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Shining a light on the SARS-CoV-2 virus

KAUST ·

The KAUST Pathogen Genomics Laboratory (PGL), led by Professor Arnab Pain, is using DNA and RNA sequencing to study the SARS-CoV-2 virus. The lab is part of KAUST's Rapid Research Response Team (R3T), supporting Saudi healthcare stakeholders in combating COVID-19. Pain and his Ph.D. student Sharif Hala are partnering with the Saudi-CDC and Ministry of Health hospitals to sequence Saudi SARS-CoV-2 samples. Why it matters: This effort provides crucial data for understanding and monitoring the virus's spread and evolution within the Kingdom, informing public health strategies.

Hacking the SARS-CoV-2 genome

KAUST ·

KAUST researchers are analyzing the SARS-CoV-2 genome to identify potential targets for treatment and vaccine development. They are using the KAUST Metagenome Analysis Platform (KMAP) and the university's supercomputer to compare and analyze genomic data. The research focuses on identifying key genes for detection and treatment of COVID-19. Why it matters: This research contributes to the global effort to combat the pandemic and highlights KAUST's capabilities in genomic data analysis and computational bioscience.

KAUST partner SaudiVax advances treatment for COVID-19

KAUST ·

SaudiVax, located in the KAUST Research & Technology Park, is collaborating with the University of Pittsburgh and Merck France to develop a COVID-19 antibody injection. The antibody both protects against potential infection and neutralizes the virus in those already infected. SaudiVax is utilizing KAUST expertise and has contracted with Merck France for manufacturing since suitable facilities are not yet available in Saudi Arabia. Why it matters: This partnership highlights the growing biopharmaceutical capabilities in Saudi Arabia and the potential for KAUST to serve as a hub for medical innovation in the region.

Using AI to understand the pathogenesis of COVID-19

KAUST ·

A KAUST Rapid Research Response Team (R3T) is collaborating with healthcare stakeholders to combat COVID-19. Xin Gao and his Structural and Functional Bioinformatics (SFB) Group are developing an AI-based diagnosis pipeline from CT scans of COVID-19 patients. The AI pipeline aims to address the high false negative rates associated with nucleic acid detection. Why it matters: This research could improve COVID-19 diagnostics and potentially inform understanding of viral pathogenesis.

Detecting and tracking the coronavirus is hard, but not impossible

KAUST ·

KAUST's Rapid Research Response Team (R3T), including Professor Samir Hamdan, is working to understand and counteract the spread of COVID-19. The team assembled a complete homemade, one-step RT-PCR test, comparable to commercial kits, with a patent-free manufacturing recipe. KAUST R3T is also researching faster, more accurate point-of-care tests, including a CRISPR-based molecular test. Why it matters: This research provides accessible testing solutions and contributes to more effective and rapid detection methods for combating viral spread in the region and globally.

Shaheen II open to serve COVID-19 research around the Kingdom

KAUST ·

KAUST is offering access to its Shaheen II supercomputer and other computing resources for COVID-19 research projects by researchers across the Kingdom. Researchers can apply for computing allocations by submitting a proposal to [email protected]. The resources available include Shaheen II, the Ibex cluster, and support from KSL staff scientists. Why it matters: This initiative will accelerate COVID-19 research in Saudi Arabia by providing access to advanced computing infrastructure and expertise.

Portable COVID-19 test revolutionizes detection

KAUST ·

A KAUST-led team developed NIRVANA, a portable, briefcase-sized device for rapid detection and sequencing of SARS-CoV-2, influenza, and other viruses. The test utilizes isothermal recombinase amplification (RPA) and was validated on clinical samples and wastewater. NIRVANA can differentiate SARS-CoV-2 strains and doesn't require expensive infrastructure. Why it matters: This innovation enables rapid, decentralized virus detection and surveillance, crucial for pandemic response and monitoring new variants across the region.

KAUST scientists develop virus mutation tracker

KAUST ·

KAUST researchers developed CovMT, a COVID-19 mutation tracking system for authorities and scientists to detect variants. CovMT tracks mutation fingerprints using daily data from the GISAID database of over 1.5 million viral genomes. The system identifies mutation hot spots, enabling public health authorities to stay ahead of new variants. Why it matters: This system provides a tool for rapid variant detection and informed public health decision-making in the region and globally.