To overcome this limitation, the research team developed an intelligent enzyme mining strategy named PM2S (Protein Motif to Search), based on the conserved coenzyme-binding motifs of enzymes. This strategy integrates three modules: motif search, deep learning-driven iterative retrieval, and result calibration. From 150,000 gene sequences, 95 candidate natural NADH-dependent iminoreductases were successfully identified. Experimental results demonstrated that these candidate enzymes prefer NADH as

The efficient discovery and effective screening of drug molecules are widely recognized as core challenges in drug research and development. We have innovatively developed intelligent molecular design methods targeting different scales, including small chemical molecules, nucleic acid molecules, and polymer macromolecules. By integrating the AI4Science technology paradigm, we have established an integrated technological system encompassing molecular design—property evaluation—intelligent screeni

Secure Perception and Cooperative Control of Autonomous Swarms in Adversarial Scenarios（Yangwen）Focusing on secure autonomous perception, reliable cooperative control, and trustworthy intelligent decision-making in adversarial swarm scenarios for future autonomous cooperative operations, this research has yielded several pioneering contributions:lFormulated an unsupervised learning algorithm driven by estimation performance feedback, resolving the critical challenge of attack detection under unk

Energy serves as the driving force and infrastructure for urban operations, making the efficient production and service of integrated energy crucial for urban development and safety. Digital transformation has brought new opportunities for the development of smart city energy systems. However, significant technical challenges remain in terms of energy information accuracy and application synergy. Addressing the national dual carbon strategic goals and the development needs of the urban energy in

Software RD efficiency serves as the fundamental cornerstone of enterprise digital transformation and technological product innovation. Accurate assessment and intelligent governance of RD efficiency are crucial for ensuring software quality, improving team collaboration efficiency, and building a solid foundation for technological innovation. The deep application of artificial intelligence and large language model technologies has brought new opportunities for enhancing RD efficiency. However,

To address common challenges faced by internet hospitals—such as high patient volumes in key specialties including liver surgery, cardiology, and gastroenterology, along with the heavy burden of manual responses from physicians—the Laboratory of Natural Language Processing and Big Data Mining at East China University of Science and Technology, in collaboration with HealthCloud (Shanghai) Digital Technology Co., Ltd. and Renji Hospital, Shanghai Jiao Tong University School of Medicine, has develo