Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards

1. 1Understand the basics of generative modeling and its applications in protein research
2. 2Explore different neural representations and model classes used in protein design
3. 3Evaluate the effectiveness of conditional generation methods in protein design
4. 4Develop standardized evaluation standards for comparing methods and identifying best practices

Researchers and engineers in bioinformatics and computational biology can benefit from this survey to understand the current state of generative modeling in protein design and identify areas for improvement

💡 Standardized evaluation methods are needed to compare and improve generative modeling methods in protein design

🧬💻 Generative modeling in protein design: a survey on neural representations, conditional generation, and evaluation standards