DualBind: A Dual-Loss Framework for Protein-Ligand Binding Affinity Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Meng, Paliwal, Saee Gopal |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches
by: Liu, Xuefeng, et al.
Published: (2024)
by: Liu, Xuefeng, et al.
Published: (2024)
Investigating Knowledge Distillation Through Neural Networks for Protein Binding Affinity Prediction
by: Abbasi, Wajid Arshad, et al.
Published: (2026)
by: Abbasi, Wajid Arshad, et al.
Published: (2026)
A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics
by: Liu, Shengchao, et al.
Published: (2024)
by: Liu, Shengchao, et al.
Published: (2024)
Applications of Modular Co-Design for De Novo 3D Molecule Generation
by: Reidenbach, Danny, et al.
Published: (2025)
by: Reidenbach, Danny, et al.
Published: (2025)
DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction
by: Zheng, Jiangbin, et al.
Published: (2024)
by: Zheng, Jiangbin, et al.
Published: (2024)
Llama-Affinity: A Predictive Antibody Antigen Binding Model Integrating Antibody Sequences with Llama3 Backbone Architecture
by: Hossain, Delower, et al.
Published: (2025)
by: Hossain, Delower, et al.
Published: (2025)
On Machine Learning Approaches for Protein-Ligand Binding Affinity Prediction
by: Schapin, Nikolai, et al.
Published: (2024)
by: Schapin, Nikolai, et al.
Published: (2024)
PLA-SGCN: Protein-Ligand Binding Affinity Prediction by Integrating Similar Pairs and Semi-supervised Graph Convolutional Network
by: Abbasi, Karim, et al.
Published: (2024)
by: Abbasi, Karim, et al.
Published: (2024)
UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection
by: Fan, Jigang, et al.
Published: (2025)
by: Fan, Jigang, et al.
Published: (2025)
BAPULM: Binding Affinity Prediction using Language Models
by: Meda, Radheesh Sharma, et al.
Published: (2024)
by: Meda, Radheesh Sharma, et al.
Published: (2024)
Hierarchical Contrastive Learning for Multi-Domain Protein-Ligand Binding
by: Zhang, Shuo, et al.
Published: (2026)
by: Zhang, Shuo, et al.
Published: (2026)
FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction
by: Meng, Zhaohan, et al.
Published: (2024)
by: Meng, Zhaohan, et al.
Published: (2024)
Sequence-Only Prediction of Binding Affinity Changes: A Robust and Interpretable Model for Antibody Engineering
by: Liu, Chen, et al.
Published: (2025)
by: Liu, Chen, et al.
Published: (2025)
AbAffinity: A Large Language Model for Predicting Antibody Binding Affinity against SARS-CoV-2
by: Ashraf, Faisal Bin, et al.
Published: (2026)
by: Ashraf, Faisal Bin, et al.
Published: (2026)
AbBiBench: A Benchmark for Antibody Binding Affinity Maturation and Design
by: Zhao, Xinyan, et al.
Published: (2025)
by: Zhao, Xinyan, et al.
Published: (2025)
Twin Peaks: Dual-Head Architecture for Structure-Free Prediction of Protein-Protein Binding Affinity and Mutation Effects
by: Dey, Supantha, et al.
Published: (2025)
by: Dey, Supantha, et al.
Published: (2025)
Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning
by: Guo, Peijin, et al.
Published: (2025)
by: Guo, Peijin, et al.
Published: (2025)
FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction
by: Morehead, Alex, et al.
Published: (2024)
by: Morehead, Alex, et al.
Published: (2024)
A Text-guided Protein Design Framework
by: Liu, Shengchao, et al.
Published: (2023)
by: Liu, Shengchao, et al.
Published: (2023)
Enhancing Protein-Ligand Binding Affinity Predictions using Neural Network Potentials
by: Zariquiey, Francesc Sabanes, et al.
Published: (2024)
by: Zariquiey, Francesc Sabanes, et al.
Published: (2024)
A Novel Framework for Multi-Modal Protein Representation Learning
by: Zheng, Runjie, et al.
Published: (2025)
by: Zheng, Runjie, et al.
