Powering AI-Based Protein Engineering With Scalable Data

Powering AI-Based Protein Engineering with Experimental Data at Scale Powering AI-Based Protein Engineering With Scalable Data AI workflows increasingly demand diverse, abundant, and high-quality experimental data. This webinar showcases A-Alpha Bio’s unique approach to measuring protein-protein interactions at unprecedented scale, generating custom data on-demand to build the best possible AI models for protein design and engineering. Learn how this experimental data is being used to rapidly optimize antibodies across multiple challenging properties, in parallel. Artificial intelligence (AI) and machine learning is transforming protein engineering, but its success depends on access to diverse, high-quality experimental data. Traditional approaches often fall short in scale and depth, limiting the potential of AI-driven discovery. This webinar will explore how large-scale measurement of protein-protein interactions is creating the robust data foundation needed to accelerate breakthroughs. Join our expert speaker to see how cutting-edge methods are enabling rapid, multi-objective antibody optimization – paving the way for the next generation of AI-powered custom protein engineering.