Protein

Momentum

8 papers in the last four weeks, up 167% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 43

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  1. StabilityArc: Decoding Protein Sequence Embeddings into Generalizable Stability Landscapes

    Sep 30, 2026Aaron L. Feller, Andrew D. Ellington, Claus O. WilkeProteinLattice Mutation

  2. Analysis of Quantized and Efficiently Adapted Protein Language Models

    Sep 30, 2026Ilan Yaniv Zeisler, Sebastian Clancy, Pouriya Bayat +8Large Language Model QuantizationLanguage Modeling

  3. Structure-aware Reinforcement Learning for Protein Directed Evolution

    Sep 30, 2026Zikun Nie, Suyuan Zhao, Yizhen Luo +2ProteinEvolutionary Optimization Methods

  4. Does Learning Protein Folding Generalize to Broader Reasoning?

    Sep 30, 2026Yong Liu, Zhanpeng Shi, Yizhou Dang +4Reasoning SkillsProtein

  5. Drug-Target Interaction Prediction via Hierarchical Sequential Cross-Attention over Chemical and Protein Language Models

    Sep 28, 2026Khadidja Henni, Hamza Abdelali, Abdelkrim Aries +4ProteinCross-Attention

  6. SPINET: Sheaf Protein Inverse Folding Network

    Sep 28, 2026Jens Lundsgaard, Colin Mikulski, Zhixuan Yan +1Protein Structure PredictionProtein

  7. PFArena: Benchmarking Language Models for Protein Modification

    Sep 24, 2026Yawen Ouyang, Xinbo Zhang, Ziyuan Ma +15ProteinQuality-Driven Selective Mutation

  8. MT-ProtBERT: Multi-task Learning ProtBERT for Intrinsically Disordered Proteins Classification with Scarce Data

    Sep 21, 2026Jian Sun, Kingshuk Ghosh, Lilianna Houston +1Protein Structure PredictionProtein

  9. Hyper-Fold: Exploring the Expressive Limit of Sequence-Geometry Learning for Proteins via Hypergraph Modeling

    Aug 29, 2026Yifan Feng, Guanjie Cheng, Shihui Ying +2ProteinGeometric Machine Learning

  10. DegradeQuery: Counterfactual Tuple Pretraining for Context-Aware PROTAC Degradation Prediction

    Aug 11, 2026Dong Xu, Zhangfan Yang, Jiantao Wu +3ProteinDegradation

  11. Two-Stage Fine-Tuning for Protein Sequence Generation with Targeted Amino-Acid Composition

    Jun 26, 2026Violeta Basten-Romero, Rubén Muñoz-Tafalla, Anna María Díaz-Rovira +3Protein DesignProtein Structure Prediction

  12. PairSAE: Mechanistic Interpretability from Pair Representations in Protein Co-Folding

    Jun 25, 2026Giosue Migliorini, Aristofanis Rontogiannis, Grigori Guitchounts +3Protein Structure PredictionProtein

  13. JEDEL: Zero-Shot DNA-Encoded Library Design for Early-Stage Drug Discovery

    Jun 21, 2026Zygimantas Jocys, Zhanxing Zhu, Henriette M. G. Willems +1Drug DesignDrug Discovery

  14. Enhancing Protein Representation Learning via Manifold Restore Mixing

    Jun 21, 2026Yizhou Dang, Chuang Zhao, Lianbo Ma +3Protein Structure PredictionProtein

  15. Emyx: Fast and efficient all-atom protein generation

    Jun 12, 2026Nicholas J. Williams, Ward Haddadin, Matteo P. Ferla +6Protein DesignProtein

  16. Protein Representation Learning with Secondary-Structure and Energy-Filtered Hydrogen-Bond Graphs

    Jun 12, 2026Mohamed Mouhajir, Limei Wang, El Houcine Bergou +3Protein Structure PredictionProtein

  17. Learning Topological Representations of Protein Structure and Dynamics

    Jun 2, 2026Dominik Geng, Florian Graf, Martin Uray +1Molecular DynamicsMolecular Property Prediction

