<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Ranomics — Protein &amp; Cell Engineering CRO</title><description>Technical writing on AI protein design, yeast and mammalian display, deep mutational scanning, directed evolution, and the methods Ranomics uses to engineer proteins for biopharma and industrial biotech.</description><link>https://ranomics.com/</link><language>en-us</language><item><title>Binder Design on a Grant Budget: Scoping a Single-Target Campaign</title><link>https://ranomics.com/binder-design-on-a-grant-budget/</link><guid isPermaLink="true">https://ranomics.com/binder-design-on-a-grant-budget/</guid><description>What to prioritize, what to cut, and what actually determines cost when a PI or postdoc is running a single-target de novo binder design campaign on a defined budget.</description><pubDate>Mon, 20 Apr 2026 00:00:00 GMT</pubDate><category>binder discovery</category><category>academic research</category><category>protein design</category><category>de novo design</category><category>RFdiffusion</category><category>BindCraft</category><category>yeast display</category><category>CRO</category><category>grant budget</category></item><item><title>From an AlphaFold Model to Your First Binder: A Walkthrough for Teams Without Structural Biology Expertise</title><link>https://ranomics.com/from-alphafold-model-to-first-binder/</link><guid isPermaLink="true">https://ranomics.com/from-alphafold-model-to-first-binder/</guid><description>A practical, step-by-step guide for small biotech and academic teams who have an AlphaFold model of their target but no structural biologist on staff — what to check, what to decide, and how to move into a binder design campaign.</description><pubDate>Mon, 20 Apr 2026 00:00:00 GMT</pubDate><category>AlphaFold</category><category>binder discovery</category><category>de novo design</category><category>RFdiffusion</category><category>BindCraft</category><category>ESMFold</category><category>structural biology</category><category>protein design</category><category>seed biotech</category></item><item><title>Engineering pH-Dependent Antibodies on Yeast Surface Display: A 640-Clone Case Study</title><link>https://ranomics.com/ph-dependent-antibody-engineering-yeast-display-case-study/</link><guid isPermaLink="true">https://ranomics.com/ph-dependent-antibody-engineering-yeast-display-case-study/</guid><description>A technical walkthrough of a real pH-dependent antibody engineering campaign — 640-clone yeast display library, six FACS sorts, convergent hotspot residues, and quantitative enrichment-score ranking.</description><pubDate>Mon, 20 Apr 2026 00:00:00 GMT</pubDate><category>yeast display</category><category>antibody discovery</category><category>FACS</category><category>directed evolution</category><category>affinity maturation</category></item><item><title>When to Use Epitope Scout vs. a Structural Biologist</title><link>https://ranomics.com/when-to-use-epitope-scout-vs-a-structural-biologist/</link><guid isPermaLink="true">https://ranomics.com/when-to-use-epitope-scout-vs-a-structural-biologist/</guid><description>A practical framing of when automated epitope scoring is enough for your binder campaign and when you actually need a human structural biologist in the loop — with a checklist for deciding on your own target.</description><pubDate>Mon, 20 Apr 2026 00:00:00 GMT</pubDate><category>Epitope Scout</category><category>binder discovery</category><category>structural biology</category><category>RFdiffusion</category><category>BindCraft</category><category>protein design</category><category>hotspot selection</category></item><item><title>Closing the Loop: How AI Protein Design and Display Screening Work as a Single System</title><link>https://ranomics.com/resource-hub/ai-protein-design-display-screening-integrated-workflow/</link><guid isPermaLink="true">https://ranomics.com/resource-hub/ai-protein-design-display-screening-integrated-workflow/</guid><description>Most teams treat computational design and experimental screening as separate workflows. The programs that produce the best binders treat them as one coupled system.