Ranomics
Automated liquid handling robot in a high-throughput protein engineering laboratory
Protein engineering CRO

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

01

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.

DMSYeast DisplayMammalian Display
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02

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.

CRISPRLanding PadLentivirusStable Cell Lines
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03

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.

Yeast DisplayLibrary ConstructionNGS
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04

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.

RFdiffusionBindCraftBoltzgen
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05

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.

Library ConstructionYeast DisplayNGS
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06

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.

AlphaFold2ColabFoldESMFoldBoltzgenProteinMPNN
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How we work

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.

Most projects run under mutual NDA; target structures, sequence data, and screening results remain strictly confidential. Lighter agreements (simple MTA, academic collaboration) are available for Pilots, research-tool engagements, and student research groups.

01

Scoping call

Define your target, application, timeline, and success criteria. Statement of work within 5 business days.

02

Design and build

Computational design or library construction. Milestone check-in at completion.

03

Screen and select

High-throughput screening via display, FACS/MACS, or functional assay.

04

Analyze and deliver

NGS sequencing, hit calling, data analysis. Ranked candidates with full data package.

FAQ

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.

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