Do Biological Structural Guarantees Earn Their Complexity?
Fuente:
arXiv
Guardado en:
| Autor principal: | Banu, Bogdan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Pharmacology Knowledge Graphs: Do We Need Chemical Structure for Drug Repurposing?
por: Abo-Dahab, Youssef, et al.
Publicado: (2026)
por: Abo-Dahab, Youssef, et al.
Publicado: (2026)
Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins
por: Sinclair, Matthew, et al.
Publicado: (2025)
por: Sinclair, Matthew, et al.
Publicado: (2025)
BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology
por: Mitchener, Ludovico, et al.
Publicado: (2025)
por: Mitchener, Ludovico, et al.
Publicado: (2025)
Can Large Language Models Design Biological Weapons? Evaluating Moremi Bio
por: Hattoh, Gertrude, et al.
Publicado: (2025)
por: Hattoh, Gertrude, et al.
Publicado: (2025)
Literature Mining System for Nutraceutical Biosynthesis: From AI Framework to Biological Insight
por: Sun, Xinyang, et al.
Publicado: (2025)
por: Sun, Xinyang, et al.
Publicado: (2025)
A Multimodal Foundation Model of Spatial Transcriptomics and Histology for Biological Discovery and Clinical Prediction
por: Xiang, Jinxi, et al.
Publicado: (2026)
por: Xiang, Jinxi, et al.
Publicado: (2026)
CBINNS: Cancer Biology-Informed Neural Network for Unknown Parameter Estimation and Missing Physics Identification
por: Chhetri, Bishal, et al.
Publicado: (2025)
por: Chhetri, Bishal, et al.
Publicado: (2025)
Empowering Chemical Structures with Biological Insights for Scalable Phenotypic Virtual Screening
por: Lian, Xiaoqing, et al.
Publicado: (2026)
por: Lian, Xiaoqing, et al.
Publicado: (2026)
Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-terminal Coding Sequences
por: Yan, Zhanglu, et al.
Publicado: (2024)
por: Yan, Zhanglu, et al.
Publicado: (2024)
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?
por: Zheng, Kangyu, et al.
Publicado: (2024)
por: Zheng, Kangyu, et al.
Publicado: (2024)
Protein Structure Tokenization via Geometric Byte Pair Encoding
por: Sun, Michael, et al.
Publicado: (2025)
por: Sun, Michael, et al.
Publicado: (2025)
GTR-CoT: Graph Traversal as Visual Chain of Thought for Molecular Structure Recognition
por: Wang, Jingchao, et al.
Publicado: (2025)
por: Wang, Jingchao, et al.
Publicado: (2025)
CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs
por: Tang, Jianting, et al.
Publicado: (2025)
por: Tang, Jianting, et al.
Publicado: (2025)
MAT-Cell: A Multi-Agent Tree-Structured Reasoning Framework for Batch-Level Single-Cell Annotation
por: Yang, Yehui, et al.
Publicado: (2026)
por: Yang, Yehui, et al.
Publicado: (2026)
CellVerse: Do Large Language Models Really Understand Cell Biology?
por: Zhang, Fan, et al.
Publicado: (2025)
por: Zhang, Fan, et al.
Publicado: (2025)
LLMs Outperform Experts on Challenging Biology Benchmarks
por: Justen, Lennart
Publicado: (2025)
por: Justen, Lennart
Publicado: (2025)
BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models
por: Fang, Yi, et al.
Publicado: (2025)
por: Fang, Yi, et al.
Publicado: (2025)
BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning
por: Zhao, Haiteng, et al.
Publicado: (2025)
por: Zhao, Haiteng, et al.
Publicado: (2025)
Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction
por: Mojarrad, Fatemeh Nassajian, et al.
Publicado: (2024)
por: Mojarrad, Fatemeh Nassajian, et al.
Publicado: (2024)
Self-Improvement Imitation with Biologically Guided Search for Protein Design Under Oracle Budgets
por: Khanna, Ashima, et al.
Publicado: (2026)
por: Khanna, Ashima, et al.
Publicado: (2026)
Cell-cell Communication Inference and Analysis: Biological Mechanisms, Computational Approaches, and Future Opportunities
por: Cheng, Xiangzheng, et al.
Publicado: (2025)
por: Cheng, Xiangzheng, et al.
Publicado: (2025)
Sparsity is All You Need: Rethinking Biological Pathway-Informed Approaches in Deep Learning
por: Caranzano, Isabella, et al.
