper understanding of macromolecular structures and their dynamic properties will improve our knowledge of how biology works at the molecular level and provide insights into complex diseases, including amyloidosis (such as Alzheimer’s, diabetes, and Parkinson’s), cancer, and many others. This will providing opportunities to intervene in such disease processes in a targeted manner.

Need for Further Study

Further technological improvements are needed at all levels, ranging from very fundamental issues such as the relation between chemical shift and local structure, enhanced methods to extract chemical shift and other structural restraints from complex NMR spectra, to the development of computationally sophisticated procedures at the interface between molecular modeling and classical experimental structure determination. Together, this will expedite the process and extend its applicability to ever larger and more complex systems.