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arXiv q-bio.BM Biomolecules

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Reposted by arXiv q-bio.BM Biomolecules

arXiv q-bio.QM Quantitative Methods @qbioqm-bot.bsky.social · 1d

Jonathan Schulte, Eric Schwegler, Ute A. Hellmich, Nina Morgner: Quantification of protein homodimer affinity using native mass spectrometry https://arxiv.org/abs/2510.08324 https://arxiv.org/pdf/2510.08324 https://arxiv.org/html/2510.08324

arXiv q-bio.BM Biomolecules @qbiobm-bot.bsky.social · 1d

[2025-10-10 Fri (UTC), no new articles found for q-bioBM Biomolecules]

Reposted by arXiv q-bio.BM Biomolecules

arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 2d

Jigang Fan, Xiaoran Jiao, Shengdong Lin, Zhanming Liang, Weian Mao, Chenchen Jing, Hao Chen, Chunhua Shen: Evolutionary Profiles for Protein Fitness Prediction https://arxiv.org/abs/2510.07286 https://arxiv.org/pdf/2510.07286 https://arxiv.org/html/2510.07286

arXiv q-bio.BM Biomolecules @qbiobm-bot.bsky.social · 2d

[2025-10-09 Thu (UTC), no new articles found for q-bioBM Biomolecules]

Reposted by arXiv q-bio.BM Biomolecules

arXiv cs.CE Computational Engineering, Finance, and Science @csce-bot.bsky.social · 3d

Jiahao Ma, Hongzong Li, Ye-Fan Hu, Jian-Dong Huang: Physicochemically Informed Dual-Conditioned Generative Model of T-Cell Receptor Variable Regions for Cellular Therapy https://arxiv.org/abs/2510.05747 https://arxiv.org/pdf/2510.05747 https://arxiv.org/html/2510.05747

arXiv q-bio.BM Biomolecules @qbiobm-bot.bsky.social · 3d

Gabriel Ath\`enes, Adam Woolfe, Thierry Mora, Aleksandra M. Walczak: Paraplume: A fast and accurate paratope prediction method provides insights into repertoire-scale binding dynamics https://arxiv.org/abs/2510.05626 https://arxiv.org/pdf/2510.05626 https://arxiv.org/html/2510.05626

arXiv q-bio.BM Biomolecules @qbiobm-bot.bsky.social · 3d

[2025-10-08 Wed (UTC), 1 new article found for q-bioBM Biomolecules]

Reposted by arXiv q-bio.BM Biomolecules

arXiv q-bio.QM Quantitative Methods @qbioqm-bot.bsky.social · 4d

Ana Milinski (IGBMC), Annick Dejaegere (IGBMC), Roland Stote (IGBMC): Impact of Force Field Polarization on Correlated Motions of Proteins https://arxiv.org/abs/2510.04897 https://arxiv.org/pdf/2510.04897 https://arxiv.org/html/2510.04897

Reposted by arXiv q-bio.BM Biomolecules

arXiv cond-mat.soft Soft Condensed Matter @condmatsoft-bot.bsky.social · 4d

Pei Liu, Tamara Christiani, Zhijie Wang, Fei Guo, Mariel Vazquez, M. Carme Calderer, Javier Arsuaga: Twist dominates bending in the liquid crystal organization of bacteriophage DNA https://arxiv.org/abs/2510.04408 https://arxiv.org/pdf/2510.04408 https://arxiv.org/html/2510.04408

Reposted by arXiv q-bio.BM Biomolecules

arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 4d

Mallikarjuna Tupakula: Thin Bridges for Drug Text Alignment: Lightweight Contrastive Learning for Target Specific Drug Retrieval https://arxiv.org/abs/2510.03309 https://arxiv.org/pdf/2510.03309 https://arxiv.org/html/2510.03309

arXiv q-bio.BM Biomolecules @qbiobm-bot.bsky.social · 4d

Yan Li, et al.: Relief of EGFR/FOS-downregulated miR-103a by loganin alleviates NF-kappaB-triggered inflammation and gut barrier disruption in colitis https://arxiv.org/abs/2510.04176 https://arxiv.org/pdf/2510.04176 https://arxiv.org/html/2510.04176

arXiv q-bio.BM Biomolecules @qbiobm-bot.bsky.social · 4d

Tao Guo, Junbo Yin, Yu Wang, Xin Gao: NS-Pep: De novo Peptide Design with Non-Standard Amino Acids https://arxiv.org/abs/2510.03326 https://arxiv.org/pdf/2510.03326 https://arxiv.org/html/2510.03326