Publicado: (2025)
por: Caranzano, Isabella, et al.
Publicado: (2025)
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin
por: Barkan, Ella, et al.
Publicado: (2025)
por: Barkan, Ella, et al.
Publicado: (2025)
Sample-Efficient Adaptation of Drug-Response Models to Patient Tumors under Strong Biological Domain Shift
por: Cortes, Camille Jimenez, et al.
Publicado: (2026)
por: Cortes, Camille Jimenez, et al.
Publicado: (2026)
Distilling and Adapting: A Topology-Aware Framework for Zero-Shot Interaction Prediction in Multiplex Biological Networks
por: Deng, Alana, et al.
Publicado: (2026)
por: Deng, Alana, et al.
Publicado: (2026)
Toward AI-Driven Digital Organism: Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All Levels
por: Song, Le, et al.
Publicado: (2024)
por: Song, Le, et al.
Publicado: (2024)
Benchmarking Preprocessing and Integration Methods in Single-Cell Genomics
por: Anaissi, Ali, et al.
Publicado: (2026)
por: Anaissi, Ali, et al.
Publicado: (2026)
Mamba-SSM with LLM Reasoning for Feature Selection: Faithfulness-Aware Biomarker Discovery
por: Balan, Pushpa Kumar, et al.
Publicado: (2026)
por: Balan, Pushpa Kumar, et al.
Publicado: (2026)
ViroGym: Realistic Large-Scale Benchmarks for Evaluating Viral Proteins
por: Zhou, Yichen, et al.
Publicado: (2026)
por: Zhou, Yichen, et al.
Publicado: (2026)
A Universal Space of Brain Dynamics for Unveiling Cognitive Transitions and Individual Differences
por: Zheng, Ronghua, et al.
Publicado: (2026)
por: Zheng, Ronghua, et al.
Publicado: (2026)
Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach
por: Gao, Ziqi, et al.
Publicado: (2026)
por: Gao, Ziqi, et al.
Publicado: (2026)
Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence
por: Cao, Kewen, et al.
Publicado: (2026)
por: Cao, Kewen, et al.
Publicado: (2026)
Contextual Invertible World Models: A Neuro-Symbolic Agentic Framework for Colorectal Cancer Drug Response
por: Baker, Christopher, et al.
Publicado: (2026)
por: Baker, Christopher, et al.
Publicado: (2026)
ProtoCycle: Reflective Tool-Augmented Planning for Text-Guided Protein Design
por: Ge, Yutang, et al.
Publicado: (2026)
por: Ge, Yutang, et al.
Publicado: (2026)
ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway
por: Park, Jueon, et al.
Publicado: (2026)
por: Park, Jueon, et al.
Publicado: (2026)
Co-Generative De Novo Functional Protein Design
por: Chen, Xinrui, et al.
Publicado: (2026)
por: Chen, Xinrui, et al.
Publicado: (2026)
scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction
por: Yu, Chenglei, et al.
Publicado: (2026)
por: Yu, Chenglei, et al.
Publicado: (2026)
Beyond SMILES: Evaluating Agentic Systems for Drug Discovery
por: Wijaya, Edward
Publicado: (2026)
por: Wijaya, Edward
Publicado: (2026)
Point transformer for protein structural heterogeneity analysis using CryoEM
por: Chen, Muyuan, et al.
Publicado: (2026)
por: Chen, Muyuan, et al.
Publicado: (2026)
From Exposure to Internalization: Dual-Stream Calibration for In-context Clinical Reasoning
por: Zhao, Chuang, et al.
Publicado: (2026)
por: Zhao, Chuang, et al.
Publicado: (2026)
Ejemplares similares
-
Pharmacology Knowledge Graphs: Do We Need Chemical Structure for Drug Repurposing?
por: Abo-Dahab, Youssef, et al.
Publicado: (2026) -
Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins
por: Sinclair, Matthew, et al.
Publicado: (2025) -
BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology
por: Mitchener, Ludovico, et al.
Publicado: (2025) -
Can Large Language Models Design Biological Weapons? Evaluating Moremi Bio
por: Hattoh, Gertrude, et al.
Publicado: (2025) -
Literature Mining System for Nutraceutical Biosynthesis: From AI Framework to Biological Insight
por: Sun, Xinyang, et al.
Publicado: (2025)