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FactorForge - open-source constraint-based CDS design engine by Eijex.

Project description

FactorForge

Open-source constraint-based CDS design engine for Nicotiana benthamiana expression workflows.

License Python Version PyPI Web App

FactorForge optimizes protein sequences into N. benthamiana-compatible CDS by maximizing CAI, controlling GC content, eliminating PolyA signals, and producing MoClo/Golden Gate-ready constructs.

Full Documentation


Quick Start

pip install factorforge-cds
factorforge optimize my_protein.fasta -o output.fasta

Or use the web app — no installation required.


Access Options

Method Description Link
Web App No installation, demo & light use factorforge-cds.vercel.app
CLI / Python Local use, batch processing, data privacy pip install factorforge-cds
Docker Full web interface locally docker pull ghcr.io/eijex/factorforge-cds:latest

Repository Structure

The supported production engine is the deterministic profile engine under:

src/factorforge/engines/profile/

Historical implementation tracks are preserved under archive/ for provenance and are not imported by the installed package or exposed as supported engines.


Development History

FactorForge has gone through several implementation generations before the current public release:

Generation Status Description
v1 — NBent_OptiCodon Internal Thesis-derived codon optimization baseline for N. benthamiana
v2 — Rule-Based Engine Internal → Production Deterministic, constraint-aware design engine; became the foundation for the public release
v3-alpha — ML Prototype Archived ML-based design attempt; performance was insufficient for production use; preserved under archive/v3-ml-prototype/
v3.0+ — Current release Public Open-source release of the matured v2 engine under factorforge.engines.profile
v4 — ML Research Track Planned Future ML re-attempt with improved data and architecture

The archive/ directory preserves all three earlier tracks for provenance. None are installed or exposed by the current package.


⚠️ Validation Status

FactorForge predictions are in-silico only and have not been experimentally validated in wet-lab conditions. See Validation and VALIDATION.md.


Citing

FactorForge v3.1.4 (2026). Open-source constraint-based CDS design engine.
Eijex. https://github.com/eijex/factorforge-cds

A citable publication is in preparation.


Contributors

Name Role
👤 Mun-Kyu Kim (@eijex) Author & maintainer
🤖 Claude (Anthropic) Design, analysis, planning
🤖 Codex (OpenAI) Implementation

License

GNU Affero General Public License v3.0 — see LICENSE.

Disclaimer: FactorForge is provided for research purposes only. Predictions are computational and have not been experimentally validated.


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