Cover Image

Natural Language Processing Methods for the Study of Protein-Ligand Interactions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Michels, James, Bandarupalli, Ramya, Akbari, Amin Ahangar, Le, Thai, Xiao, Hong, Li, Jing, Hom, Erik F. Y.
Format:	Preprint
Published:	2024
Subjects:	Quantitative Methods Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

STELLAR-koff: A Transfer Learning Model for Protein-Ligand Dissociation Rate Constant Prediction Based on Interaction Landscape
by: Li, Jingyuan
Published: (2025)

Hierarchical Contrastive Learning for Multi-Domain Protein-Ligand Binding
by: Zhang, Shuo, et al.
Published: (2026)

PLA-SGCN: Protein-Ligand Binding Affinity Prediction by Integrating Similar Pairs and Semi-supervised Graph Convolutional Network
by: Abbasi, Karim, et al.
Published: (2024)

Tokenizing Electron Cloud in Protein-Ligand Interaction Learning
by: Lin, Haitao, et al.
Published: (2025)

Domain-Aware Geometric Multimodal Learning for Multi-Domain Protein-Ligand Affinity Prediction
by: Zhang, Shuo, et al.
Published: (2026)

PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps
by: Bal, Rakesh, et al.
Published: (2023)

Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review
by: Vefghi, Ali, et al.
Published: (2025)

Molecular Embedding-Based Algorithm Selection in Protein-Ligand Docking
by: Wang, Jiabao Brad, et al.
Published: (2025)

VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design
by: Seo, Hyunjin, et al.
Published: (2026)

TourSynbio-Search: A Large Language Model Driven Agent Framework for Unified Search Method for Protein Engineering
by: Liu, Yungeng, et al.
Published: (2024)

Scaling and Data Saturation in Protein Language Models
by: Spinner, Aviv, et al.
Published: (2025)

Detection of circular permutations by Protein Language Models
by: Hu, Yue, et al.
Published: (2024)

RNA-Protein Interaction Prediction Based on Deep Learning: A Comprehensive Survey
by: Li, Danyu, et al.
Published: (2024)

Automated Protein Motif Localization using Concept Activation Vectors in Protein Language Model Embedding Space
by: Shamail, Ahmad, et al.
Published: (2025)

Enhancing Protein-Ligand Binding Affinity Predictions using Neural Network Potentials
by: Zariquiey, Francesc Sabanes, et al.
Published: (2024)

PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking
by: Jiang, Yize, et al.
Published: (2025)

TemPL: A Novel Deep Learning Model for Zero-Shot Prediction of Protein Stability and Activity Based on Temperature-Guided Language Modeling
by: Tan, Pan, et al.
Published: (2023)

Hallucinations in AlphaFold3 for Intrinsically Disordered Proteins with disorder in Biological Process Residues
by: Gopalan, Shreya, et al.
Published: (2025)

Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach
by: Gao, Ziqi, et al.
Published: (2026)

Training Compute-Optimal Protein Language Models
by: Cheng, Xingyi, et al.
Published: (2024)

Nature's Brewery to Bedtime: The Role of Hops in GABAA Receptor Modulation and Sleep Promotion
by: Benkherouf, Ali Y.
Published: (2024)

ProtSolM: Protein Solubility Prediction with Multi-modal Features
by: Tan, Yang, et al.
Published: (2024)

AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein Engineering
by: Liu, Yungeng, et al.
Published: (2024)

Leveraging Machine Learning Models for Peptide-Protein Interaction Prediction
by: Yin, Song, et al.
Published: (2023)

ProT-GFDM: A Generative Fractional Diffusion Model for Protein Generation
by: Liang, Xiao, et al.
Published: (2025)

Solving the Inverse Problem of Magnetic Induction Tomography Using Gauss-Newton Iterative Method and Zoning Technique to Reduce Unknown Coefficients
by: Yousefi, Mohammad Reza, et al.
Published: (2024)

Mapping Differential Protein-Protein Interaction Networks using Affinity Purification Mass Spectrometry
by: Kaushal, Prashant, et al.
Published: (2024)

The Protein Engineering Tournament: An Open Science Benchmark for Protein Modeling and Design
by: Armer, Chase, et al.
Published: (2023)

MIN: Multi-channel Interaction Network for Drug-Target Interaction with Protein Distillation
by: Li, Shuqi, et al.
Published: (2024)

Accelerating Discovery of Novel and Bioactive Ligands With Pharmacophore-Informed Generative Models
by: Xie, Weixin, et al.
Published: (2024)

An affordable, wearable, fiber-free pulsed-mode diffuse speckle contrast flowmetry (PM-DSCF) sensor for noninvasive measurements of deep cerebral blood flow
by: Yeo, Chaebeom, et al.
Published: (2025)

A Diffusion Model to Shrink Proteins While Maintaining Their Function
by: Baron, Ethan, et al.
Published: (2025)

Learning the Language of Protein Structure
by: Gaujac, Benoit, et al.
Published: (2024)

Viral Dark Matter: Illuminating Protein Function, Ecology, and Biotechnological Promises
by: Kosmopoulos, James C., et al.
Published: (2025)

Leveraging Protein Language Model Embeddings for Catalytic Turnover Prediction of Adenylate Kinase Orthologs in a Low-Data Regime
by: Muir, Duncan F., et al.
Published: (2025)

LiveProteinBench: A Contamination-Free Benchmark for Assessing Models' Specialized Capabilities in Protein Science
by: Rong, Dingyi, et al.
Published: (2025)

ProtT-Affinity: Sequence-Based Protein-Protein Binding Affinity Prediction Using ProtT5 Embeddings
by: Lou, Hongfu
Published: (2025)

Co-Enrichment of Proteins in Extracellular Vesicles
by: Shen, Molly L., et al.
Published: (2023)

Twin Peaks: Dual-Head Architecture for Structure-Free Prediction of Protein-Protein Binding Affinity and Mutation Effects
by: Dey, Supantha, et al.
Published: (2025)

Seq2Bind Webserver for Decoding Binding Hotspots directly from Sequences using Fine-Tuned Protein Language Models
by: Ma, Xiang, et al.
Published: (2025)