EHCube4P: Learning Epistatic Patterns Through Hypercube Graph Convolution Neural Network for Protein Fitness Function Estimation

Documenti analoghi

• From thermodynamics to protein design: Diffusion models for biomolecule generation towards autonomous protein engineering
  di: Li, Wen-ran, et al.
  Pubblicazione: (2025)
• Using protein blocks to build custom fragment libraries from protein structures
  di: Dhingra, Surbhi, et al.
  Pubblicazione: (2020)
• PLA-SGCN: Protein-Ligand Binding Affinity Prediction by Integrating Similar Pairs and Semi-supervised Graph Convolutional Network
  di: Abbasi, Karim, et al.
  Pubblicazione: (2024)
• No Generation without Representation: Efficient Causal Protein Language Models Enable Zero-Shot Fitness Estimation
  di: Eris, Furkan
  Pubblicazione: (2026)
• Convolutional Neural Network Transformer (CNNT) for Fluorescence Microscopy image Denoising with Improved Generalization and Fast Adaptation
  di: Rehman, Azaan, et al.
  Pubblicazione: (2024)