Powering AI-Based Protein Engineering With Scalable Data скачать в хорошем качестве

Powering AI-Based Protein Engineering With Scalable Data

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 building the data foundation for next-generation discovery. 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. Attend this webinar to: Understand the types and scale of data necessary to realize the promise of AI-enabled protein engineering Discover how A-Alpha Bio utilizes synthetic biology and library-on-library screening to generate large and diverse datasets for training, fine-tuning, benchmarking and validating AI models Explore how A-Alpha has utilized Twist Bioscience Oligo Pools to support rapid and multi-objective AI-guided antibody optimization