CheapNet: Cross-attention on Hierarchical representations for Efficient protein-ligand binding Affinity Prediction

Hyukjun Lim, Sun Kim, Sangseon Lee
2/12/2026

No official code found. Best implementation: hyukjunlim/CheapNet (13 stars, MIT, last commit 2025-03-13).

Semantic Scholar

Code Implementations(1)

hyukjunlim/CheapNetCommunity77%
MIT

[ICLR 2025] CheapNet: Cross-attention on Hierarchical representations for Efficient protein-ligand binding Affinity Prediction

130Python, MakefileJun 28, 20241 years agoMIT
attention-mechanismbioinformaticsbiologychemistryclustering+4 more

Similar Papers

Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches

79% match2024

Protein-ligand binding representation learning from fine-grained interactions

77% match2026

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

77% match2024

Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment

76% match1 repo232026

Generalized Protein Pocket Generation with Prior-Informed Flow Matching

76% match1 repo212026

PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design

75% match2026

Cite this paper

@article{lim2026cheapnet,
  title  = {CheapNet: Cross-attention on Hierarchical representations for Efficient protein-ligand binding Affinity Prediction},
  author = {Hyukjun Lim and Sun Kim and Sangseon Lee},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:654789bf051300463800ac33185b4d71c2b878e9},
  journal = {ICLR 2025 2025}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/654789bf051300463800ac33185b4d71c2b878e9.svg)](https://codeofpaper.com/paper/654789bf051300463800ac33185b4d71c2b878e9)

Discussion