  18. Site4Drug: Predicting Drug-Binding Target Sites with an AI Agent

    Jun 1, 2026Taehan Kim, Sarrah Rose Mikhail Leung, Bharat Mekala +1ProteinMultimodal Search Agents

  19. Enhancing Protein-Protein Interaction Prediction with Hierarchical Motif-based Multimodal Protein Embedding

    May 30, 2026Zaifei Yang, Samuel Ping-Man Choi, James KwokProteinUnimodal Encoders

  20. ProtStructQA: A Denotation Threshold in Protein Structural Reasoning

    May 30, 2026Aravind Mandiga, Guoming Li, Jin Lu +3Protein Structure PredictionProtein

  21. AMix-2: Establishing Protein as a Native Modality in Large Language Models

    May 29, 2026Keyue Qiu, Yixin Wu, Lihao Wang +19ProteinLanguage Modeling

  22. Traditional machine learning vs. deep learning from dynamic graph representations of proteins' 3D folds in the task of protein structure classification

    May 28, 2026Aydin Wells, Francis A. Gatsi, Aaron Striegel +1Protein Structure PredictionProtein

  23. SurfDesign: Effective Protein Design on Molecular Surfaces

    May 25, 2026Fang Wu, Shuting Jin, Xiangru Tang +5Protein DesignProtein

  24. Atom-level Protein Representation Learning Improves Protein Structure Prediction

    May 21, 2026Taewon Kim, Hyosoon Jang, Hyunjin Seo +6Protein Structure PredictionProtein

  25. Protein Fold Classification at Scale: Benchmarking and Pretraining

    May 18, 2026Dexiong Chen, Andrei Manolache, Mathias Niepert +1Protein Structure PredictionProtein

  26. Ligand-Conditioned Discrete Diffusion for Protein Sequence-Structure Co-Design

    May 15, 2026Chen Wei, Fanding Xu, Minghao Sun +5Protein DesignProtein

  27. ENSEMBITS: an alphabet of protein conformational ensembles

    May 13, 2026Kaiwen Shi, Carlos OliverConformational EnsemblesProtein

  28. Decomposing the Generalization Gap in PROTAC Activity Prediction: Variance Attribution and the Inter-Laboratory Ceiling

    May 12, 2026Thor Klamt, Wolfgang Nejdl, Ming TangProteinReceiver Operating Characteristic Area Under The Curve

  29. Learning Protein Structure-Function Relationships through Knowledge-guided Representation Decomposition

    May 12, 2026Mingqing Wang, Zhiwei Nie, Athanasios V. Vasilakos +2Protein Structure PredictionProtein

  30. Beyond Manual Curation: Augmenting Targeted Protein Degradation Databases via Agentic Literature Extraction Workflows

    May 11, 2026Yaochen Rao, Farzaneh Jalalypour, N. M. Anoop Krishnan +1ProteinData-Curation

  31. Deep Learning for Protein Complex Prediction and Design

    May 11, 2026Ziwei XieProtein Structure PredictionProtein

  32. SPADE: Faster Drug Discovery by Learning from Sparse Data

    May 6, 2026Rahul Nandakumar, Ben Fauber, Deepayan ChakrabartiDrug DiscoveryProtein

  33. PUFFIN: Protein Unit Discovery with Functional Supervision

    Apr 16, 2026Gökçe Uludoğan, Buse Giledereli, Elif Ozkirimli +1ProteinGraph Neural Networks

  34. Sampling at intermediate temperatures is optimal for training large language models in protein structure prediction

    Mar 31, 2026L. Ghiringhelli, A. Zambon, G. TianaProtein Structure PredictionTransformer Architectures

  35. Q-BIOLAT: Binary Latent Protein Fitness Landscapes for QUBO-Based Optimization

    Mar 29, 2026Truong-Son HyQuadratic Unconstrained Binary OptimizationProtein

  36. ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning

    Jun 9, 2025Ziwen Wang, Jiajun Fan, Ruihan Guo +3Protein DesignProtein

  37. ProtScape: A molecular structure and energy-aware representation for protein conformation generation

    Oct 27, 2024Siddharth Viswanath, Xingzhi Sun, Lucas Lee +9Conformational EnsemblesProtein