Weekly BioML Digest [February 16, 2026]

Weekly BioML Digest [February 16, 2026]

Machine Learning Ɨ Computational Biology paper compilation

Hey! It's your weekly digest of machine learning papers in CompBio and Drug Discovery.

This weeks digest contains only preprint section due to technical issues.

Feedback? Email me at biomldigest@gmail.com.

🧬 Preprints (arXiv + bioRxiv)

155 papers matched filters → 20 selected after LLM relevance + novelty ranking.

  • 🧬 Designing AI-programmable therapeutics with the EDEN family of foundation models
    Munsamy, G.; Ayres, G.; Greco, C.; Kam, K.; Minto-Cowcher, G.; St John, J.; Bohnuud, T.; Bakalar, M.; Chow, W.; Pecoraro, R.; D.T. Torres, M.; Kollasch, A.; Leung, M.; Sirelkhatim, H.; Farina, F.; McGinnis, C.; Sridhar, S.; Anderson, D.; Oteri, F.; Taghibakhshi, A.; Dona, J.; Shimko, T.; Steenbeke, C.; Papadopoulos, A.; Krolick, M.; Spoendlin, F.; Gupta, P.; Kumar, S.; Bara, A.; Wilber, J.; Ferruz, N.; Rvachoc, T.; Wan, F.; Cao, H.; Lee, H.-S.; Mehta, J.; Chaleil, R.; Pereno, V.; Potti, S.; Emerson, C.; Dew, R. T.; Yang, K. K.; Nguyen, E.; Tadimeti, N.; Banfield, J. F.; Frame, A.; Bolton, E.; — bioRxiv, 2026-02-09
    abs

  • 🧬 IntelliFold-2: Surpassing AlphaFold 3 via Architectural Refinement and Structural Consistency
    Qiao, L.; Yan, H.; Liu, G.; Guo, G.; Sun, S. — bioRxiv, 2026-02-10
    abs

  • 🧬 Physically Grounded Generative Modeling of All-Atom Biomolecular Dynamics
    Feng, B.; Zhang, J.; Zhang, X.; Zhang, M.; Barth, P.; Liu, Z.; Li, Y. — bioRxiv, 2026-02-15
    abs

  • 🧬 Disentangled multimodal evolutionary representations for cross-virus predictive modeling of antigenic change
    Zhang, Z.; Lin, Y.; Zhong, S.; Zhou, P.; Li, Y.; Yu, F. — bioRxiv, 2026-02-13
    abs

  • 🧬 A Unified Framework for Model-Informed and Agentic RNA Design
    Riley, A. T.; Vlasity, M.; Becicka, W. M.; Huang, J. Z.; Pang, S.; Wong, W. W.; Grinstaff, M. W.; Green, A. A. — bioRxiv, 2026-02-09
    abs

  • 🧬 AI-driven discovery and engineering of human endogenous nanocage proteins for mRNA delivery
    Xun, D.; Li, L.; Liu, Y.; Yang, Z.; Zou, J.; Liang, Q.; Li, K.; Zhu, Z.; Zhang, J.; Lang, L.; Liu, K.; Wang, X.; Tian, M.; Chen, G.; An, B.; Heng, P.-A.; Zhong, C. — bioRxiv, 2026-02-09
    abs

  • 🧬 Generative AI Guided Design of High-Affinity T cell Receptors
    Min, M. R.; Li, T.; Onoguchi, K.; Mori, D.; Demachi-Okamura, A.; Warrell, J.; Machart, P.; Moesch, A.; Meiser, A.; Pait, I. G.; Muraoka, D.; Matsushita, H.; Paiardi, G.; Ferraz, M.; Bendjama, K. — bioRxiv, 2026-02-12
    abs

  • 🧬 ChatDIA: A zero-shot large language model workflow for targeted analysis of data-independent acquisition mass spectrometry data
    Li, J.; Charkow, J.; Gao, M.; Li, J.; Rost, H. — bioRxiv, 2026-02-13
    abs

  • šŸ“„ Central Dogma Transformer II: An AI Microscope for Understanding Cellular Regulatory Mechanisms
    Nobuyuki Ota — arXiv, 2026-02-09
    abs

  • šŸ“„ dnaHNet: A Scalable and Hierarchical Foundation Model for Genomic Sequence Learning
    Arnav Shah, Junzhe Li, Parsa Idehpour, Adibvafa Fallahpour, Brandon Wang, Sukjun Hwang, Bo Wang, Patrick D. Hsu, Hani Goodarzi, Albert Gu — arXiv, 2026-02-11
    abs

  • 🧬 Decoding the Molecular Language of Proteins with Evolla
    Zhou, X.; Han, C.; Zhang, Y.; Du, H.; Tian, J.; Su, J.; Liu, R.; Zhuang, K.; Jiang, S.; Gitter, A.; Liu, L.; Li, H.; Wu, M.; You, S.; Yuan, Z.; Ju, F.; Zhang, H.; Zheng, W.; Dai, F.; Zhou, Y.; Tao, Y.; Wu, D.; Shao, Z.; Liu, Y.; Lu, H.; Yuan, F. — bioRxiv, 2026-02-11
    abs

  • 🧬 TM-Vec 2: Accelerated Protein Homology Detection for Structural Similarity
    Keluskar, A.; Batra, P.; Bezshapkin, V.; Morton, J. T.; Zhu, Q. — bioRxiv, 2026-02-09
    abs

  • 🧬 Genetic variation shapes human mRNA translation and disease risk
    Wang, S.; Chen, C.; Xiao, X.; Wang, Z. — bioRxiv, 2026-02-12
    abs

  • 🧬 SLECA: a single-cell atlas of systemic lupus erythematosus enabling rare cell discovery using graph transformer
    Duan, M.; Shi, Y.; Tian, H.; Wu, Q.; Wang, X.; Liu, B. — bioRxiv, 2026-02-12
    abs

  • 🧬 Augmented prediction of multi-species protein--RNA interactions using evolutionary conservation of RNA-binding proteins
    He, J.; Zhou, T.; Hu, L.-F.; Jiao, Y.; Wang, J.; Yan, S.; Jia, S.; Chen, Q.; Zhu, W.; Zhang, J.; Jia, M.; Li, Y.; Wang, X.; Wang, Y.; Yang, Y. T.; Sun, L. — bioRxiv, 2026-02-11
    abs

  • 🧬 A single-cell atlas and aging clock define biological age and risk-associated stem cell states in human hematopoiesis
    Chen, H.; Dong, P.; Xu, J.; Wang, G. — bioRxiv, 2026-02-13
    abs

  • 🧬 Metadiffusion: inference-time meta-energy biasing of biomolecular diffusion models
    Lam, H. Y. I.; Pujalte Ojeda, S.; Brezinova, M.; Hanke, J.; Ong, X. E.; Mu, Y.; Vendruscolo, M. — bioRxiv, 2026-02-11
    abs

  • šŸ“„ Protein Language Model Embeddings Improve Generalization of Implicit Transfer Operators
    Panagiotis Antoniadis, Beatrice Pavesi, Simon Olsson, Ole Winther — arXiv, 2026-02-11
    abs

  • šŸ“„ Coarse-Grained Boltzmann Generators
    Weilong Chen, Bojun Zhao, Jan Eckwert, Julija Zavadlav — arXiv, 2026-02-11
    abs

  • šŸ“„ FlashSchNet: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics
    Pingzhi Li, Hongxuan Li, Zirui Liu, Xingcheng Lin, Tianlong Chen — arXiv, 2026-02-13
    abs

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