Cover Image

CCPL: Cross-modal Contrastive Protein Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Jiangbin, Li, Stan Z.
Format:	Preprint
Published:	2023
Subjects:	Biomolecules Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Graph-level Protein Representation Learning by Structure Knowledge Refinement
by: Wang, Ge, et al.
Published: (2024)

Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer
by: Tan, Cheng, et al.
Published: (2023)

PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction
by: Wu, Lirong, et al.
Published: (2024)

FoldToken: Learning Protein Language via Vector Quantization and Beyond
by: Gao, Zhangyang, et al.
Published: (2024)

Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective
by: Tan, Cheng, et al.
Published: (2022)

FoldToken2: Learning compact, invariant and generative protein structure language
by: Gao, Zhangyang, et al.
Published: (2024)

PFMBench: Protein Foundation Model Benchmark
by: Gao, Zhangyang, et al.
Published: (2025)

MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign
by: Zheng, Jiangbin, et al.
Published: (2024)

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

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

RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
by: Tan, Cheng, et al.
Published: (2023)

PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs
by: Zheng, Xinzhe, et al.
Published: (2025)

Bridge-IF: Learning Inverse Protein Folding with Markov Bridges
by: Zhu, Yiheng, et al.
Published: (2024)

ProtCLIP: Function-Informed Protein Multi-Modal Learning
by: Zhou, Hanjing, et al.
Published: (2024)

Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship
by: Ko, Eunji, et al.
Published: (2024)

PPFlow: Target-aware Peptide Design with Torsional Flow Matching
by: Lin, Haitao, et al.
Published: (2024)

Deep Manifold Transformation for Protein Representation Learning
by: Hu, Bozhen, et al.
Published: (2024)

A Generalist Cross-Domain Molecular Learning Framework for Structure-Based Drug Discovery
by: Zhu, Yiheng, et al.
Published: (2025)

Advanced Deep Learning Methods for Protein Structure Prediction and Design
by: Zhang, Yichao, et al.
Published: (2025)

Orientation-Aware Graph Neural Networks for Protein Structure Representation Learning
by: Li, Jiahan, et al.
Published: (2022)

UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
by: Feng, Shikun, et al.
Published: (2024)

Contrastive Multi-Task Learning with Solvent-Aware Augmentation for Drug Discovery
by: Lan, Jing, et al.
Published: (2025)

Protein Design with Dynamic Protein Vocabulary
by: Liu, Nuowei, et al.
Published: (2025)

From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning?
by: Cao, Hanqun, et al.
Published: (2025)

Generative Active Learning for the Search of Small-molecule Protein Binders
by: Korablyov, Maksym, et al.
Published: (2024)

Reinforcement Learning for Sequence Design Leveraging Protein Language Models
by: Subramanian, Jithendaraa, et al.
Published: (2024)

Protein as a Second Language for LLMs
by: Chen, Xinhui, et al.
Published: (2025)

Multimodal Regression for Enzyme Turnover Rates Prediction
by: Hu, Bozhen, et al.
Published: (2025)

Tensor-DTI: Enhancing Biomolecular Interaction Prediction with Contrastive Embedding Learning
by: Gil-Sorribes, Manel, et al.
Published: (2026)

Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
by: Zhao, Jiale, et al.
Published: (2024)

ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering
by: Shen, Yiqing, et al.
Published: (2024)

Full-Atom Peptide Design based on Multi-modal Flow Matching
by: Li, Jiahan, et al.
Published: (2024)

Structure-Aware Contrastive Learning with Fine-Grained Binding Representations for Drug Discovery
by: Lan, Jing, et al.
Published: (2025)

TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering
by: Shen, Yiqing, et al.
Published: (2024)

Protein Structure Prediction in the 3D HP Model Using Deep Reinforcement Learning
by: Espitia, Giovanny, et al.
Published: (2024)

TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation
by: Zongying, Lin, et al.
Published: (2024)

ProtFlow: Fast Protein Sequence Design via Flow Matching on Compressed Protein Language Model Embeddings
by: Kong, Zitai, et al.
Published: (2025)

One-step Structure Prediction and Screening for Protein-Ligand Complexes using Multi-Task Geometric Deep Learning
by: He, Kelei, et al.
Published: (2024)

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

Do Protein Transformers Have Biological Intelligence?
by: Lin, Fudong, et al.
Published: (2025)