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. 2023 Sep;28(6):270-274.
doi: 10.1016/j.slasd.2023.03.001. Epub 2023 Mar 14.

Drug discovery efforts at George Mason University

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Free article

Drug discovery efforts at George Mason University

Ali Andalibi et al. SLAS Discov. 2023 Sep.
Free article

Abstract

With over 39,000 students, and research expenditures in excess of $200 million, George Mason University (GMU) is the largest R1 (Carnegie Classification of very high research activity) university in Virginia. Mason scientists have been involved in the discovery and development of novel diagnostics and therapeutics in areas as diverse as infectious diseases and cancer. Below are highlights of the efforts being led by Mason researchers in the drug discovery arena. To enable targeted cellular delivery, and non-biomedical applications, Veneziano and colleagues have developed a synthesis strategy that enables the design of self-assembling DNA nanoparticles (DNA origami) with prescribed shape and size in the 10 to 100 nm range. The nanoparticles can be loaded with molecules of interest such as drugs, proteins and peptides, and are a promising new addition to the drug delivery platforms currently in use. The investigators also recently used the DNA origami nanoparticles to fine tune the spatial presentation of immunogens to study the impact on B cell activation. These studies are an important step towards the rational design of vaccines for a variety of infectious agents. To elucidate the parameters for optimizing the delivery efficiency of lipid nanoparticles (LNPs), Buschmann, Paige and colleagues have devised methods for predicting and experimentally validating the pKa of LNPs based on the structure of the ionizable lipids used to formulate the LNPs. These studies may pave the way for the development of new LNP delivery vehicles that have reduced systemic distribution and improved endosomal release of their cargo post administration. To better understand protein-protein interactions and identify potential drug targets that disrupt such interactions, Luchini and colleagues have developed a methodology that identifies contact points between proteins using small molecule dyes. The dye molecules noncovalently bind to the accessible surfaces of a protein complex with very high affinity, but are excluded from contact regions. When the complex is denatured and digested with trypsin, the exposed regions covered by the dye do not get cleaved by the enzyme, whereas the contact points are digested. The resulting fragments can then be identified using mass spectrometry. The data generated can serve as the basis for designing small molecules and peptides that can disrupt the formation of protein complexes involved in disease processes. For example, using peptides based on the interleukin 1 receptor accessory protein (IL-1RAcP), Luchini, Liotta, Paige and colleagues disrupted the formation of IL-1/IL-R/IL-1RAcP complex and demonstrated that the inhibition of complex formation reduced the inflammatory response to IL-1B. Working on the discovery of novel antimicrobial agents, Bishop, van Hoek and colleagues have discovered a number of antimicrobial peptides from reptiles and other species. DRGN-1, is a synthetic peptide based on a histone H1-derived peptide that they had identified from Komodo Dragon plasma. DRGN-1 was shown to disrupt bacterial biofilms and promote wound healing in an animal model. The peptide, along with others, is being developed and tested in preclinical studies. Other research by van Hoek and colleagues focuses on in silico antimicrobial peptide discovery, screening of small molecules for antibacterial properties, as well as assessment of diffusible signal factors (DFS) as future therapeutics. The above examples provide insight into the cutting-edge studies undertaken by GMU scientists to develop novel methodologies and platform technologies important to drug discovery.

Keywords: Antimicrobial peptides; DNA origami; Lipid nanoparticles; Protein painting.

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Conflict of interest statement

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Funding W81XWH2010054 DOD/United States P41 GM103832/GM/NIGMS NIH HHS/United States NSF EAGER (CCF-1547999) K99EB030013 NIBIB NIH/HHS/United States U. S. Army Research Office through the Institute for Soldier Nanotechnologies at MIT (Cooperative Agreement Number W911NF-18-2-0048) R21-EB026008, R01-MH112694, AI048240, UM1AI144462, and UM1AI100663 NIH/HHS/United States R01-AI 143740, R01-AI 146581 NIH/HHS/United States 1R21CA177535-01 NCI/NIH/HHS/United States R01 AR068436/AR/NIAMS NIH HHS/United States R21 CA177535/CA/NCI NIH HHS/United States R33 CA173359/CA/NCI NIH HHS/United States R33 CA206937/CA/NCI NIH HHS/United States R01 AI132766/AI/NIAID NIH HHS/United States HDTRA1-12-C-0039 DE-FC52-04NA25455 DOE/United States R01AI105147 NIAID/ R01GM138552 GM/NIH/HHS/United StatesNIH/HHS/United States DHS 2010-ST-061-AG0002 1R33CA173359-01 NCI/NIH/HHS/United States 1R21AR061075-01 NIAMS/NIH/HHS/United States P50 GM103297/GM/NIGMS NIH HHS/United States ONR (grants N00014-17-1-2609; N00014-16-1-2181; N00014-16-1-2953) Human Frontier Science Program (RGP0029/2014) P41GM103832/GM/NIGMS NIH HHS/United States P50GM103297/GM/NIGMS NIH HHS/United States

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