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Results for "molecular biology"

RNA: Don’t kill the messenger

KAUST ·

KAUST researchers have identified a protein complex of HuR and YB1 that stabilizes messenger RNA during muscle-fiber formation. The complex protects RNA as it carries muscle-forming code through the cell. Further research aims to elucidate the individual roles of each protein in the stabilization process. Why it matters: Understanding this RNA-stabilizing complex could lead to new therapies for muscle recovery and the prevention of muscle-related pathologies.

Self-Supervised Learning AI and AI for Molecular Biology

MBZUAI ·

Xiao Wang from Purdue University presented research on Adversarial Contrastive Learning (AdCo) and Cooperative-adversarial Contrastive Learning (CaCo) for improved self-supervised learning. He also discussed CryoREAD, a framework for building DNA/RNA structures from cryo-EM maps, and future work in deep learning for drug discovery. Wang's algorithms have impacted molecular biology, leading to new structure discoveries published in journals like Cell and Nature Microbiology. Why it matters: The research advances AI techniques for crucial tasks in molecular biology and drug discovery, with potential applications for institutions in the GCC region focused on healthcare and biotechnology.

DNA replication under the microscope

KAUST ·

KAUST researchers used cryogenic electron microscopy (cryo-EM) to study the 3D structure of protein complexes involved in DNA replication and repair. They investigated the interaction between the Y-family TLS polymerase Pol K and mono-ubiquitylated PCNA. The study revealed that DNA binding is required for Pol K to form a rigid, active complex with PCNA. Why it matters: Understanding these structural interactions may provide insights into cancer development and drug resistance mechanisms.

Using molecular microbiology to fight water scarcity and feed the world

KAUST ·

KAUST researchers have discovered that combining ultraviolet sunlight with phages increases the susceptibility of antibiotic-resistant bacteria to sunlight disinfection. This breakthrough addresses the growing threat of antimicrobial resistance, as the rate of discovering new antibiotics has slowed. The team demonstrated this method's effectiveness against a pathogenic E. coli strain found in Saudi wastewater. Why it matters: This research offers a promising alternative to traditional antibiotics, particularly relevant in regions like Singapore and the GCC where treated wastewater is a crucial water supply source.

KAUST scientists see the first steps of life in DNA unwinding

KAUST ·

KAUST researchers have captured the initial unwinding of DNA using cryo-electron microscopy and deep learning. The study details 15 atomic states describing how the Simian Virus 40 Large Tumor Antigen helicase unwinds DNA, revealing the coordinated roles of DNA, helicases, and ATP. The research elucidates the fundamental mechanisms of DNA replication, a cornerstone of growth and reproduction. Why it matters: This detailed understanding of helicase function could lead to advances in nanotechnology and our understanding of genetic processes.

Women in biology

KAUST ·

A panel discussion on women in biology was held as part of the 2016 Fall Enrichment Program at KAUST. Jasmeen Merzaban, Ashwag Abdullah Albukhari, Bettina Berger and Peiying Hong were the speakers. The event featured successful female scientists sharing their experiences. Why it matters: Showcases KAUST's commitment to promoting women in STEM fields and providing a platform for their voices.

Generative Artificial Intelligence in RNA Biology

MBZUAI ·

Researchers at the Rosalind Franklin Institute are using generative AI, including GANs, to augment limited biological datasets, specifically mirtron data from mirtronDB. The synthetic data created mimics real-world samples, facilitating more comprehensive training of machine learning models, leading to improved mirtron identification tools. They also plan to apply Large Language Models (LLMs) to predict unknown patterns in sequence and structure biology problems. Why it matters: This research explores AI techniques to tackle data scarcity in biological research, potentially accelerating discoveries in noncoding RNA and transposable elements.

Assembling the atomic pieces to understand the big puzzle

KAUST ·

KAUST Discovery Associate Professor Stefan Arold has established KAUST's first structural biology lab specializing in determining the atomic 3D structure of proteins and other biological macromolecules. The lab setup involved challenges such as assembling instruments and continuing research, but the Bioscience Core Lab at KAUST and support from colleagues aided in the process. Arold's research focuses on understanding protein function through an integrated 'hybrid' approach to analyze 3D structure and function of proteins. Why it matters: This new lab enhances KAUST's capabilities in molecular biophysics and structural biology, enabling advanced research into the functions of proteins and their implications for health and disease.