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Thomas Cleveland (Fed)

Physicist

Staff Bio

Thomas received his Ph.D. in 2014 from the Johns Hopkins School of Medicine, Program in Molecular Biophysics, in the laboratory of Prof. Daniel Leahy. During his Ph.D., he performed structural and biochemical studies on extracellular components of the Hedgehog signaling pathway, as well as biochemical studies of the EGFR/HER/ErbB family of receptors. He then joined the NIST Center for Neutron Research as a National Research Council (NRC) postdoctoral fellow in 2014, where he worked under Paul Butler and Susan Krueger. In his postdoctoral work, he used Small-Angle X-ray and Neutron Scattering (SAXS/SANS) to study the process of membrane protein incorporation and crystallization from the lipidic cubic phase (LCP). In addition, Thomas performed scattering studies on nanolipoprotein particles (NLPs), also known as “Nanodiscs,” assembled using a novel cell-free expression method. Modeling of the scattering data demonstrated that NLPs assembled in this way were structurally equivalent to traditionally-assembled NLPs.

In 2018, Thomas joined the NIST Biomolecular Structure and Function Group as a staff physicist, with a joint appointment at the Institute of Bioscience and Biotechnology Research (IBBR). IBBR is a joint research institute composed of groups from NIST, the University of Maryland College Park (UMD), and the University of Maryland Baltimore (UMB). His current research involves developing methods for the joint application of scattering and cryogenic electron microscopy (CryoEM) to heterogeneous systems, where traditional single-particle CryoEM by particle averaging is inapplicable. These include systems with conformational heterogeneity (e.g., flexible proteins such as antibodies) or compositional heterogeneity (such as protein/membrane/surfactant assemblies that may include a distribution of stoichiometries). Specific systems include advanced vaccine and gene therapy formulations, e.g. LNPs and viral vectors, as well as biotherapeutics such as monoclonal antibodies. He also currently serves as co-manager of the NIST/IBBR CryoEM facility.

Publications

Standards and Metrology for Viral Vectors as Molecular Tools: Outcomes from a CCQM Workshop

Author(s)
Janathan Campbell, Neil Almond, Y Bae, Ravneet Bhuller, Andrea Briones, S-Y CHO, Megan Cleveland, Thomas Cleveland, Francis Galaway, Hua-Jun He, U Herbrand, Jim Huggett, Sarah Kempster, Ibolya Kepiro, Afifa Khan, Edward Kwee, Wilson Li, Sheng Lin-Gibson, Luise Luckau, Caterina Minelli, M Ryadnov, I Searing, Lili Wang, Alexandra Whale, Julian Braybrook
Viral vectors are agents enabling gene transfer and genome editing and have widespread utility across the healthcare and biotechnology sectors. In January 2023

A Round-Robin Approach Provides a Detailed Assessment of Biomolecular Small-Angle Scattering Data Reproducibility and Yields Consensus Curves for Benchmarking.

Author(s)
Jill Trewhella, Patrice Vachette, Jan Bierma, Clement Blanchet, Emre Brookes, Srinivas Chakravarthy, Leonie Chatzimagas, Thomas Cleveland, Nathan Cowieson, Ben Crossett, Anthony P. Duff, Daniel Franke, Frank Gabel, Richard E. Gillilan, Melissa Graewert, Alexander Grishaev, Jules M. Guss, Michal Hammel, Jesse Hopkins, Qingqui Huang, Jochen S. Hub, Gregory L. Hura, Thomas C. Irving, Cy M. Jeffries, Cheol Jeong, Nigel Kirby, Susan N. Krueger, Anne Martel, Tsutomu Matsui, Na Li, Javier Perez, Lionel Porcar, Thierry Prange, Ivan Rajkovic, Mattia Rocco, Daniel J. Rosenberg, Timothy M. Ryan, Soenke Seifert, Hiroshi Sekiguchi, Dmitri Svergun, Susana C. Marujo Teixeira, Aurelien Thureau, Thomas M. Weiss, Andrew Whitten, Kathleen Wood, Xiaobing Zuo
Small-Angle Scattering (SAS) data from 5 candidate proteins (RNaseA, lysozyme, xylanase, urate oxidase and xylose isomerase) were measured on 12 Small-Angle X

Characterization of AI Model Configurations For Model Reuse

Author(s)
Peter Bajcsy, Daniel Gao, Michael Paul Majurski, Thomas Cleveland, Manuel Carrasco, Michael Buschmann, Walid Keyrouz
With the widespread creation of artificial intelligence (AI) models in biosciences, bio-medical researchers are reusing trained AI models from other

Ionization and Structural Properties of mRNA Lipid Nanoparticles that Influence Expression in Intramuscular and Intravascular Administration

Author(s)
Manuel Carrasco, Suman Alishetty, Mohamad-Gabriel Alameh, Hooda Said, Lacey Wright, Mikell Paige, Ousamah Soliman, Drew Weissman, Thomas Cleveland, Alexander Grishaev, Michael Buschmann
Lipid Nanoparticles (LNPs) are used to deliver siRNA and COVID-19 mRNA vaccines. The main factor known to determine their delivery efficiency is the pKa of the
Created March 26, 2019, Updated September 14, 2023