Work

Synthetic Genome Design for Biomanufacturing: Integrated Modeling with CRISPR Tools, Python, and Geneious

Year: 2025

Type: article

Abstract: : This study presents a comprehensive approach to synthetic genome design aimed at enhancing microbial biomanufacturing performance. The framework integrates CRISPR-based gene editing (using CHOPCHOP), sequence assembly with Geneious, and metabolic pathway modeling using Python's COBRApy library. We simulate and validate biofuel yield under varying fermentation conditions and quantify transcriptomic changes induced by genome editing. Statistical analysis reveals the optimal design parameters for scalable biofuel production and gene expression stability. Keywords: CRISPR, Biomanufacturing, Synthetic Biology, Geneious, COBRApy, Genome Editing, Transcriptomics, Biofuel Yield, Gene Expression

Source: International Journal of Academic and Industrial Research Innovations(IJAIRI)

DOI: 10.62311/nesx/rp05a4

Author: Murali Krishna Pasupuleti

Language: English

Topic: Microbial Metabolic Engineering and Bioproduction

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

OpenAlex ID: W4410488235

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