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awesome-molecular-generation's Introduction

Hi! I'm Alex

  • 🔭 I’m currently working on applications of geometric deep learning and generative modeling for structural biology and computational biology more generally.
  • 🌱 I’m currently learning about generative flow matching with equivariant neural networks.
  • 💬 Ask me about machine learning, artificial intelligence, computational biology, music, cardio and strength training, etc.
  • 📫 How to reach me: LinkedIn, Twitter, Gmail, etc.
  • ⚡ Fun fact: I can understand (i.e., read) more Chinese and Japanese than I can speak.

🌐 Website · 📰 Google Scholar · 👔 LinkedIn · 🐦 Twitter

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awesome-molecular-generation's Issues

antibody design paper

Hi! This awesome list is great! I would like to add a few papers about antibody design. If you think they are appropriate for this topic, please let me know. I am happy to create a pr.

Best,
Zhangzhi

List of papers published at CS conferences in chronological order
ICML22, Antibody-Antigen Docking and Design via Hierarchical Structure Refinement
[paper] [code]
NIPS22, Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures
[paper] [code]
ICLR22, ITERATIVE REFINEMENT GRAPH NEURAL NETWORK FOR ANTIBODY SEQUENCE-STRUCTURE CO-DESIGN
[paper] [code]
ICLR23, Conditional Antibody Design as 3D Equivariant Graph Translation
[paper] [code]
ICLR23, Protein Sequence and Structure Co-Design with Equivariant Translation
[paper]
preprint, Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design

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