Imagen de Portada

FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Meng, Zhaohan, Meng, Zaiqiao, Yuan, Ke, Ounis, Iadh
Formato:	Preprint
Publicado:	2024
Materias:	Quantitative Methods Artificial Intelligence Machine Learning Biomolecules
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries
por: Gu, Chunbin, et al.
Publicado: (2024)

Diffusion Models at the Drug Discovery Frontier: A Review on Generating Small Molecules versus Therapeutic Peptides
por: Wang, Yiquan, et al.
Publicado: (2025)

Character-level Tokenizations as Powerful Inductive Biases for RNA Foundational Models
por: Morales-Pastor, Adrián, et al.
Publicado: (2024)

A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics
por: Liu, Shengchao, et al.
Publicado: (2024)

UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection
por: Fan, Jigang, et al.
Publicado: (2025)

Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design
por: Liu, Shengchao, et al.
Publicado: (2024)

Pharmacology Knowledge Graphs: Do We Need Chemical Structure for Drug Repurposing?
por: Abo-Dahab, Youssef, et al.
Publicado: (2026)

Investigating Knowledge Distillation Through Neural Networks for Protein Binding Affinity Prediction
por: Abbasi, Wajid Arshad, et al.
Publicado: (2026)

TriFit: Trimodal Fusion with Protein Dynamics for Mutation Fitness Prediction
por: Cho, Seungik
Publicado: (2026)

JESTR: Joint Embedding Space Technique for Ranking Candidate Molecules for the Annotation of Untargeted Metabolomics Data
por: Kalia, Apurva, et al.
Publicado: (2024)

Modeling enzyme temperature stability from sequence segment perspective
por: Zhang, Ziqi, et al.
Publicado: (2025)

Evolutionary Profiles for Protein Fitness Prediction
por: Fan, Jigang, et al.
Publicado: (2025)

Multi-objective generative AI for designing novel brain-targeting small molecules
por: Noori, Ayush, et al.
Publicado: (2024)

ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models
por: Chen, Zhuo, et al.
Publicado: (2025)

CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
por: Zhou, Gen, et al.
Publicado: (2025)

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

From Words to Molecules: A Survey of Large Language Models in Chemistry
por: Liao, Chang, et al.
Publicado: (2024)

Protein Autoregressive Modeling via Multiscale Structure Generation
por: Qu, Yanru, et al.
Publicado: (2026)

Pareto-Optimal Offline Reinforcement Learning via Smooth Tchebysheff Scalarization
por: Bhatnagar, Aadyot, et al.
Publicado: (2026)

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

Sifting through the Noise: A Survey of Diffusion Probabilistic Models and Their Applications to Biomolecules
por: Norton, Trevor, et al.
Publicado: (2024)

InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders
por: Simon, Elana, et al.
Publicado: (2024)

ProteinBench: A Holistic Evaluation of Protein Foundation Models
por: Ye, Fei, et al.
Publicado: (2024)

Active learning for energy-based antibody optimization and enhanced screening
por: Furui, Kairi, et al.
Publicado: (2024)

FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models
por: Liu, Xuan, et al.
Publicado: (2025)

Applications of Modular Co-Design for De Novo 3D Molecule Generation
por: Reidenbach, Danny, et al.
Publicado: (2025)

General Protein Pretraining or Domain-Specific Designs? Benchmarking Protein Modeling on Realistic Applications
por: Yan, Shuo, et al.
Publicado: (2025)

Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions
por: Sun, Rui, et al.
Publicado: (2024)

Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
por: Xu, Junjie, et al.
Publicado: (2024)

Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design
por: Xu, Ziyu, et al.
Publicado: (2026)

Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks
por: Ünlü, Atabey, et al.
Publicado: (2023)

AMPCliff: quantitative definition and benchmarking of activity cliffs in antimicrobial peptides
por: Li, Kewei, et al.
Publicado: (2024)

HelixDesign-Binder: A Scalable Production-Grade Platform for Binder Design Built on HelixFold3
por: Gao, Jie, et al.
Publicado: (2025)

ProDCARL: Reinforcement Learning-Aligned Diffusion Models for De Novo Antimicrobial Peptide Design
por: Sheng, Fang, et al.
Publicado: (2026)

MicroFuse: Protein-to-Genome Expert Fusion for Microbial Operon Reasoning
por: Cho, Seungik
Publicado: (2026)

Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives
por: Liu, Xiaokun, et al.
Publicado: (2025)

ConfRover: Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression
por: Shen, Yuning, et al.
Publicado: (2025)

AbBiBench: A Benchmark for Antibody Binding Affinity Maturation and Design
por: Zhao, Xinyan, et al.
Publicado: (2025)

DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm
por: Schwarz, Kyriakos, et al.
Publicado: (2022)

Curiosity as a Self-Supervised Method to Improve Exploration in De novo Drug Design
por: Chadi, Mohamed-Amine, et al.
Publicado: (2023)