Resources Closing the Loop SF 2026: Designing Functional Proteins With Artificial Intelligence Talk Title: Designing Functional Proteins With Artificial IntelligenceEvent: Closing the Loop SF 2026 Recording Date: June 5, 2026Host: Gator® Bio Sharrol Bachas, Ph.D., Chief Scientific Officer & Co-Founder of Onava, presented this talk at Closing the Loop SF 2026, the AI protein design symposium hosted by Gator Bio. He walks through a workflow where generative models and high-throughput screening run as one loop, with each round of experimental data used to retrain the models for the next. In this talk you will learn: How an AI-human-lab-in-the-loop workflow turns protein design into an iterative engineering process How quantitative screening data is featurized and used to retrain design models each round Case studies where this approach rescued poor initial designs and improved developability How rapid AI-lab iterations compress design-build-test cycles
Resources Fc Receptor Assays Using Gator Bio HIS XT Biosensors Download the Fcγ Receptor Assays Using Gator Bio HIS XT Biosensors Application Note Characterizing IgG interactions with Fc gamma receptors is a high-priority measurement across antibody discovery and development, but low-affinity receptors like FcγRII and FcγRIII are notoriously difficult to measure cleanly. This application note shows how the Gator HIS XT biosensor, featuring the NovoBody™ single-domain capture molecule developed with Monod Bio, delivers clean 1:1 binding kinetics for FcγR assays on Gator Plus+ and other Gator instruments. Inside you’ll find: Optimized Loading Protocol: Guidance on loading FcγRIIA/CD32a to 0.5 nm shift to eliminate mass transport limitation and rebinding artifacts Clean 1:1 Kinetics: Well-resolved association and dissociation curves with R² values above 0.99, validated against published SPR literature values Temperature Flexibility: kon remains stable from 10°C to 40°C, while koff responds predictably to temperature NSB Troubleshooting: His-Ubiquitin blocking dramatically reduces non-specific binding when antibody sample quality is a limiting factor Biosensor Reusability: 10+ regeneration cycles with less than 15% signal loss for high-throughput Fc engineering workflows Request Application Note Download
Resources Closing the Loop SF 2026: A gathering on the AI-native lab – Session Recordings Access Event Recordings Event Title: Closing the Loop SF 2026 — On-Demand Event RecordingsRecording Date: June 5, 2026 On June 5 in South San Francisco, five organizations showed what it looks like when computational protein design and wet lab validation are no longer separate steps. Every talk came back to the same thing: the gap between what the model predicts and what the experiment returns is closing. Fast. Sessions: The New Way Biologists Work — Kexin Huang, PhD, Co-founder, Phylo Designing Functional Proteins With Artificial Intelligence — Sharrol Bachas, PhD, Founder & CSO, Onava Closing the Loop: Ultra-Fast Wet Lab Validation for AI-Guided Protein Design — Ron Gill, PhD, Innovation Manager, Adaptyv Bio AI-Designed Biosensors on Gator — Daniel-Adriano Silva, PhD, CEO and President, Monod Bio Gator Bio Technology Review — Sriram Kumaraswamy, PhD, VP of Marketing & Product Management, Gator Bio Welcome & Framing: Hong Tan, Gator BioHosted by: Gator Bio
Resources MFC XT Biosensors for Hybridoma Screening Download the MFC XT Biosensor for Hybridoma Screening Application Note Hybridoma screening at scale often relies on ELISA workflows that are time-consuming and limited to endpoint data. This application note shows how MFC XT biosensors enable quantitation, off-rate ranking, and affinity-based candidate triage directly from crude supernatants in a single automated BLI run. Inside you’ll find: Single-Assay Screening: Measure titer and rank binding in one automated workflow Real-Time Binding Data: Identify non-binders and weak candidates earlier Wide Dynamic Range: Quantitate from 0.02 to 10,000 µg/mL without extensive dilution Reliable Candidate Ranking: Use off-rate data to prioritize top clones quickly Reduced Manual Work: Eliminate ELISA steps and streamline screening High Throughput: Screen hundreds of clones with minimal intervention Request Application Note Download
Resources On-Demand Webinar: From AI design to validated binder – closing the loop with reversible BLI biosensors Webinar Title: From AI design to validated binder – closing the loop with reversible BLI biosensorsRecording Date: May 6, 2026 Affinity-based protein analysis is entering a new era. As researchers push toward higher-throughput discovery, traditional tools often create bottlenecks that slow innovation. In this webinar you will learn: How Adaptyv Bio’s automated “protein foundry” accelerates validation through end-to-end workflow integration. Functional differences between streptavidin, Strep-Tactin, and Strep-Tactin XT. How the Strep-Tactin XT and Twin-Strep-tag pairing enables stable, reversible binding for efficient BLI sensor regeneration. Methods for combining advanced affinity technologies with automated platforms to enhance speed and scale. Host: SelectScienceCo-Host: Gator Bio Speakers:Ron Gill, Ph.D, Innovation Manager, Adaptyv BioDr. Alexandra Nordlohne, Product Manager, Cube BiotechBen Osborn, Ph.D, Product Manger, Applications, Gator Bio Moderator:Olivia Long, Pharma and Applied Science Assistant Editor, Select Science
Resources Optimizing BLI Assays: Effective Strategies for Reducing Non-Specific Binding Download our new Non-Specific Binding (NSB) Application Note Get the Complete NSB Optimization Technical Documentation Why Download These?Struggling with signal artifacts in complex samples? The NSB Application Note shows you how systematic blocking strategies deliver:✓ 90% reduction in non-specific binding✓ 10x higher data reliability in crude lysates✓ Accurate kinetics for low-concentration analytes✓ Optimized protocols for BSA, detergents, and biocytin✓ Clearer differentiation between true binding and noise Inside you’ll find:– Systematic NSB identification flowchart– Step-by-step optimization protocols– Performance data in cell culture supernatants– Technical troubleshooting guide Request Application Note Download
Resources AI-Engineered NovoBodyTM-Based Probe for “High Capacity, Low Drift” BLI Analysis of His-Tagged Proteins