</description><pubDate>Tue, 14 Apr 2026 00:00:00 GMT</pubDate><category>AI</category><category>protein design</category><category>de novo design</category><category>binder discovery</category><category>yeast display</category><category>RFdiffusion</category></item><item><title>Protein Engineering Design in the Age of Machine Learning</title><link>https://ranomics.com/protein-engineering-design-in-the-age-of-machine-learning/</link><guid isPermaLink="true">https://ranomics.com/protein-engineering-design-in-the-age-of-machine-learning/</guid><description>Modern protein engineering design increasingly relies on machine learning, but experimental data and workflow integration remain the true bottlenecks. A guide to the six-stage design cycle.</description><pubDate>Tue, 10 Feb 2026 00:00:00 GMT</pubDate><category>protein engineering</category><category>machine learning</category><category>RFdiffusion</category><category>BindCraft</category><category>protein design</category></item><item><title>In Vivo Mutagenesis for AI Training Data: Why Stochastic Diversity Outperforms Designed Libraries</title><link>https://ranomics.com/in-vivo-dna-mutagenesis-as-a-data-strategy-for-ai-driven-protein-engineering/</link><guid isPermaLink="true">https://ranomics.com/in-vivo-dna-mutagenesis-as-a-data-strategy-for-ai-driven-protein-engineering/</guid><description>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.</description><pubDate>Fri, 30 Jan 2026 00:00:00 GMT</pubDate><category>mutagenesis</category><category>AI</category><category>machine learning</category><category>protein engineering</category><category>directed evolution</category><category>CRISPR</category><category>deep mutational scanning</category></item><item><title>The Two-Platform Approach: Using Yeast Display for Affinity and Mammalian Display for Developability</title><link>https://ranomics.com/the-two-platform-approach-using-yeast-display-for-affinity-and-mammalian-display-for-developability/</link><guid isPermaLink="true">https://ranomics.com/the-two-platform-approach-using-yeast-display-for-affinity-and-mammalian-display-for-developability/</guid><description>Don&apos;t choose between yeast display and mammalian display. This guide details a two-platform biologics discovery workflow, using yeast for affinity and mammalian display to screen for developability.</description><pubDate>Tue, 04 Nov 2025 00:00:00 GMT</pubDate><category>yeast display</category><category>mammalian display</category><category>developability</category><category>antibody discovery</category><category>protein engineering</category></item><item><title>How NOT to Build a High-Quality Dataset for AI Protein Engineering: A Guide to Failure</title><link>https://ranomics.com/how-not-to-build-a-high-quality-dataset-for-ai-protein-engineering-a-guide-to-failure/</link><guid isPermaLink="true">https://ranomics.com/how-not-to-build-a-high-quality-dataset-for-ai-protein-engineering-a-guide-to-failure/</guid><description>A satirical guide exposing the most common dataset mistakes in AI protein engineering, from embracing noise to aggressive data processing, and how to avoid them.</description><pubDate>Tue, 21 Oct 2025 00:00:00 GMT</pubDate><category>AI</category><category>machine learning</category><category>protein engineering</category><category>data quality</category><category>datasets</category></item><item><title>Natural, Synthetic, and AI-Designed Libraries: Choosing a Strategy for Antibody Discovery</title><link>https://ranomics.com/natural-synthetic-and-ai-designed-libraries-choosing-a-strategy-for-antibody-discovery/</link><guid isPermaLink="true">https://ranomics.com/natural-synthetic-and-ai-designed-libraries-choosing-a-strategy-for-antibody-discovery/</guid><description>A successful antibody discovery campaign begins with choosing the right source of diversity. Comparing natural, synthetic, and AI-designed libraries for different therapeutic goals.</description><pubDate>Thu, 09 Oct 2025 00:00:00 GMT</pubDate><category>antibody discovery</category><category>library design</category><category>AI</category><category>synthetic biology</category><category>protein engineering</category></item><item><title>The Impact of Post-Translational Modifications in Mammalian Protein Production and Antibody Discovery</title><link>https://ranomics.com/the-impact-of-post-translational-modifications-in-mammalian-protein-production-and-antibody-discovery/</link><guid isPermaLink="true">https://ranomics.com/the-impact-of-post-translational-modifications-in-mammalian-protein-production-and-antibody-discovery/</guid><description>Post-translational modifications are a fundamental layer of biological regulation that dictates a protein&apos;s function and viability as a drug. Understanding glycosylation, disulfide bonds, and chemical liabilities.