Deep learning has revolutionized protein structure prediction, yet challenges remain in modeling difficult proteins with few homologs and multi-domain complexes. To address this, we developed DeepMSA2, a pipeline that constructs unified multiple sequence alignments through iterative genomic database searches. These MSAs significantly enhance prediction accuracy for both monomers and complexes. Bui...

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讲座内容简介：The Non-Fungible Token (NFT) market is fast-growing, but increasing competition among platforms poses significant challenges in choosing the optimal operational strategies and finding the right ways to collaborate. This paper provides a theoretical investigation into NFT market design by focusing on two key platform policies: (1) royalty payments the original NFT creators receive whe...

Modern systems rely on digital circuits, computing, and signal processors that operate on binary values, offering advantages such as precision, versatility, robustness. Yet, digital processors face major limitations as high power consumption and limited speed. Despite digital signal processing being widely adopted today, analog computing is attracting a renewed interest thanks to its ability to pe...

RNA undergoes a variety of chemical modifications after transcription, which are essential for RNA maturation and function. RNA modifications have been independently acquired and fixed during evolution to meet diverse environmental challenges. We are engaged in a project to identify novel RNA modifications from various sources, and have reported 10 modifications so far. Taking advantage of mass sp...