Deep Mutational Scanning & Directed Evolution
Mapping protein fitness landscapes with deep mutational scanning and pushing function forward with directed evolution, one NGS-quantified round at a time.
Working on a deep mutational scanning & directed evolution project? See our deep mutational scanning services.
deep mutational scanning services →Deep Mutational Scanning for Therapeutic Antibodies
How deep mutational scanning supports therapeutic antibody engineering: CDR scanning for affinity, developability co-optimization, and antigen epitope and escape mapping.
Deep Mutational Scanning for Antibody Affinity Maturation
How deep mutational scanning maps an antibody's affinity landscape and reveals which residues to optimize without breaking developability.
Engineering Enzyme Thermostability: A CRO Playbook
Engineering thermostable enzymes for industrial biocatalysis: directed evolution, consensus design, and DMS-guided strategies that hold up at 70°C.
Industrial Enzyme Engineering: A CRO Playbook for Biocatalysis
How CROs engineer enzymes for industrial biocatalysis: substrate scope, organic solvent tolerance, regiospecificity, and process compatibility.
Engineering pH-Dependent Antibodies on Yeast Surface Display: A 640-Clone Case Study
A technical walkthrough of a real pH-dependent antibody engineering campaign, covering a 640-clone yeast display library, six FACS sorts, convergent hotspot residues, and quantitative enrichment-score ranking.
In Vivo Mutagenesis for AI Training Data
How in vivo DNA mutagenesis systems like CRISPR-guided base editors and error-prone polymerases generate the large, unbiased protein variant datasets that machine learning models need. Practical comparison with synthetic library approaches for AI-driven protein engineering.
Deep Mutational Scanning: Mapping Protein Fitness Landscapes
Deep mutational scanning (DMS) combines saturation variant libraries, functional selection, and NGS to measure the functional consequences of thousands of mutations in one experiment, producing a complete map of a protein's fitness landscape.
Leveraging AI and Deep Mutational Scanning to Engineer Novel Enzymes
A comprehensive guide to combining deep mutational scanning with machine learning for enzyme engineering, covering variant library generation, functional selection, data analysis, and the iterative AI-DMS cycle.
Directed Evolution: A Technical Guide for Protein Stability and Function
Directed evolution uses iterative cycles of mutagenesis and selection to engineer proteins for stability, activity, and specificity, without requiring structural knowledge. A technical guide to the diversity generation cycle, screening methods, and integration with AI-guided design.
Library Design Decisions That Determine Screening Campaign Success
How diversity calculations, codon strategy, transformation efficiency, and NGS-based QC directly determine whether your screening campaign produces leads or wastes months of work.
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