Dynamic network analysis improves protein 3D structural classification

no code implementations • 14 May 2021 • Khalique Newaz, Jacob Piland, Patricia L. Clark, Scott J. Emrich, Jun Li, Tijana Milenkovic

Here, we propose for the first time a way to model 3D structures of proteins as dynamic PSNs, with the hypothesis that this will improve upon the current state-of-the-art PSC approaches that are based on static PSNs (and thus upon the existing state-of-the-art sequence and other 3D structural approaches).

Classification