Protein and cell engineering services
AI-driven protein binder design, deep mutational scanning, yeast and mammalian display screening, directed evolution, enzyme engineering, and CRISPR cell engineering — from computational design to experimentally validated candidates
Protein engineering
Deep mutational scanning, affinity maturation, enzyme optimization, stability engineering
Optimize function, stability, and expression through comprehensive variant characterization. Pooled screening of thousands of variants scored for multiple fitness parameters in a single experiment using yeast and mammalian display platforms.
Cell engineering
CRISPR gene editing, stable cell lines, viral vector construction
Stable and reporter cell line development with landing pad technology, CRISPR gene editing, large-scale vector construction, and lentiviral vector production for your therapeutic or research programs.
Directed evolution
Mutagenesis libraries, iterative selection, functional screening
Evolve your protein for improved activity, stability, or specificity through iterative rounds of mutagenesis and selection. Random and focused library approaches screened by display or functional assay, with NGS-quantified enrichment at each round.
AI protein binder design
RFdiffusion, BindCraft, Boltzgen — de novo binder discovery
Generate novel protein binders computationally using structure-guided diffusion models, then validate experimentally through our display platforms. Nanobodies, miniproteins, and custom scaffold binders for any target with a known structure.
Deep mutational scanning
Comprehensive fitness landscapes, variant scoring
Map the functional impact of every possible single amino acid substitution across your protein. Quantitative fitness landscapes for binding, expression, stability, and function — providing mechanistic insight into drug target biology and guiding rational engineering decisions.
AI protein engineering
Structure prediction, conformational sampling, sequence design
Leverage AlphaFold2, ColabFold, and Boltzgen for structure prediction and conformational ensemble generation. Improve activity and stability while screening fewer variants — computational pre-filtering reduces experimental burden. All tools we deploy use permissive MIT or Apache 2.0 licenses.
Technology platforms
Experimental platforms
Yeast display
High-throughput surface display for binding and expression screening
Mammalian display
Full-length antibody and complex protein display on mammalian cells
NGS analysis
Deep sequencing and variant enrichment quantification
CRISPR gene editing
Precise genomic modifications for cell line engineering and functional studies
Variant library construction
Comprehensive mutagenesis libraries for DMS and directed evolution
Computational tools
RFdiffusion
Diffusion-based protein backbone generation (BSD license)
BindCraft
Structure-guided binder design and optimization (MIT license)
ProteinMPNN
Inverse folding for sequence design from backbones (MIT license)
Boltzgen
Boltzmann-weighted conformational sampling for stability prediction
AlphaFold2
Structure prediction via ColabFold (Apache 2.0 license — no restrictive terms)
Epitope Scout
Surface epitope identification and ranking for binder targets
Applications
Binder discovery
De novo protein binders against any target with a known structure
Learn more →Affinity maturation
Systematic optimization of binding affinity through variant landscapes
Learn more →Enzyme engineering
Improved catalytic activity, thermostability, and substrate specificity
Learn more →Antibody engineering
Humanization, affinity optimization, and developability improvements
Learn more →Receptor targeting
Engineered ligands and binders for cell surface receptor modulation
Learn more →AI Binder Sprint
A fixed-scope, 6–8 week program for de novo binder discovery. Target in, validated binders out. No library, no infrastructure required on your end.
Your protein engineering partner, not a black box
Every engagement begins with a technical scoping call. We define the experimental strategy, timeline, and deliverables before any work starts. You receive milestone updates throughout and a final data package with full sequence-level resolution.
All projects run under mutual NDA. Target structures, sequence data, and screening results remain strictly confidential.
Scoping call
Define your target, application, timeline, and success criteria. Statement of work within 5 business days.
Design and build
Computational design or library construction. Milestone check-in at completion.
Screen and select
High-throughput screening via display, FACS/MACS, or functional assay.
Analyze and deliver
NGS sequencing, hit calling, data analysis. Ranked candidates with full data package.
Frequently asked questions
What types of protein engineering projects does Ranomics handle? +
We run de novo binder design (AI-driven), directed evolution, deep mutational scanning, affinity maturation, and variant library screening. Projects range from single-target binder discovery to comprehensive fitness landscape mapping across thousands of variants.
Do you work with both computational and experimental protein engineering? +
Yes. The same team runs GPU-accelerated computational design (RFdiffusion, BindCraft, Boltzgen) and wet-lab validation (yeast display, mammalian display, FACS, NGS). No handoff between vendors.
What is a typical project timeline? +
Our fixed-scope AI Binder Sprint delivers confirmed hits in 6-8 weeks. Custom campaigns — directed evolution, DMS, or multi-round optimization — vary by scope and are specified in the statement of work.
Can Ranomics work under NDA with confidential targets? +
Yes. All projects operate under mutual NDA. Target structures, sequences, and screening data are kept strictly confidential and never shared or reused.
Ready to start a project?
Tell us about your target, timeline, and goals. We'll scope a program and get back to you within 5 business days.
Start a project →