Virual Oral Presentation Slide by Slide

IEEE/ICACT20250017 Slide.19        [Big Slide]       [YouTube]	Oral Presentation
	In conclusion, our PSF web application represents a significant advancement in protein scaffold filling technology with several key achievements: Successfully integrating cutting-edge AI models into a user-friendly platform Demonstrating exceptional accuracy in gap filling and sequence generation Creating a flexible system that accommodates both pre-trained model usage and custom model training The impact on proteomics includes simplifying scaffold gap filling and providing reliable solutions for advancing research in protein function prediction and drug discovery. While we acknowledge limitations related to computational demands and dependence on high-quality input sequences, our future directions include expanding AI capabilities for diverse protein families and optimizing scalability through parallel computing. PSF sets a new standard for protein scaffold filling tools, bridging the gap between advanced AI research and practical needs in computational proteomics.

[Go to Next Slide]

Select Voice: Virtual Oral Presentation!!