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Ask any protein in plain English and see the answer in 3D, then let an agent run real science tools or co-fold a drug. Built on NVIDIA Nemotron via Nebius Token Factory.
A protein language model that screens sequences for the desiccation-protective families tardigrades use to survive drying, scoring 0.818 AUC on a protein family it never saw.
Scan a medicine and see it within the protein it acts on, through an interactive 3D model, with plain-language explanations and usage & timing warnings when two of your medicines hit the same target.
analytics pipeline
Explore 75,000 real proteins as a navigable universe, inspect molecular structures, and let GPT-5.6 guide the science through validated tools.
An evidence-aware scientific observatory runtime connecting cinematic WebGL experiences with traceable data, models, predictions, and fallbacks across planetary and molecular scales.
An agent that finds proteins to edit for climate-resilient crops — checking AlphaFold structures and grading the real literature, honest about how much you can actually trust each candidate.
New Plants for You.
Our XGBoost pipeline predicts pIC50 by fusing 2048-bit Morgan Fingerprints with ProtTrans embeddings. Protein-agnostic and robust on "cold" splits, it turns libraries into actionable leads.
An AI-powered pipeline that lets you ask a simple question, "Does this drug bind this protein?" and automatically handles all the computational bottlenecks behind the scenes to give you an answer.
Knowledge That Protects
ProteinAI leverages ESM-2 and Alpha Fold PLMs and neural networks to accurately predict potential protein-protein interactions with uses in disease-related protein associations and drug development.
The goal of this project is to explore pathways to better understand orphan proteins that are uncharacterised in order to investigate causes of tumor cells and other diseases.
Compare the amino acid sequence of COL5A1 gene from different organisms and model its 3D structure.
