Cover Image

Beyond Olfaction: New Insights into Human Odorant Binding Proteins

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Mifen, Lakbir, Soufyan, Jeon, Mihyeon, Mazur, Vojta, Abeln, Sanne, Mouhib, Halima
Format:	Preprint
Published:	2025
Subjects:	Biomolecules
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond olfaction: New insights into human odorant binding proteins
by: Mifen Chen, et al.
Published: (2026)

Mimicking the Gas-Phase to Transport Odorants through the Nasal Mucus: Functional Insights into Odorant Binding Proteins
by: Paesani, Massimiliano, et al.
Published: (2024)

Odorant Binding Proteins Facilitate the Gas‐Phase Uptake of Odorants Through the Nasal Mucus
by: Massimiliano Paesani, et al.
Published: (2024)

PLM-eXplain: Divide and Conquer the Protein Embedding Space
by: van Eck, Jan, et al.
Published: (2025)

Machine Olfaction and Embedded AI Are Shaping the New Global Sensing Industry
by: Mershin, Andreas, et al.
Published: (2025)

PLD-Tree: Persistent Laplacian Decision Tree for Protein-Protein Binding Free Energy Prediction
by: Xu, Xingjian, et al.
Published: (2024)

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

Hermes: Large DEL Datasets Train Generalizable Protein-Ligand Binding Prediction Models
by: Kleinsasser, Maxwell, et al.
Published: (2026)

Persistent Directed Flag Laplacian (PDFL)-Based Machine Learning for Protein-Ligand Binding Affinity Prediction
by: Zia, Mushal, et al.
Published: (2024)

Exploring Data-Driven Chemical SMILES Tokenization Approaches to Identify Key Protein-Ligand Binding Moieties
by: Temizer, Asu Büşra, et al.
Published: (2022)

A New Route for the Determination of Protein Structure and Function
by: Mejias, S. H., et al.
Published: (2024)

DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
by: Lin, Haitao, et al.
Published: (2022)

Multiview Random Vector Functional Link Network for Predicting DNA-Binding Proteins
by: Quadir, A., et al.
Published: (2024)

Lysine-Cysteine-Serine-Tryptophan Inserted into the DNA-Binding Domain of Human Mineralocorticoid Receptor Increases Transcriptional Activation by Aldosterone
by: Katsu, Yoshinao, et al.
Published: (2024)

Compact Artificial Neural Network Models for Predicting Protein Residue -- RNA Base Binding
by: Selitskiy, Stanislav
Published: (2025)

ZeroFold: Protein-RNA Binding Affinity Predictions from Pre-Structural Embeddings
by: Hanke, Josef, et al.
Published: (2026)

FABind: Fast and Accurate Protein-Ligand Binding
by: Pei, Qizhi, et al.
Published: (2023)

QSAR-Guided Generative Framework for the Discovery of Synthetically Viable Odorants
by: Pearce, Tim C., et al.
Published: (2025)

DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction
by: Zhang, Yupu, et al.
Published: (2025)

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction
by: Ma, Jiahao, et al.
Published: (2025)

CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction
by: Han, Rong, et al.
Published: (2024)

Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient Clustering
by: Jiao, Shujian, et al.
Published: (2024)

Score-Based Generative Models for Designing Binding Peptide Backbones
by: Boom, John D, et al.
Published: (2023)

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

Protein FID: Improved Evaluation of Protein Structure Generative Models
by: Faltings, Felix, et al.
Published: (2025)

Beyond Simple Concatenation: Fairly Assessing PLM Architectures for Multi-Chain Protein-Protein Interactions Prediction
by: Alsamkary, Hazem, et al.
Published: (2025)

Protein Evolution as a Complex System
by: Gall, Barnabas, et al.
Published: (2024)

Fold-switching Proteins
by: Chakravarty, Devlina, et al.
Published: (2025)

Insights Into the Inner Workings of Transformer Models for Protein Function Prediction
by: Wenzel, Markus, et al.
Published: (2023)

Decoding How Proteins Fold
by: Vila, Jorge
Published: (2025)

Biological Insights from Integrative Modeling of Intrinsically Disordered Protein Systems
by: Liu, Zi Hao, et al.
Published: (2024)

Hybrid Quantum Neural Networks for Efficient Protein-Ligand Binding Affinity Prediction
by: Jeong, Seon-Geun, et al.
Published: (2025)

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

Toward the Explainability of Protein Language Models
by: Hunklinger, Andrea, et al.
Published: (2025)

Topological Enhancement of Protein Kinetic Stability
by: Especial, João NC, et al.
Published: (2026)

STELLA: A Multimodal LLM for Protein Functional Annotation via Unified Sequence-Structure Encoding
by: Xiao, Hongwang, et al.
Published: (2025)

TerraBind: Fast and Accurate Binding Affinity Prediction through Coarse Structural Representations
by: Rossi, Matteo, et al.
Published: (2026)

Beyond Ensembles: Simulating All-Atom Protein Dynamics in a Learned Latent Space
by: Sengar, Aditya, et al.
Published: (2025)

Implicitly and Differentiably Representing Protein Surfaces and Interfaces
by: Scott, Cory B., et al.
Published: (2025)

Probing the Dark Energy in the Functional Protein Universe
by: Galpern, Ezequiel A., et al.
Published: (2025)