Machine Learning in Computational Biology: Daily Digest

28.10.2025: Graph Featurisation,Ensemble Models, Multi-Modal,Protein Representation, Anisotropic Noise,Force Field Modeling, Protein Embeddings,Database, Quantum Phase,Classification, Knowledge Graphs,LLMs, Algebra Prediction,Binding Affinities

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0:00 A Multimodal Human Protein Embeddings Database: DeepDrug Protein Embeddings Bank (DPEB) (https://arxiv.org/pdf/2510.22008.pdf)
4:47 Learning 3D Anisotropic Noise Distributions Improves Molecular Force Field Modeling (https://arxiv.org/pdf/2510.22123.pdf)
9:44 CAP: Commutative Algebra Prediction of Protein-Nucleic Acid Binding Affinities (https://arxiv.org/pdf/2510.22130.pdf)
14:20 ATOM: AdapTive and OptiMized dynamic temporal knowledge graph construction using LLMs (https://arxiv.org/pdf/2510.22590.pdf)
19:21 A Novel Framework for Multi-Modal Protein Representation Learning (https://arxiv.org/pdf/2510.23273.pdf)
23:42 Improving Predictions of Molecular Properties with Graph Featurisation and Heterogeneous Ensemble Models (https://arxiv.org/pdf/2510.23428.pdf)
28:14 Quantum Phase Classification of Rydberg Atom Systems Using Resource-Efficient Variational Quantum Circuits and Classical Shadows (https://arxiv.org/pdf/2510.23489.pdf)
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