A Machine Learning-based Approach for Quantification of Protein Secondary Structures from Discrete Frequency Infrared Images
Harrison Edmonds, Sudipta S. Mukherjee, Brooke Holcombe, Kevin L. Yeh, Rohit Bhargava, Ayanjeet Ghosh
This paper introduces a neural network model to rapidly predict protein secondary structure from discrete frequency infrared images, significantly reducing data acquisition and analysis time.
bioRxiv · Jan 8, 2025 · PreprintBiophysics