Cover Image

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Yihan, Liu, Gang, Inae, Eric, Jiang, Meng
Format:	Preprint
Published:	2025
Subjects:	Biomolecules Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling
by: Pei, Qizhi, et al.
Published: (2024)

Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-directed Molecular Generation
by: Park, Jinyeong, et al.
Published: (2024)

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization
by: Lee, Chanhui, et al.
Published: (2025)

ControlMol: Adding Substructure Control To Molecule Diffusion Models
by: Zhengyang, Qi, et al.
Published: (2024)

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

InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery
by: Cao, He, et al.
Published: (2023)

MolCap-Arena: A Comprehensive Captioning Benchmark on Language-Enhanced Molecular Property Prediction
by: Edwards, Carl, et al.
Published: (2024)

Conditioned Generative Modeling of Molecular Glues: A Realistic AI Approach for Synthesizable Drug-like Molecules
by: Islam, Naeyma N., et al.
Published: (2026)

KnowMol: Advancing Molecular Large Language Models with Multi-Level Chemical Knowledge
by: Yang, Zaifei, et al.
Published: (2025)

Apo2Mol: 3D Molecule Generation via Dynamic Pocket-Aware Diffusion Models
by: Zheng, Xinzhe, et al.
Published: (2025)

Text-guided Diffusion Model for 3D Molecule Generation
by: Luo, Yanchen, et al.
Published: (2024)

A Large-Scale Dataset for Molecular Structure-Language Description via a Rule-Regularized Method
by: Cai, Feiyang, et al.
Published: (2026)

Exploring Optimal Transport-Based Multi-Grained Alignments for Text-Molecule Retrieval
by: Min, Zijun, et al.
Published: (2024)

Open-Source Molecular Processing Pipeline for Generating Molecules
by: Shreyas, V, et al.
Published: (2024)

End-to-End Reverse Screening Identifies Protein Targets of Small Molecules Using HelixFold3
by: Xu, Shengjie, et al.
Published: (2026)

ControllableGPT: A Ground-Up Designed Controllable GPT for Molecule Optimization
by: Liu, Xuefeng, et al.
Published: (2025)

t-SMILES: A Scalable Fragment-based Molecular Representation Framework for De Novo Molecule Generation
by: Wu, Juan-Ni, et al.
Published: (2023)

Bolek: A Multimodal Language Model for Molecular Reasoning
by: Grabowski, Frederic, et al.
Published: (2026)

Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks
by: Qiu, Keyue, et al.
Published: (2024)

Contextual Molecule Representation Learning from Chemical Reaction Knowledge
by: Tang, Han, et al.
Published: (2024)

AmpLyze: A Deep Learning Model for Predicting the Hemolytic Concentration
by: Qiu, Peng, et al.
Published: (2025)

Dynamic PDB: A New Dataset and a SE(3) Model Extension by Integrating Dynamic Behaviors and Physical Properties in Protein Structures
by: Liu, Ce, et al.
Published: (2024)

AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization
by: Jiang, Zixuan, et al.
Published: (2025)

Fragment-Masked Diffusion for Molecular Optimization
by: Li, Kun, et al.
Published: (2024)

A Generalist Cross-Domain Molecular Learning Framework for Structure-Based Drug Discovery
by: Zhu, Yiheng, et al.
Published: (2025)

A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning
by: Jang, Hyosoon, et al.
Published: (2026)

Text-Guided Molecule Generation with Diffusion Language Model
by: Gong, Haisong, et al.
Published: (2024)

TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering
by: Shen, Yiqing, et al.
Published: (2024)

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

Hierarchical Structure Enhances the Convergence and Generalizability of Linear Molecular Representation
by: Wu, Juan-Ni, et al.
Published: (2024)

Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and Structure
by: Wang, Zhicong, et al.
Published: (2025)

Demystifying Multimodal Biomolecular Co-design With Intrinsic Geodesic Coupling
by: Qiu, Keyue, et al.
Published: (2026)

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

Speak to a Protein: An Interactive Multimodal Co-Scientist for Protein Analysis
by: Navarro, Carles, et al.
Published: (2025)

A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
by: Liu, Shengchao, et al.
Published: (2023)

Deciphering Scientific Reasoning Steps from Outcome Data for Molecule Optimization
by: Liu, Zequn, et al.
Published: (2026)

Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencoders
by: Liu, Hui, et al.
Published: (2025)

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
by: Lin, Haitao, et al.
Published: (2024)

Probe Before You Edit: Probing-Guided Molecular Optimization for LLM Agents in Structure-Based Drug Design
by: Yang, Zaifei, et al.
Published: (2026)

FragmentGPT: A Unified GPT Model for Fragment Growing, Linking, and Merging in Molecular Design
by: Liu, Xuefeng, et al.
Published: (2025)