Published: (2025)
Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
by: Wu, Lirong, et al.
Published: (2024)
by: Wu, Lirong, et al.
Published: (2024)
ProtT-Affinity: Sequence-Based Protein-Protein Binding Affinity Prediction Using ProtT5 Embeddings
by: Lou, Hongfu
Published: (2025)
by: Lou, Hongfu
Published: (2025)
HyboWaveNet: Hyperbolic Graph Neural Networks with Multi-Scale Wavelet Transform for Protein-Protein Interaction Prediction
by: Yu, Qingzhi, et al.
Published: (2025)
by: Yu, Qingzhi, et al.
Published: (2025)
LAMP-PRo: Label-aware Attention for Multi-label Prediction of DNA- and RNA-binding Proteins using Protein Language Models
by: Ghosh, Nimisha, et al.
Published: (2025)
by: Ghosh, Nimisha, et al.
Published: (2025)
E2CB2former: Effecitve and Explainable Transformer for CB2 Receptor Ligand Activity Prediction
by: Xie, Jiacheng, et al.
Published: (2025)
by: Xie, Jiacheng, et al.
Published: (2025)
CAP: Commutative Algebra Prediction of Protein-Nucleic Acid Binding Affinities
by: Zia, Mushal, et al.
Published: (2025)
by: Zia, Mushal, et al.
Published: (2025)
GAN-TAT: A Novel Framework Using Protein Interaction Networks in Druggable Gene Identification
by: Wang, George Yuanji, et al.
Published: (2024)
by: Wang, George Yuanji, et al.
Published: (2024)
Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions
by: Sun, Rui, et al.
Published: (2024)
by: Sun, Rui, et al.
Published: (2024)
Evolutionary Profiles for Protein Fitness Prediction
by: Fan, Jigang, et al.
Published: (2025)
by: Fan, Jigang, et al.
Published: (2025)
Deep Learning Model for Amyloidogenicity Prediction using a Pre-trained Protein LLM
by: Yagoub, Zohra, et al.
Published: (2025)
by: Yagoub, Zohra, et al.
Published: (2025)
GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration
by: Li, Ziwen, et al.
Published: (2025)
by: Li, Ziwen, et al.
Published: (2025)
Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction
by: Adrian, Matthew, et al.
Published: (2025)
by: Adrian, Matthew, et al.
Published: (2025)
EquiCPI: SE(3)-Equivariant Geometric Deep Learning for Structure-Aware Prediction of Compound-Protein Interactions
by: Nguyen, Ngoc-Quang
Published: (2025)
by: Nguyen, Ngoc-Quang
Published: (2025)
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
by: Xie, Jiaqing, et al.
Published: (2024)
by: Xie, Jiaqing, et al.
Published: (2024)
From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph-Based Deep Learning
by: Min, Yaosen, et al.
Published: (2022)
by: Min, Yaosen, et al.
Published: (2022)
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives
by: Liu, Xiaokun, et al.
Published: (2025)
by: Liu, Xiaokun, et al.
Published: (2025)
All-Atom GPCR-Ligand Simulation via Residual Isometric Latent Flow
by: Zhang, Jiying, et al.
Published: (2026)
by: Zhang, Jiying, et al.
Published: (2026)
Large Language Model is Secretly a Protein Sequence Optimizer
by: Wang, Yinkai, et al.
Published: (2025)
by: Wang, Yinkai, et al.
Published: (2025)
Annotation-guided Protein Design with Multi-Level Domain Alignment
by: Yuan, Chaohao, et al.
Published: (2024)
by: Yuan, Chaohao, et al.
Published: (2024)
Similar Items
-
Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches
by: Liu, Xuefeng, et al.
Published: (2024) -
Investigating Knowledge Distillation Through Neural Networks for Protein Binding Affinity Prediction
by: Abbasi, Wajid Arshad, et al.
Published: (2026) -
A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics
by: Liu, Shengchao, et al.
Published: (2024) -
Applications of Modular Co-Design for De Novo 3D Molecule Generation
by: Reidenbach, Danny, et al.
Published: (2025) -
DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction
by: Zheng, Jiangbin, et al.
Published: (2024)