Peldom/papers_for_protein_design_using_DL

• hightopics#1

  Add specific topics to clarify resource type

  原因：

  当前

  deep-learning, protein-design

  复制粘贴的修复

  复制

  deep-learning, protein-design, awesome-list, research-papers, paper-collection

  待办完成忽略
• highreadme#2

  Reposition README opening to clarify curated list vs. search engine

  原因：

  当前

  # List of papers about Protein Design using Deep Learning
  > This repository is inspired by the remarkable work of Kevin Kaichuang Yang and their outstanding project Machine-learning-for-proteins. We have established this repository to provide a specialized and focused platform for the field of **Deep Learning for Protein Design**, a rapidly advancing domain in computational biology.

  复制粘贴的修复

  复制

  # Curated List of Papers: Deep Learning for Protein Design
  > This repository offers a **highly specialized and curated collection** of research papers focused on **Deep Learning for Protein Design**, a rapidly advancing domain in computational biology. It serves as a streamlined alternative to broad academic search engines, providing a focused platform for researchers to discover and track advancements.

  待办完成忽略
• mediumhomepage#3

  Add a homepage URL to the About section

  原因：

  复制粘贴的修复

  复制

  https://github.com/Peldom/papers_for_protein_design_using_DL

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  Where can I find recent research papers on using deep learning for protein design?

  你：未被推荐
  AI 推荐顺序：

  1. arXiv.org
  2. PubMed
  3. Google Scholar
  4. bioRxiv
  5. NeurIPS
  6. ICML
  7. ICLR
  8. ISMB
  9. ECCB
  10. RECOMB
  11. Nature
  12. Science
  13. Cell
  14. PNAS
  15. Nature Methods
  16. Nature Biotechnology
  17. Science Advances
  18. Cell Systems
  19. Journal of Molecular Biology
  20. Proteins: Structure, Function, and Bioinformatics
  21. Structure
  22. Twitter

  AI 推荐了 22 个替代方案，却始终没点名 Peldom/papers_for_protein_design_using_DL。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are the latest advancements in generative AI models for novel protein structure creation?

  你：未被推荐
  AI 推荐顺序：

  1. AlphaFold3
  2. RFdiffusion
  3. FrameFlow
  4. ProGen
  5. ProteinMPNN
  6. ESM-2

  AI 推荐了 6 个替代方案，却始终没点名 Peldom/papers_for_protein_design_using_DL。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of Peldom/papers_for_protein_design_using_DL?

  pass
  ✓AI 明确点名了 Peldom/papers_for_protein_design_using_DL

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts Peldom/papers_for_protein_design_using_DL in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 Peldom/papers_for_protein_design_using_DL

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo Peldom/papers_for_protein_design_using_DL solve, and who is the primary audience?

  pass
  ⚠AI 未点名 Peldom/papers_for_protein_design_using_DL —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？