:: Library Catalog

Salvato in:

Dettagli Bibliografici
Autori principali:	Song, Xiaozhuang, Pan, Xuanhao, Zhao, Xinjian, Ye, Hangting, Zhang, Shufei, Tang, Jian, Yu, Tianshu
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Quantitative Methods
Accesso online:	https://arxiv.org/abs/2509.20988
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search
di: Yu, Kevin, et al.
Pubblicazione: (2024)

Empowering Chemical Structures with Biological Insights for Scalable Phenotypic Virtual Screening
di: Lian, Xiaoqing, et al.
Pubblicazione: (2026)

ProtoCycle: Reflective Tool-Augmented Planning for Text-Guided Protein Design
di: Ge, Yutang, et al.
Pubblicazione: (2026)

Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses
di: Feng, Tianshu, et al.
Pubblicazione: (2024)

Towards Less Biased Data-driven Scoring with Deep Learning-Based End-to-end Database Search in Tandem Mass Spectrometry
di: Yu, Yonghan, et al.
Pubblicazione: (2024)

Empowering LLMs for Structure-Based Drug Design via Exploration-Augmented Latent Inference
di: Hu, Xuanning, et al.
Pubblicazione: (2026)

A distribution-guided Mapper algorithm
di: Tao, Yuyang, et al.
Pubblicazione: (2024)

Training Compute-Optimal Protein Language Models
di: Cheng, Xingyi, et al.
Pubblicazione: (2024)

CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs
di: Tang, Jianting, et al.
Pubblicazione: (2025)

An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery
di: Wysocki, Oskar, et al.
Pubblicazione: (2024)

scDrugMap: Benchmarking Large Foundation Models for Drug Response Prediction
di: Wang, Qing, et al.
Pubblicazione: (2025)

GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console
di: Nath, Anindita, et al.
Pubblicazione: (2024)

G2T-LLM: Graph-to-Tree Text Encoding for Molecule Generation with Fine-Tuned Large Language Models
di: Yu, Zhaoning, et al.
Pubblicazione: (2024)

Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-terminal Coding Sequences
di: Yan, Zhanglu, et al.
Pubblicazione: (2024)

Generative Model for Synthesizing Ionizable Lipids: A Monte Carlo Tree Search Approach
di: Zhao, Jingyi, et al.
Pubblicazione: (2024)

BDPM: A Machine Learning-Based Feature Extractor for Parkinson's Disease Classification via Gut Microbiota Analysis
di: Yu, Bo, et al.
Pubblicazione: (2025)

F$^3$low: Frame-to-Frame Coarse-grained Molecular Dynamics with SE(3) Guided Flow Matching
di: Li, Shaoning, et al.
Pubblicazione: (2024)

Mamba-SSM with LLM Reasoning for Feature Selection: Faithfulness-Aware Biomarker Discovery
di: Balan, Pushpa Kumar, et al.
Pubblicazione: (2026)

BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology
di: Mitchener, Ludovico, et al.
Pubblicazione: (2025)

Beyond Protein Language Models: An Agentic LLM Framework for Mechanistic Enzyme Design
di: Jacob, Bruno, et al.
Pubblicazione: (2025)

ProtTeX-CC: Activating In-Context Learning in Protein LLM via Two-Stage Instruction Compression
di: Fan, Chuanliu, et al.
Pubblicazione: (2025)

Improving AlphaFlow for Efficient Protein Ensembles Generation
di: Li, Shaoning, et al.
Pubblicazione: (2024)

HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling
di: Shao, Zihang, et al.
Pubblicazione: (2025)

Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence
di: Cao, Kewen, et al.
Pubblicazione: (2026)

From Exposure to Internalization: Dual-Stream Calibration for In-context Clinical Reasoning
di: Zhao, Chuang, et al.
Pubblicazione: (2026)

TriAgent: Automated Biomarker Discovery with Deep Research Grounding for Triage in Acute Care by LLM-Based Multi-Agent Collaboration
di: Delikoyun, Kerem, et al.
Pubblicazione: (2025)

DCFold: Efficient Protein Structure Generation with Single Forward Pass
di: Zhang, Zhe, et al.
Pubblicazione: (2026)

Hashing for Protein Structure Similarity Search
di: Han, Jin, et al.
Pubblicazione: (2024)

MAT-Cell: A Multi-Agent Tree-Structured Reasoning Framework for Batch-Level Single-Cell Annotation
di: Yang, Yehui, et al.
Pubblicazione: (2026)

Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement
di: Wei, Yuhan, et al.
Pubblicazione: (2026)

fastbmRAG: A Fast Graph-Based RAG Framework for Efficient Processing of Large-Scale Biomedical Literature
di: Meng, Guofeng, et al.
Pubblicazione: (2025)

HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design
di: Wang, Li, et al.
Pubblicazione: (2024)

Quantifying Cross-Modal Interactions in Multimodal Glioma Survival Prediction via InterSHAP: Evidence for Additive Signal Integration
di: Swift, Iain, et al.
Pubblicazione: (2026)

Automating Exploratory Proteomics Research via Language Models
di: Ding, Ning, et al.
Pubblicazione: (2024)

Automating Exploratory Multiomics Research via Language Models
di: Qu, Shang, et al.
Pubblicazione: (2025)

Protein Structure Tokenization via Geometric Byte Pair Encoding
di: Sun, Michael, et al.
Pubblicazione: (2025)

PharmacoMatch: Efficient 3D Pharmacophore Screening via Neural Subgraph Matching
di: Rose, Daniel, et al.
Pubblicazione: (2024)

Predicting T-Cell Receptor Specificity
di: Tu, Tengyao, et al.
Pubblicazione: (2024)

Resolving the bias-precision paradox with stochastic causal representation learning for personalized medicine
di: Zhang, Peisong, et al.
Pubblicazione: (2026)

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation
di: Liu, Xinyi, et al.
Pubblicazione: (2025)