CodonMutator: a python-based automated oligonucleotide design framework for deep mutational scanning library construction
Year: 2026
Type: article
Abstract: Deep mutational scanning (DMS) enables systematic evaluation of protein sequence-function relationships, but its utility is often limited by the complexity of library construction. Existing mutagenesis strategies are either biased, labor-intensive, or prone to design errors, restricting their scalability for comprehensive variant generation. Here, we present a systematic cloning framework coupled with an automated Python-based pipeline for oligonucleotide design in DMS library construction. Our strategy employs restriction enzyme-guided tiling to partition coding sequences into manageable fragments, ensuring uniform coverage and compatibility with standard cloning workflows. The pipeline supports both strict and relaxed design modes, minimizes redundancy, and incorporates silent mutations to prevent restriction site conflicts. This platform optimizes library design efficiency, improves accuracy, and provides a flexible framework adaptable to diverse genes and experimental contexts. By integrating molecular cloning constraints with computational automation, our method offers a scalable and accessible solution to accelerate DMS library construction and functional genomics studies. [BMB Reports 2026; 59(2): 137-142].
Source: BMB Reports
Institutions: Seoul National University, Kangwon National University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $550
OpenAlex ID: W4417498038