This federal Project Grant award from the Department of the Navy's Office of Naval Research (CFDA 12.300 - Basic and Applied Scientific Research) provides $497,909.00 to Arizona State University (ASU) to develop an "Augmented Multiplex Electrochemical Detection/Quantitation Platform" for predicting disease contagiousness. The award, which runs from May 23, 2025 to May 22, 2026, supports fundamental and applied research that has the potential to advance naval operations and broader...
This Project Grant award from the National Institute of General Medical Sciences (NIGMS), under CFDA Program 93.859 Biomedical Research and Research Training, provides $940,288 to Arizona State University (ASU) to develop an innovative DNA nanotechnology-based system for targeted protein degradation. The project aims to: 1) optimize the programmability of a DNA-based protein degradation system by transitioning to multi-targeting DNA nanostructures; 2) assess spatial effects on degradation...
This Project Grant award from the National Institutes of Health (NIH) under the Research Infrastructure Programs (CFDA 93.351) provides $1,999,997 to Arizona State University (ASU) to acquire an electron energy filtering system and direct electron detector camera to upgrade the university's cryo-electron microscopy (cryo-EM) capabilities. The new instrumentation aims to improve the resolution and data quality of cryo-EM studies, enabling ASU researchers to better investigate biomolecular...
This Project Grant award from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), provides $350,000 to Electronic Biosciences, Inc. to develop and demonstrate a novel enzyme-based, single-molecule protein sequencing system. The innovative platform aims to leverage enzyme-driven processing and sequencing of individual proteins and peptides, combined with advanced bioinformatics, to achieve high accuracy and...
This federal Project Grant award in the amount of $1,044,566 was provided by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859). The award supports research to develop machine learning models for predicting protein interactions, with a focus on immune receptors such as T cell receptors (TCRs) and B cell receptors (BCRs). The key products and services to be delivered include: Developing computational methods and...
Arizona State University was awarded a $121,529.81 Project Grant from the Department of the Navy Secretary of the Navy Office of Naval Research to support GPU servers for computational biomaterial design, evolutionary GPU code optimization, and on-line simulations from August 5, 2021 to August 4, 2022. The funding supports the university's work under the Basic and Applied Scientific Research program (CFDA 12.300), which aims to stimulate basic and applied research with potential to improve naval...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Arizona State University a $229,038 Project Grant under the Engineering (47.041) federal grant program. The grant will support the development of an integrated hardware and software system solution for Micro-Electrode-Dot-Array biochips. Key deliverables include modeling and robust controller design, adaptive and elastic synthesis techniques, optimization methods for multi-reactant synthesis, and...
The University of Southern California was awarded a $2,689,528 Project Grant from the Department of Health and Human Services' National Institute of General Medical Sciences Biomedical Research and Training program (CFDA 93.859) to develop novel bio-orthogonal nanosensors. Over a three-year period ending August 2025, the University will create fluorine-based nanoparticles with dual functionalities to non-invasively sense and stimulate ionic neurotransmitters. Specifically, the nanoparticles will...
The National Human Genome Research Institute (NHGRI), under the Federal Grant Program "Human Genome Research" (CFDA 93.172), awarded a $407,291 Phase I Small Business Innovation Research (SBIR) grant to Electronic Biosciences, Inc. to develop a nanopore-based protein sequencing platform. The project aims to create a high-accuracy, label-free nanopore reader capable of direct, single-molecule protein sequencing. This novel technology would enable proteome-wide profiling, biomarker...
The National Science Foundation (NSF) awarded a $1,384,726 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Arizona State University (ASU) to develop an open-source ecosystem for nucleic acid nanotechnology modeling. The grant aims to transition the existing oxDNA simulation software into a comprehensive set of tools, coarse-grained models, and web-based services to model DNA and RNA nanodevices, as well as DNA/RNA-protein hybrid nanostructures....
The Arizona State University was awarded a $2,678,944 Project Grant from the Department of Health and Human Services Assistant Secretary for Financial Resources' Biomedical Research and Research Training program (CFDA 93.859) to develop an integrated nano-opto-fluidic system on sapphire for single-molecule protein sequencing from September 1, 2022 to August 31, 2025. The University will design an on-chip electronic system incorporating nano-opto-fluidic structures to transduce protein fingerprints into electronic signals for high-speed, low-cost readout. A key component is an all-sapphire nanopore fluidic device with improved structural stability suited for precise detection. An ultra-thin nitride-based metasurface-integrated circuit will optically interrogate fluorescently tagged amino acids passing through the nanopore without conventional microscopy. Optoelectronic and ionic current channels will be recorded and classified using deep learning to improve protein sequencing accuracy. The platform aims to achieve single-molecule sensitivity for all 20 amino acids with potential applications in proteomics, DNA-protein interactions, and disease diagnostics.