README.md

---
license: cc-by-4.0
language:
- en
---

# Proteus Structures

Computationally generated and predicted molecular structures from **Project Proteus**, the biological discovery research program of **Inserloft Research**.

> **AI for the next generation of biological discovery.**

This repository contains structural representations associated with computational protein-design experiments conducted within Project Proteus.

---

## About

**Proteus Structures** is a structural repository for molecular candidates generated or investigated through the Proteus research program.

The structures in this repository are intended to support:

* Structural inspection
* Computational analysis
* Protein-design research
* Reproducibility
* Visualization
* Further experimental investigation

Unless explicitly stated otherwise, structures contained here are **computational models** and should not be interpreted as experimentally determined structures.

---

## Repository Structure

```text
Proteus-Structures/
│
├── CNB-1/
│   ├── Macromolecular_PET_Hydrolase_Alpha.pdb
│   ├── Alanine-Glycine-Aspartate.pdb
│   └── ...
│
└── README.md
```

Additional structures may be added as Proteus research progresses.

---

## CNB-1

The first experimental model developed for Project Proteus is **Caelis Neural Base-1 (CNB-1)**.

CNB-1 has been used to investigate computational protein design and generate defined molecular candidates for further structural and biological analysis.

### Documented candidates

#### Macromolecular PET Hydrolase Alpha

A computationally designed protein candidate of approximately **350 amino acids**.

The candidate was generated around a structural design seed associated with natural PET-degrading enzymes and was investigated as a potential hydrolytic enzyme candidate targeting polyethylene terephthalate (PET).

The computational hypothesis involves PET hydrolysis toward:

* Terephthalic acid
* Ethylene glycol

Proposed catalytic features remain hypotheses requiring further structural, biochemical, and experimental validation.

#### AGD-F1

**AGD-F1 — Alanine–Glycine–Aspartate Structural Candidate** is a **377-amino-acid** computationally designed protein candidate generated by CNB-1.

Its structure was computationally predicted using **ESMFold**.

Current characterization:

| Property                | Status               |
| ----------------------- | -------------------- |
| Length                  | 377 aa               |
| Generation model        | Caelis Neural Base-1 |
| Structure prediction    | ESMFold              |
| Experimental structure  | Not determined       |
| Biological function     | Uncharacterized      |
| Experimental stability  | Not determined       |
| Experimental validation | Not performed        |

The AGD-F1 designation reflects prominent amino-acid representation in the candidate sequence and does **not** imply a demonstrated biochemical function.

---

## Structure Prediction

Some structures in this repository are computational predictions rather than experimentally determined structures.

For predicted structures, the corresponding metadata should identify:

* The generation model
* The structure-prediction method
* The associated candidate
* The computational nature of the structure
* Relevant attribution

Computational structure predictions should therefore be treated as **structural hypotheses**.

A predicted structure does not establish:

* Biological function
* Experimental stability
* Enzymatic activity
* Binding affinity
* Folding behavior in vivo
* Experimental structure
* Biological efficacy

---

## PDB Files

The repository uses the **Protein Data Bank (PDB)** format for molecular structure representation.

PDB files can be inspected with molecular visualization software such as:

* PyMOL
* UCSF ChimeraX
* VMD
* Mol*
* 3Dmol.js

Web-based Proteus structure viewers may also be provided by Inserloft Research.

---

## Research Philosophy

Proteus is built around a simple research principle:

**Generate. Structure. Analyze. Validate. Repeat.**

Computational generation is only one stage of the process.

The long-term objective is to move from computational molecular hypotheses toward rigorous structural and experimental investigation.

Proteus explores how AI can assist researchers in investigating biological structures and designing candidate molecules relevant to difficult scientific problems.

**For a better world.
For a better life.**

---

## Scientific Status

The structures in this repository represent ongoing research.

Computational results should not be interpreted as established biological discoveries unless explicitly supported by experimental evidence.

Where experimental validation has not been performed, the relevant structure or candidate should be considered a **computational research candidate**.

---

## Attribution

**Inserloft Research**
Project Proteus

Research and computational modeling by Inserloft Research.

Where third-party models, predictors, datasets, or software are used, their respective authors, publications, and licensing terms remain applicable.

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## License

Unless a specific file or directory states otherwise, the repository's licensing terms apply to the structural files and accompanying documentation.

Third-party components, predicted structures, models, datasets, and software may be subject to their own licenses and attribution requirements.

See the individual files and repository metadata for applicable terms.

---

## Disclaimer

These structures are provided for **research and computational analysis purposes**.

Computationally generated or predicted molecular structures are not equivalent to experimentally determined structures.

Nothing in this repository constitutes a claim that a candidate protein has a validated biological function, therapeutic effect, environmental effect, safety profile, or experimental activity unless such evidence is explicitly documented.

---

## Project

**Project Proteus**
Inserloft Research

> **AI for the next generation of biological discovery.**