Sarcopenia, a condition that weakens muscles as we age, is rising. Prof. Joonghoon Park’s team discovered that activating PROKR1 can improve muscle mass and strength, identifying celecoxib as a potential treatment. This breakthrough offers a new approach to combat sarcopenia and obesity. Published in Journal of Cachexia, Sarcopenia and Muscle: #SNUResearch #Sarcopenia #JCSM

Prof. Martin Steinegger's team at SNU has developed Foldseek-Multimer, a rapid and highly sensitive protein complex structural aligner. This breakthrough allows for the comparison of billions of complex pairs in just 11 hours. By computing complex alignments, Foldseek-Multimer enhances the analysis of life’s molecular machinery. Read more in Nature Methods: #SNUResearch #ProteinAnalysis #NatureMethods #FoldseekMultimer

Prof. Juyong Lee’s research team at SNU, in collaboration with Yonsei University, has developed an AI-based machine learning interatomic potentials model that accurately predicts the energy and forces of both ground and transition states. This breakthrough helps in designing new molecules and materials more efficiently, overcoming the limitations of traditional, time-consuming methods. Published in Advanced Science: #SNUResearch #AdvancedScience #QuantumChemistry

Osteoarthritis is one of the most prevalent chronic conditions, impacting 7% of the global population. Prof. Jin-Hong Kim's research team at SNU has revealed that sugar modification accelerates the aging of cartilage cells, contributing to the progression of osteoarthritis. Published in Nature Communications: #SNUResearch #Osteoarthritis #Cartilage #NatureCommunications

Prof. Kyujin Cho's research team at SNU has developed soft robots inspired by the incredible mechanics of mantis shrimp and fleas, overcoming limitations of speed and force in conventional designs. The mantis shrimp punches at 90 km/h to shatter prey, while the flea jumps 200 times its body length. It's a natural "torque reversal mechanism," now applied to robotics. 🔍How does it work? “Our robot is made of soft, stretchy materials like rubber. Inside, a special part stores energy and releases it all at once—‘BAM!’—creating super-fast movements. It’s like how a bent tree branch snaps back or how a flea jumps. This robot can grab, crawl, or jump high with just a simple muscle pull!” 💬Read more: 📜Published in Science Robotics: #SNUResearch #SoftRobotics #ScienceRobotics

Prof. Jung Weon Lee’s research team at SNU has discovered new ways that liver cancer cells and natural killer (NK) cells interact. Their findings highlight changes in immune function and suggest new possibilities for developing drugs to treat liver cancer more effectively. Published in Signal Transduction and Targeted Therapy: #SNUResearch #LiverCancer #SignalTransductionandTargetedTherapy

Quantum computers excel at solving complex problems but are highly sensitive to external noise, which impacts operational accuracy. Reducing noise and mitigating its effects is essential. Professor Dohun Kim's research team from the Department of Physics and Astronomy at SNU has successfully developed two techniques to mitigate noise and its effects, which hinder high-fidelity quantum operations. Published in Nature Communications: #SNUResearch #QuantumComputing #SpinQubits #NatureCommunications

DNA, proteins, and other biomolecules in living organisms exhibit asymmetry, consisting of only one form of a mirror-image structure. This phenomenon, known as "homochirality," plays a crucial role in the evolution of life. However, its origin remains an unsolved mystery. Professor Dongwhan Lee's research team at SNU has experimentally explored the origin of homochirality through a supramolecular chemistry approach. Their study offers key chemical insights into the principles underlying the formation of asymmetry in living organisms. Published in Chemical Science: #SNUResearch #ChemicalScience #Homochirality

SNU Team Wins Top Prize at the 2024 Ethereum Data Challenge The competition was organized to explore the practical impact of Ethereum's major upgrade, EIP-4844. SNU team's research is regarded as the first academic study to conduct an in-depth analysis of EIP-4844's impact, and also provided a critical reference for the advancement of blockchain technology. Seongwan Park, a researcher in the Department of Industrial Engineering, expressed his joy, stating, "I am delighted that our academic research on blockchain could contribute, even slightly, to the advancement of real-world protocols." For more: #SNUResearch #Ethereum #2024EthereumDataChallenge

⚡🔋Hydrogen fuel cells produce electricity while emitting only pure water as a byproduct, making them a key technology in the drive for eco-friendly energy solutions. Professors Jungwon Park and Jaeyun Ryu's team at SNU, Sungin Kim as the lead author of this study, have developed an innovative hydrogen fuel cell technology. This technology quickly assesses the durability of hydrogen fuel cell catalysts and identifies the causes of their degradation. Published in the Journal of the American Chemical Society (JACS): For more:

Professor Jungwoo Lee’s team at SNU has developed a groundbreaking technology to reduce bias in AI training data, a major obstacle to AI fairness. Their mitigation approach ensures accurate predictions, even in the presence of spurious correlations. Presented at NeurIPS 2024: #SNUResearch #AIFairness #BiasMitigation #ArtificialIntelligence

The SNU CALS team, led by Prof. Jun-Hyung Tak, has developed a predictive model for the efficacy of rosemary essential oil, optimizing various pesticidal parameters and providing composition solutions. This framework aims to maximize pesticidal activity while minimizing unwanted effects. Published in Journal of Agricultural and Food Chemistry: #SNUResearch #JournalofAgriculturalandFoodChemistry #Pesticide

Professor Sang Jeong Kim's team at SNU has uncovered the mechanism of pain regulation via the cerebellum. The study shows how pain signals are controlled through nerve and glial cell interactions, opening new possibilities for pain therapies targeting cerebellar glial cells. Published in Nature Neuroscience: #SNUReseach #NatureNeuroscience #cerebellum #neurophysiology

SNU researchers, including Professors Woon Ju Song and Martin Steinegger, used AI to identify novel enzymes for immuno-oncology. Their "SeekRank" algorithm, which mines large protein databases, offers promising applications in cancer treatment, disease therapies, and the bioindustry. Published in Nucleic Acids Research: #SNUResearch #SeekRank #NucleicAcidsResearch #EnzymeDiscovery

Fatty liver disease is a growing health concern. Prof. Byung-Hoon Lee's team at SNU discovered that activating Chaperone-Mediated Autophagy (CMA) can target multiple pathways, offering new possibilities for developing effective treatments. Published in Autophagy: #SNUResearch #FattyLiver #MultiTargetTherapy #BiomedicalResearch