</description><pubDate>Tue, 07 Oct 2025 00:00:00 GMT</pubDate><category>post-translational modifications</category><category>antibody development</category><category>glycosylation</category><category>biologics</category><category>protein production</category></item><item><title>Troubleshooting Low Display Levels in Yeast and Mammalian Cells: A Step-by-Step Checklist</title><link>https://ranomics.com/troubleshooting-low-display-levels-in-yeast-and-mammalian-cells-a-step-by-step-checklist/</link><guid isPermaLink="true">https://ranomics.com/troubleshooting-low-display-levels-in-yeast-and-mammalian-cells-a-step-by-step-checklist/</guid><description>Low or non-existent display levels are a common roadblock in yeast and mammalian display campaigns. A systematic diagnostic checklist for identifying and resolving the root cause.</description><pubDate>Thu, 02 Oct 2025 00:00:00 GMT</pubDate><category>yeast display</category><category>mammalian display</category><category>troubleshooting</category><category>protein expression</category><category>flow cytometry</category></item><item><title>Introduction to Protein Developability: What Makes a Good Biologic Drug?</title><link>https://ranomics.com/introduction-to-protein-developability-what-makes-a-good-biologic-drug/</link><guid isPermaLink="true">https://ranomics.com/introduction-to-protein-developability-what-makes-a-good-biologic-drug/</guid><description>A biologic with high potency is only half the battle. Many promising candidates fail due to poor developability and manufacturability. The four pillars of protein developability explained.</description><pubDate>Mon, 29 Sep 2025 00:00:00 GMT</pubDate><category>developability</category><category>biologics</category><category>protein engineering</category><category>antibody development</category><category>manufacturing</category></item><item><title>Deconvoluting Polyclonal Hits: Strategies for Characterizing Enriched Library Pools</title><link>https://ranomics.com/deconvoluting-polyclonal-hits-strategies-for-characterizing-enriched-library-pools/</link><guid isPermaLink="true">https://ranomics.com/deconvoluting-polyclonal-hits-strategies-for-characterizing-enriched-library-pools/</guid><description>Your yeast display screen is finished, but choosing the most abundant clone from NGS data can lead to costly mistakes. A strategic framework for deconvoluting polyclonal hits using enrichment ratios and convergent evolution.</description><pubDate>Mon, 22 Sep 2025 00:00:00 GMT</pubDate><category>NGS</category><category>yeast display</category><category>library screening</category><category>bioinformatics</category><category>antibody discovery</category></item><item><title>Beyond FACS: An Introduction to Magnetic-Activated Cell Sorting (MACS) for Library Pre-enrichment</title><link>https://ranomics.com/beyond-facs-an-introduction-to-magnetic-activated-cell-sorting-macs-for-library-pre-enrichment/</link><guid isPermaLink="true">https://ranomics.com/beyond-facs-an-introduction-to-magnetic-activated-cell-sorting-macs-for-library-pre-enrichment/</guid><description>While FACS is the gold standard for precision sorting, it becomes a bottleneck when screening libraries with billions of variants. MACS pre-enrichment solves the throughput problem.</description><pubDate>Tue, 16 Sep 2025 00:00:00 GMT</pubDate><category>FACS</category><category>MACS</category><category>surface display</category><category>library screening</category><category>high-throughput screening</category></item><item><title>Beyond Antibodies: Using Surface Display to Engineer Enzymes and Receptors</title><link>https://ranomics.com/beyond-antibodies-using-surface-display-to-engineer-enzymes-and-receptors/</link><guid isPermaLink="true">https://ranomics.com/beyond-antibodies-using-surface-display-to-engineer-enzymes-and-receptors/</guid><description>While surface display is the go-to platform for antibody discovery, applications extend far beyond. This guide covers strategies for engineering enzymes and receptors using yeast and mammalian display.