Cover Image

MolPIF: A Parameter Interpolation Flow Model for Molecule Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jin, Yaowei, Wang, Junjie, Tang, Yufan, Xiang, Wenkai, Cao, Duanhua, Teng, Dan, Fan, Zhehuan, Xiong, Jiacheng, Sheng, Xia, Zeng, Chuanlong, An, Duo, Zheng, Mingyue, Zheng, Shuangjia, Shi, Qian
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Biomolecules
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
by: Qu, Yanru, et al.
Published: (2024)

RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
by: Ma, Runze, et al.
Published: (2025)

An Energy-Adaptive Elastic Equivariant Transformer Framework for Protein Structure Representation
by: Zhang, Zhongyue, et al.
Published: (2025)

FlowMol3: Flow Matching for 3D De Novo Small-Molecule Generation
by: Dunn, Ian, et al.
Published: (2025)

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

Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule
by: Qiu, Keyue, et al.
Published: (2025)

S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search
by: Zhou, Gengmo, et al.
Published: (2024)

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning
by: Zhu, Yihan, et al.
Published: (2025)

Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks
by: Song, Yuxuan, et al.
Published: (2024)

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

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

Molecule Design by Latent Prompt Transformer
by: Kong, Deqian, et al.
Published: (2024)

Reaction-conditioned De Novo Enzyme Design with GENzyme
by: Hua, Chenqing, et al.
Published: (2024)

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
by: Liu, Zhiyuan, et al.
Published: (2025)

GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules
by: Xiao, Teng, et al.
Published: (2024)

Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction
by: Alcaide, Eric, et al.
Published: (2024)

Structure-Based Drug Design via 3D Molecular Generative Pre-training and Sampling
by: Yang, Yuwei, et al.
Published: (2024)

A Review of Wearable Sweat Monitoring Platforms: From Biomarker Detection to Signal Processing Systems
by: Zheng, Yuhan
Published: (2025)

SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
by: Cretu, Miruna, et al.
Published: (2024)

Effective Protein-Protein Interaction Exploration with PPIretrieval
by: Hua, Chenqing, et al.
Published: (2024)

Towards Universal Spatial Transcriptomics Super-Resolution: A Generalist Physically Consistent Flow Matching Framework
by: Huang, Xinlei, et al.
Published: (2026)

Exploring Discrete Flow Matching for 3D De Novo Molecule Generation
by: Dunn, Ian, et al.
Published: (2024)

Token-Mol 1.0: Tokenized drug design with large language model
by: Wang, Jike, et al.
Published: (2024)

MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension
by: Lu, Xingyu, et al.
Published: (2024)

Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule Generation
by: Dunn, Ian, et al.
Published: (2024)

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
by: Peng, Xingang, et al.
Published: (2022)

PlayMolecule Viewer: a toolkit for the visualization of molecules and other data
by: Torrens-Fontanals, Mariona, et al.
Published: (2023)

Efficient and Precise Force Field Optimization for Biomolecules Using DPA-2
by: Chang, Junhan, et al.
Published: (2024)

Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models
by: Fu, Cong, et al.
Published: (2024)

3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information
by: Kuang, Taojie, et al.
Published: (2023)

Graph-structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities
by: Li, Kun, et al.
Published: (2025)

Leveraging Sequence Purification for Accurate Prediction of Multiple Conformational States with AlphaFold2
by: Xing, Enming, et al.
Published: (2025)

State-aware protein-ligand complex prediction using AlphaFold3 with purified sequences
by: Xing, Enming, et al.
Published: (2025)

Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation
by: Xu, Can, et al.
Published: (2024)

Challenges and Guidelines in Deep Generative Protein Design: Four Case Studies
by: Zheng, Tianyuan, et al.
Published: (2024)

Treatment of phenol wastewater by electro-Fenton oxidative degradation based on efficient iron-based-gas diffusion-photocatalysis
by: Junye, Zhang, et al.
Published: (2025)

Advances of Deep Learning in Protein Science: A Comprehensive Survey
by: Hu, Bozhen, et al.
Published: (2024)

ODesign: A World Model for Biomolecular Interaction Design
by: Zhang, Odin, et al.
Published: (2025)

Molecule Design by Latent Prompt Transformer
by: Kong, Deqian, et al.
Published: (2023)

Design of Ligand-Binding Proteins with Atomic Flow Matching
by: Liu, Junqi, et al.
Published: (2024)