arXiv q-bio.BM Biomolecules @qbiobm-bot.bsky.social · 4d

[2025-10-07 Tue (UTC), 2 new articles found for q-bioBM Biomolecules]

arXiv q-bio.BM Biomolecules @qbiobm-bot.bsky.social · 5d

Taehan Kim, Sangdae Nam: SAE-RNA: A Sparse Autoencoder Model for Interpreting RNA Language Model Representations https://arxiv.org/abs/2510.02734 https://arxiv.org/pdf/2510.02734 https://arxiv.org/html/2510.02734

arXiv q-bio.BM Biomolecules @qbiobm-bot.bsky.social · 5d

Cremer, Le, Ghahremanpour, S{\l}ugocka, Menezes, Clevert: FLOWR.root: A flow matching based foundation model for joint multi-purpose structure-aware 3D ligand generation and affinity prediction https://arxiv.org/abs/2510.02578 https://arxiv.org/pdf/2510.02578 https://arxiv.org/html/2510.02578

arXiv q-bio.BM Biomolecules @qbiobm-bot.bsky.social · 5d

[2025-10-06 Mon (UTC), 2 new articles found for q-bioBM Biomolecules]

Reposted by arXiv q-bio.BM Biomolecules

arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 8d

Tobias Kreiman, Yutong Bai, Fadi Atieh, Elizabeth Weaver, Eric Qu, Aditi S. Krishnapriyan: Transformers Discover Molecular Structure Without Graph Priors https://arxiv.org/abs/2510.02259 https://arxiv.org/pdf/2510.02259 https://arxiv.org/html/2510.02259

Reposted by arXiv q-bio.BM Biomolecules

arXiv quant-ph Quantum Physics @quantph-bot.bsky.social · 8d

Anders Irb\"ack, Lucas Knuthson, Sandipan Mohanty: Folding lattice proteins confined on minimal grids using a quantum-inspired encoding https://arxiv.org/abs/2510.01890 https://arxiv.org/pdf/2510.01890 https://arxiv.org/html/2510.01890

Reposted by arXiv q-bio.BM Biomolecules

arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 8d

Cao, Zhang, Xu, Zhang, Shen, Sun, Liu, Xu, Li, Ni, de la Fuente-Nunez, Fu, Choi, Heng, Wu: From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning? https://arxiv.org/abs/2510.01571 https://arxiv.org/pdf/2510.01571 https://arxiv.org/html/2510.01571

arXiv q-bio.BM Biomolecules @qbiobm-bot.bsky.social · 8d

Xin Wang, Carlos Oliver: BioBlobs: Differentiable Graph Partitioning for Protein Representation Learning https://arxiv.org/abs/2510.01632 https://arxiv.org/pdf/2510.01632 https://arxiv.org/html/2510.01632

arXiv q-bio.BM Biomolecules @qbiobm-bot.bsky.social · 8d

[2025-10-03 Fri (UTC), 1 new article found for q-bioBM Biomolecules]

Reposted by arXiv q-bio.BM Biomolecules

arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 9d

Tong Chen, Yinuo Zhang, Pranam Chatterjee: AReUReDi: Annealed Rectified Updates for Refining Discrete Flows with Multi-Objective Guidance https://arxiv.org/abs/2510.00352 https://arxiv.org/pdf/2510.00352 https://arxiv.org/html/2510.00352

Reposted by arXiv q-bio.BM Biomolecules

arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 9d

Rohit Dilip, Evan Zhang, Ayush Varshney, David Van Valen: Flow Autoencoders are Effective Protein Tokenizers https://arxiv.org/abs/2510.00351 https://arxiv.org/pdf/2510.00351 https://arxiv.org/html/2510.00351

Reposted by arXiv q-bio.BM Biomolecules

arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 9d

Ahmed A. Elhag, Arun Raja, Alex Morehead, Samuel M. Blau, Garrett M. Morris, Michael M. Bronstein: Learning Inter-Atomic Potentials without Explicit Equivariance https://arxiv.org/abs/2510.00027 https://arxiv.org/pdf/2510.00027 https://arxiv.org/html/2510.00027

arXiv q-bio.BM Biomolecules @qbiobm-bot.bsky.social · 9d

Daria Gusew, Carl G. Henning Hansen, Kresten Lindorff-Larsen: Integrative modelling of biomolecular dynamics https://arxiv.org/abs/2510.01108 https://arxiv.org/pdf/2510.01108 https://arxiv.org/html/2510.01108