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Frank Delaglio (Fed)

Principal Investigator

I develop computational methods for extracting useful information from Nuclear Magnetic Resonance (NMR) data, to support development and manufacturing of drugs and vaccines, and to support basic research in structural biology.  At NIST I focus on development of approaches for characterization of the high order structure of biologics, so that these important therapeutics can continue to be safe and effective, and become more available and affordable.  My areas of interest include multidimensional spectral processing and analysis, spectral fingerprinting, data visualization, and NMR homology approaches to biomolecular structure determination, and my work always includes the goal of producing practical, working software.  

In the NMR community, I'm best known as the developer of the NMRPipe software system (http://www.ibbr.umd.edu/nmrpipe/install.html), which has been cited over 10,000 times in peer-reviewed literature, and has been used to help generate over 40% of protein structures ever measured by NMR.

A full publication list is available on Google Scholar.

Publications

Monitoring Spectrometer Drift with Unsupervised Machine Learning

Author(s)
Benjamin Harding, Ziling Hu, Ashley Hiett, Frank Delaglio, Katherine Henzler- Wildman, Chad Rienstra
Solid-state NMR spectroscopy (SSNMR) is a powerful technique to probe structural and dynamic properties of molecules at an atomic level. Modern SSNMR methods

Interlaboratory Studies using the NISTmAb to Advance Biopharmaceutical Structural Analytics

Author(s)
Katharina Yandrofski, Trina Mouchahoir, M. Lorna De Leoz, David L. Duewer, Jeffrey W. Hudgens, Kyle Anderson, Luke Arbogast, Frank Delaglio, Robert Brinson, John Marino, Karen W. Phinney, Michael J. Tarlov, John E. Schiel
Biopharmaceuticals such as monoclonal antibodies are required to be rigorously characterized using a wide range of analytical methods. Various material
Created October 23, 2018, Updated December 8, 2022