</description><pubDate>Wed, 10 Sep 2025 00:00:00 GMT</pubDate><category>surface display</category><category>yeast display</category><category>enzyme engineering</category><category>receptor engineering</category><category>FACS</category></item><item><title>The Numbers Game: A Practical Guide to Calculating and Validating Library Diversity with NGS</title><link>https://ranomics.com/the-numbers-game-a-practical-guide-to-calculating-and-validate-library-diversity-with-ngs/</link><guid isPermaLink="true">https://ranomics.com/the-numbers-game-a-practical-guide-to-calculating-and-validate-library-diversity-with-ngs/</guid><description>The success of any surface display campaign depends on library quality. A practical framework for NGS-based library validation covering diversity metrics, uniformity assessment, and sequencing workflows.</description><pubDate>Mon, 08 Sep 2025 00:00:00 GMT</pubDate><category>NGS</category><category>library design</category><category>quality control</category><category>yeast display</category><category>sequencing</category></item><item><title>A Technical Guide to Sorting Strategies in Surface Display</title><link>https://ranomics.com/a-technical-guide-to-sorting-strategies-in-surface-display/</link><guid isPermaLink="true">https://ranomics.com/a-technical-guide-to-sorting-strategies-in-surface-display/</guid><description>In any yeast or mammalian surface display campaign, the flow cytometer is your primary selection tool. A guide to gating strategies, antigen titration, off-rate ranking, and counter-screening.</description><pubDate>Thu, 04 Sep 2025 00:00:00 GMT</pubDate><category>surface display</category><category>FACS</category><category>sorting</category><category>yeast display</category><category>antibody screening</category></item><item><title>Correctly Titrating Display Levels for Reliable Affinity Data in Yeast and Mammalian Systems</title><link>https://ranomics.com/correctly-titrating-display-levels-for-reliable-affinity-data-in-yeast-and-mammalian-systems/</link><guid isPermaLink="true">https://ranomics.com/correctly-titrating-display-levels-for-reliable-affinity-data-in-yeast-and-mammalian-systems/</guid><description>Learn how to optimize display-level titration in yeast and mammalian display systems to obtain accurate affinity data and avoid avidity effects when determining Kd.</description><pubDate>Thu, 28 Aug 2025 00:00:00 GMT</pubDate><category>yeast display</category><category>mammalian display</category><category>affinity</category><category>avidity</category><category>flow cytometry</category></item><item><title>Deep Mutational Scanning: A High-Throughput Approach to Mapping Protein Fitness Landscapes</title><link>https://ranomics.com/deep-mutational-scanning-a-high-throughput-approach-to-mapping-protein-fitness-landscapes/</link><guid isPermaLink="true">https://ranomics.com/deep-mutational-scanning-a-high-throughput-approach-to-mapping-protein-fitness-landscapes/</guid><description>Deep Mutational Scanning (DMS) combines high-diversity library generation, functional selection, and next-generation sequencing to measure the functional consequences of thousands of mutations in a single experiment.</description><pubDate>Thu, 21 Aug 2025 00:00:00 GMT</pubDate><category>deep mutational scanning</category><category>protein engineering</category><category>fitness landscape</category><category>NGS</category><category>directed evolution</category></item><item><title>Protein Folding Optimization in Yeast Display: Engineering Better Expression Systems</title><link>https://ranomics.com/protein-folding-optimization-in-yeast-display-engineering-better-expression-systems/</link><guid isPermaLink="true">https://ranomics.com/protein-folding-optimization-in-yeast-display-engineering-better-expression-systems/</guid><description>Master protein folding optimization in yeast display systems with this guide covering signal peptide engineering, chaperone co-expression, ER retention strategies, and promoter optimization.