REPOGEO REPORT · LITE

Peldom/papers_for_protein_design_using_DL

Default branch main · commit 4f17c1e4 · scanned 5/28/2026, 12:03:16 AM

GitHub: 1,930 stars · 217 forks

AI VISIBILITY SCORE

28 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

2 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface Peldom/papers_for_protein_design_using_DL, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

hightopics#1

Add specific topics to clarify resource type

Why:

CURRENT

deep-learning, protein-design

COPY-PASTE FIX

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

highreadme#2

Reposition README opening to clarify curated list vs. search engine

Why:

CURRENT

# 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.

COPY-PASTE FIX

# 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.

mediumhomepage#3
Add a homepage URL to the About section
Why:
COPY-PASTE FIX
```
https://github.com/Peldom/papers_for_protein_design_using_DL
```

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface Peldom/papers_for_protein_design_using_DL

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

arXiv.org

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

arXiv.org · recommended 1×
PubMed · recommended 1×
Google Scholar · recommended 1×
bioRxiv · recommended 1×
NeurIPS · recommended 1×

CATEGORY QUERY
Where can I find recent research papers on using deep learning for protein design?
you: not recommended
AI recommended (in order):
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 recommended 22 alternatives but never named Peldom/papers_for_protein_design_using_DL. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the latest advancements in generative AI models for novel protein structure creation?
you: not recommended
AI recommended (in order):
1. AlphaFold3
2. RFdiffusion
3. FrameFlow
4. ProGen
5. ProteinMPNN
6. ESM-2
AI recommended 6 alternatives but never named Peldom/papers_for_protein_design_using_DL. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of Peldom/papers_for_protein_design_using_DL?
pass
AI named Peldom/papers_for_protein_design_using_DL explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts Peldom/papers_for_protein_design_using_DL in production, what risks or prerequisites should they evaluate first?
pass
AI named Peldom/papers_for_protein_design_using_DL explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo Peldom/papers_for_protein_design_using_DL solve, and who is the primary audience?
pass
AI did not name Peldom/papers_for_protein_design_using_DL — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of Peldom/papers_for_protein_design_using_DL. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/Peldom/papers_for_protein_design_using_DL.svg)](https://repogeo.com/en/r/Peldom/papers_for_protein_design_using_DL)

HTML

<a href="https://repogeo.com/en/r/Peldom/papers_for_protein_design_using_DL"><img src="https://repogeo.com/badge/Peldom/papers_for_protein_design_using_DL.svg" alt="RepoGEO" /></a>

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite