factorforge-cds 3.2.3

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

FactorForge

Open-source constraint-based CDS design engine for sequence-level CDS design, with primary support for Nicotiana benthamiana (Tobacco BY-2: experimental).

FactorForge performs profile-guided CDS design with CAI/GC metrics, PolyA-signal screening, and Golden Gate/MoClo-aware checks. Primary support: N. benthamiana (agroinfiltration). Experimental host context: Tobacco BY-2 (--host by2).

→ 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.eijex.com
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
Eijex MCP	MCP-compatible agent access	mcp.eijex.com

---

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.

---

⚠️ Validation Status

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

---

Citing

FactorForge v3.2.3 (2026). Open-source constraint-based CDS design engine.
Eijex. https://github.com/eijex/factorforge-cds

---

Maintainer

Mun-Kyu Kim (@eijex)

License

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

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

---

Get in Touch

• Docs — eijex.github.io/factorforge-cds
• Wet-lab Results — Public-safe validation summaries are welcome. Share Wet-lab Results (Form) or Share Wet-lab Results (GitHub) (public-safe summaries only). Do not submit raw sequences, confidential construct details, internal batch IDs, patient data, private contact information, exact process parameters, or confidential partner/customer data. See VALIDATION.md before submitting.
• GitHub Issues — bugs, features: github.com/eijex/factorforge-cds/issues
• Email — [e-mail]
• FactorForge — factorforge.eijex.com
• Eijex MCP — mcp.eijex.com
• Lab — www.eijex.com