</description><pubDate>Tue, 19 Aug 2025 00:00:00 GMT</pubDate><category>yeast display</category><category>protein folding</category><category>expression optimization</category><category>chaperone</category><category>protein engineering</category></item><item><title>Avidity Artifacts in Yeast Display: How to Detect and Eliminate False Positive Binders</title><link>https://ranomics.com/eliminating-false-positives-mastering-avidity-effects-in-yeast-display-screening/</link><guid isPermaLink="true">https://ranomics.com/eliminating-false-positives-mastering-avidity-effects-in-yeast-display-screening/</guid><description>A practical guide to detecting and eliminating avidity artifacts in yeast display screening. Covers off-rate selection, soluble competition assays, display level titration, and FACS gating strategies with specific concentrations and timescales.</description><pubDate>Mon, 11 Aug 2025 00:00:00 GMT</pubDate><category>yeast display</category><category>avidity</category><category>false positives</category><category>antibody screening</category><category>flow cytometry</category><category>off-rate selection</category><category>binder screening</category></item><item><title>Library Size Limitations in Yeast Display: Advanced Strategies for Maximizing Diversity</title><link>https://ranomics.com/library-size-limitations-in-yeast-display-advanced-strategies-for-maximizing-diversity/</link><guid isPermaLink="true">https://ranomics.com/library-size-limitations-in-yeast-display-advanced-strategies-for-maximizing-diversity/</guid><description>Discover proven strategies to maximize yeast display library diversity despite transformation limitations, including optimized protocols, Golden Gate cloning, and smart library design.</description><pubDate>Mon, 11 Aug 2025 00:00:00 GMT</pubDate><category>yeast display</category><category>library design</category><category>transformation</category><category>diversity</category><category>protein engineering</category></item><item><title>Leveraging AI and Deep Mutational Scanning to Engineer Novel Enzymes</title><link>https://ranomics.com/leveraging-ai-and-deep-mutational-scanning-to-engineer-novel-enzymes/</link><guid isPermaLink="true">https://ranomics.com/leveraging-ai-and-deep-mutational-scanning-to-engineer-novel-enzymes/</guid><description>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.</description><pubDate>Tue, 15 Jul 2025 00:00:00 GMT</pubDate><category>deep mutational scanning</category><category>AI</category><category>enzyme engineering</category><category>machine learning</category><category>protein engineering</category></item><item><title>A Technical Guide to Directed Evolution for Enhancing Protein Stability and Function</title><link>https://ranomics.com/a-technical-guide-to-directed-evolution-for-enhancing-protein-stability-and-function/</link><guid isPermaLink="true">https://ranomics.com/a-technical-guide-to-directed-evolution-for-enhancing-protein-stability-and-function/</guid><description>A comprehensive guide to directed evolution covering the diversity generation cycle, stability engineering case studies, functional optimization strategies, and the integration of rational and evolutionary approaches.</description><pubDate>Mon, 30 Jun 2025 00:00:00 GMT</pubDate><category>directed evolution</category><category>protein engineering</category><category>protein stability</category><category>enzyme engineering</category><category>mutagenesis</category></item><item><title>From Computational Protein Design to Validated Binders: What Actually Works</title><link>https://ranomics.com/ai-protein-design/</link><guid isPermaLink="true">https://ranomics.com/ai-protein-design/</guid><description>What separates successful AI protein design campaigns from failed ones? A practical breakdown of the computational and experimental steps required to go from generative models to validated binders.</description><pubDate>Sun, 15 Jun 2025 00:00:00 GMT</pubDate><category>AI</category><category>protein design</category><category>de novo design</category><category>binder discovery</category><category>CRO</category><category>RFdiffusion</category><category>BindCraft</category><category>yeast display</category></item><item><title>ProteinMPNN and the sequence design problem: what it does and why it matters</title><link>https://ranomics.com/resource-hub/proteinmpnn-sequence-design-explained/</link><guid isPermaLink="true">https://ranomics.com/resource-hub/proteinmpnn-sequence-design-explained/</guid><description>ProteinMPNN solves the inverse folding problem. Given a backbone, which sequences will fold into it? How it works, how it fits into de novo binder design pipelines, and the practical parameters that matter.