The global pandemic presents a critical threat to humanity, with no effective rapid-response solutions for early-stage virus dissemination. This study aims to create an AI-driven entry-blocker design system (AIEB) to fabricate inhalable virus-like nanocatchers (VLNCs) fused with entry-blocking peptides (EBPs) to counter pandemic viruses and explore therapeutic applications. This work focuses on developing angiotensin-converting enzyme 2 (ACE2)-mimic domain-fused VLNCs (ACE2@VLNCs) using AIEB and analyzing their interaction with the SARS-CoV-2 receptor binding domain (RBD), demonstrating their potential to hinder SARS-CoV-2 infection. Aerosol-based tests show ACE2@VLNCs persist over 70 min in the air and neutralize pseudoviruses within 30 min, indicating their utility in reducing airborne virus transmission. In vivo results reveal ACE2@VLNCs mitigate over 67% of SARS-CoV-2 infections. Biosafety studies confirm their safety, causing no damage to eyes, skin, lungs, or trachea, and not eliciting significant immune responses. These findings offer crucial insights into pandemic virus prevention and treatment, highlighting the potential of the ACE2@VLNCs system as a promising strategy against future pandemics.
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http://dx.doi.org/10.1002/adhm.202302927 | DOI Listing |
Neural Netw
January 2025
Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China; College of Computer and Information Science, Chongqing Normal University, Chongqing, 401331, China. Electronic address:
The production of expressive molecular representations with scarce labeled data is challenging for AI-driven drug discovery. Mainstream studies often follow a pipeline that pre-trains a specific molecular encoder and then fine-tunes it. However, the significant challenges of these methods are (1) neglecting the propagation of diverse information within molecules and (2) the absence of knowledge and chemical constraints in the pre-training strategy.
View Article and Find Full Text PDFViruses
November 2024
Department of Sciences and Technologies for Sustainable Development and One Health, Universita Campus Bio-Medico di Roma, 00128 Rome, Italy.
Wolbachia-based mosquito control strategies have gained significant attention as a sustainable approach to reduce the transmission of vector-borne diseases such as dengue, Zika, and chikungunya. These endosymbiotic bacteria can limit the ability of mosquitoes to transmit pathogens, offering a promising alternative to traditional chemical-based interventions. With the growing impact of climate change on mosquito population dynamics and disease transmission, Wolbachia interventions represent an adaptable and resilient strategy for mitigating the public health burden of vector-borne diseases.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Fundación Centro Tecnológico CTC-Scientific and Technological Park of Cantabria (PCTCAN), Street Isabel Torres Nº 1, 39011 Santander, Spain.
This study presents the design and validation of a numerical method based on an AI-driven ROM framework for implementing stress virtual sensing. By leveraging Reduced-Order Models (ROMs), the research aims to develop a virtual stress transducer capable of the real-time monitoring of mechanical stresses in mechanical components previously analyzed with high-resolution FEM simulations under a wide range of multiple load scenarios. The ROM is constructed through neural networks trained on Finite Element Method (FEM) outputs from multiple scenarios, resulting in a simplified yet highly accurate model that can be easily implemented digitally.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada.
Autonomous technologies have revolutionized transportation, military operations, and space exploration, necessitating precise localization in environments where traditional GPS-based systems are unreliable or unavailable. While widespread for outdoor localization, GPS systems face limitations in obstructed environments such as dense urban areas, forests, and indoor spaces. Moreover, GPS reliance introduces vulnerabilities to signal disruptions, which can lead to significant operational failures.
View Article and Find Full Text PDFTrends Pharmacol Sci
January 2025
School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China; Western (Chongqing) Collaborative Innovation Center for Intelligent Diagnostics and Digital Medicine, Chongqing National Biomedicine Industry Park, Chongqing 401329, China. Electronic address:
Synthetic binding proteins (SBPs) are a class of protein binders that are artificially created and do not exist naturally. Their broad applications in tackling challenges of research, diagnostics, and therapeutics have garnered significant interest. Traditional protein engineering is pivotal to the discovery of SBPs.
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