:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Murtada, Mhd Hussein, Brotzakis, Z. Faidon, Vendruscolo, Michele
Formato:	Preprint
Publicado:	2025
Materias:	Biomolecules Computation and Language Machine Learning Computational Physics
Acceso en línea:	https://arxiv.org/abs/2508.03709
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text
por: Liu, Pengfei, et al.
Publicado: (2023)

Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction
por: He, Yinhan, et al.
Publicado: (2024)

DrugLLM: Open Large Language Model for Few-shot Molecule Generation
por: Liu, Xianggen, et al.
Publicado: (2024)

How Creative Are Large Language Models in Generating Molecules?
por: Tao, Wen, et al.
Publicado: (2026)

Large Language Model Agent for Modular Task Execution in Drug Discovery
por: Ock, Janghoon, et al.
Publicado: (2025)

The Role of Model Architecture and Scale in Predicting Molecular Properties: Insights from Fine-Tuning RoBERTa, BART, and LLaMA
por: Youngmin, Lee, et al.
Publicado: (2024)

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization
por: Liu, Xuefeng, et al.
Publicado: (2025)

3M-Diffusion: Latent Multi-Modal Diffusion for Language-Guided Molecular Structure Generation
por: Zhu, Huaisheng, et al.
Publicado: (2024)

ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models
por: Huang, Yuqing, et al.
Publicado: (2024)

TwinBooster: Synergising Large Language Models with Barlow Twins and Gradient Boosting for Enhanced Molecular Property Prediction
por: Schuh, Maximilian G., et al.
Publicado: (2024)

Can Large Language Models Understand Molecules?
por: Sadeghi, Shaghayegh, et al.
Publicado: (2024)

Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models
por: Tan, Yang, et al.
Publicado: (2024)

MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
por: Guo, Haoqiang, et al.
Publicado: (2024)

ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training
por: Zhuo, Le, et al.
Publicado: (2024)

Large Language Models for Controllable Multi-property Multi-objective Molecule Optimization
por: Dey, Vishal, et al.
Publicado: (2025)

MolLangBench: A Comprehensive Benchmark for Language-Prompted Molecular Structure Recognition, Editing, and Generation
por: Cai, Feiyang, et al.
Publicado: (2025)

Language Interaction Network for Clinical Trial Approval Estimation
por: Gao, Chufan, et al.
Publicado: (2024)

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization
por: Liu, Xuefeng, et al.
Publicado: (2025)

Predicting ATP binding sites in protein sequences using Deep Learning and Natural Language Processing
por: V, Shreyas, et al.
Publicado: (2024)

BadGraph: A Backdoor Attack Against Latent Diffusion Model for Text-Guided Graph Generation
por: Ye, Liang, et al.
Publicado: (2025)

Language models in molecular discovery
por: Janakarajan, Nikita, et al.
Publicado: (2023)

Hessian Matching for Machine-Learned Coarse-Grained Molecular Dynamics
por: Murdeshwar, Sanya, et al.
Publicado: (2026)

Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design
por: Srinivas, Sakhinana Sagar, et al.
Publicado: (2024)

Generative Model for Small Molecules with Latent Space RL Fine-Tuning to Protein Targets
por: Sob, Ulrich A. Mbou, et al.
Publicado: (2024)

Protein Language Models Diverge from Natural Language: Comparative Analysis and Improved Inference
por: Hart, Anna, et al.
Publicado: (2026)

Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule
por: Xiao, Yi, et al.
Publicado: (2024)

Protein Large Language Models: A Comprehensive Survey
por: Xiao, Yijia, et al.
Publicado: (2025)

Task-Specific Sparse Feature Masks for Molecular Toxicity Prediction with Chemical Language Models
por: Lee, Kwun Sy, et al.
Publicado: (2025)

Chem42: a Family of chemical Language Models for Target-aware Ligand Generation
por: Singh, Aahan, et al.
Publicado: (2025)

Specialising and Analysing Instruction-Tuned and Byte-Level Language Models for Organic Reaction Prediction
por: Pang, Jiayun, et al.
Publicado: (2024)

K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction
por: Abdullahi, Tassallah, et al.
Publicado: (2025)

Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection
por: Li, Song, et al.
Publicado: (2024)

Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information
por: Park, Gilchan, et al.
Publicado: (2024)

Prot42: a Novel Family of Protein Language Models for Target-aware Protein Binder Generation
por: Sayeed, Mohammad Amaan, et al.
Publicado: (2025)

A Transformer Based Generative Chemical Language AI Model for Structural Elucidation of Organic Compounds
por: Tan, Xiaofeng
Publicado: (2024)

BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations
por: Pei, Qizhi, et al.
Publicado: (2023)

When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings
por: Wasi, Azmine Toushik, et al.
Publicado: (2024)

A Novel 4-D Dataset Paradigm for Studying Complete Ligand-Protein Dissociation Dynamics
por: Li, Maodong, et al.
Publicado: (2025)

Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
por: Liu, Gang, et al.
Publicado: (2024)

Generative Replica-Exchange: A Flow-based Framework for Accelerating Replica Exchange Simulations
por: Huang, Shengjie, et al.
Publicado: (2026)