Identify druggable targets in
antibiotic resistance proteins
Druggability analysis and literature mining are fragmented across incompatible tools.
ResistAI integrates AlphaFold, ESM-2 embeddings, fpocket, and RAG into one automated pipeline.
Ranked druggable pockets + AI-cited literature in seconds — for any WHO priority pathogen.
AlphaFold predicts the structure. UniProt holds the sequence.ResistAI tells you whether it's druggable — and runs the analysis live for any protein.
Why ResistAI?
ResistAI does this automatically — saving hours of fragmented manual work.
Without ResistAI
- ✗Go to AlphaFold, download the structure manually
- ✗Install & run fpocket locally, parse raw output files
- ✗Search PubMed separately, read through dozens of abstracts
- ✗Manually integrate structure, pockets, and literature findings
- ✗No way to find evolutionarily similar resistance targets
With ResistAI
- ✓Druggability scoring — AlphaFold gives structure; ResistAI ranks 2,433 pockets automatically
- ✓AI literature summary — Llama 3.3 synthesises PubMed findings with PMID citations in seconds
- ✓ESM-2 similarity search — find evolutionarily related resistance targets instantly
- ✓On-demand druggability — enter any UniProt ID and fpocket scores it live; AlphaFold gives a structure, ResistAI gives the druggable pockets
- ✓One platform — structure + pockets + embeddings + literature, fully integrated
How it works
From protein identifier to ranked druggable targets — fully automated, reproducible, and AI-native.
Built with
Platform features
Analyse Your Protein
Enter any UniProt ID for on-demand druggability analysis, ESM-2 similarity search, and ML prediction.
AI Research Assistant
Ask questions grounded in 2,508 PubMed articles via RAG + Llama 3.3, with PMID-cited answers.
Druggability Dashboard
Browse 2,433 proteins with fpocket scores, XGBoost ML predictions, and ESM-2 similarity search.
3D Protein Viewer
Interactive 3D AlphaFold structures with secondary-structure colouring. Powered by 3Dmol.js.
On-Demand fpocket
Any UniProt ID, scored live — fpocket runs on the AlphaFold structure in real time. No local install, no pipeline.
Email Reports
Send full analysis reports — druggability scores, ML predictions, and cited literature — to your inbox.
Start your research today
Free access to 2,433 analysed resistance proteins, 2,508 indexed articles, and AI-powered literature synthesis.
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