Machine Learning in Computational Biology: Daily Digest

29.10.2025: Atom Placement,Foundation Model, Protein Optimization,Activity Optimization, Sequence Sampling,Protein Design, Structure Fusion,Molecular Representation, Test-Time Tuning,Molecular Generation

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0:00 Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning (https://arxiv.org/pdf/2510.23640.pdf)
4:28 Test-Time Tuned Language Models Enable End-to-end De Novo Molecular Structure Generation from MS/MS Spectra (https://arxiv.org/pdf/2510.23746.pdf)
8:26 Relaxed Sequence Sampling for Diverse Protein Design (https://arxiv.org/pdf/2510.23786.pdf)
13:05 Low-N Protein Activity Optimization with FolDE (https://arxiv.org/pdf/2510.24053.pdf)
17:40 Pearl: A Foundation Model for Placing Every Atom in the Right Location (https://arxiv.org/pdf/2510.24670.pdf)
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