</description><pubDate>Thu, 08 May 2025 00:00:00 GMT</pubDate><category>ProteinMPNN</category><category>inverse folding</category><category>sequence design</category></item><item><title>Library Design Decisions That Determine Screening Campaign Success</title><link>https://ranomics.com/navigating-the-hurdles-a-researchers-guide-to-optimizing-high-throughput-screens-library-design-and-protein-engineering/</link><guid isPermaLink="true">https://ranomics.com/navigating-the-hurdles-a-researchers-guide-to-optimizing-high-throughput-screens-library-design-and-protein-engineering/</guid><description>How diversity calculations, codon strategy, transformation efficiency, and NGS-based QC directly determine whether your screening campaign produces leads or wastes months of work.</description><pubDate>Wed, 16 Apr 2025 00:00:00 GMT</pubDate><category>library design</category><category>directed evolution</category><category>codon optimization</category><category>variant library QC</category><category>protein engineering</category></item><item><title>Hotspot-guided binder design: using structure to focus the design campaign</title><link>https://ranomics.com/resource-hub/hotspot-guided-protein-binder-design/</link><guid isPermaLink="true">https://ranomics.com/resource-hub/hotspot-guided-protein-binder-design/</guid><description>Hotspot residues (the subset of interface contacts that contribute most of the binding energy) dramatically improve de novo binder design campaigns when used to constrain diffusion-based generation.</description><pubDate>Wed, 02 Apr 2025 00:00:00 GMT</pubDate><category>hotspot design</category><category>RFdiffusion</category><category>binder design</category></item><item><title>AI de novo design vs. library screening: when to use which approach</title><link>https://ranomics.com/resource-hub/ai-design-vs-library-screening-when-to-use-which/</link><guid isPermaLink="true">https://ranomics.com/resource-hub/ai-design-vs-library-screening-when-to-use-which/</guid><description>De novo computational design and library screening are not competing methods. A decision framework for choosing between them, and why the best programs often couple both.</description><pubDate>Wed, 05 Mar 2025 00:00:00 GMT</pubDate><category>protein design</category><category>library screening</category><category>decision framework</category></item><item><title>RFdiffusion in Practice: What Works, What Fails, and What Most Guides Leave Out</title><link>https://ranomics.com/resource-hub/how-rfdiffusion-works-protein-designers-guide/</link><guid isPermaLink="true">https://ranomics.com/resource-hub/how-rfdiffusion-works-protein-designers-guide/</guid><description>Operational lessons from running RFdiffusion binder design campaigns. Scaffold topology biases, hotspot conditioning tradeoffs, partial diffusion for scaffold grafting, failure modes on flat targets and membrane proteins, and how to avoid redundant candidate pools.</description><pubDate>Mon, 10 Feb 2025 00:00:00 GMT</pubDate><category>RFdiffusion</category><category>diffusion models</category><category>protein design</category><category>de novo design</category><category>binder design</category><category>protein binder design</category></item><item><title>De Novo Protein Design: How the Pipeline Works in Practice</title><link>https://ranomics.com/resource-hub/what-is-de-novo-protein-design/</link><guid isPermaLink="true">https://ranomics.com/resource-hub/what-is-de-novo-protein-design/</guid><description>A practitioner&apos;s guide to de novo protein binder design using RFdiffusion, BindCraft, ProteinMPNN, and structural validation. What the real bottlenecks are, what determines campaign success, and how experimental validation has replaced computation as the rate-limiting step.</description><pubDate>Wed, 15 Jan 2025 00:00:00 GMT</pubDate><category>de novo design</category><category>protein design</category><category>RFdiffusion</category><category>BindCraft</category><category>ProteinMPNN</category><category>protein binder design</category></item></channel></rss>