Protein Local Tertiary Structure Prediction Using the Adaptively-Branching FGK-DF Model

For the past twenty years, protein tertiary structure research has been given much attention. Unfortunately, each approach has significant shortcomings, such as necessary time, capital, or restrictions imposed by the method, limiting the resolution or novelty of produced tertiary structures. This work proposes the Adaptively-Branching Fuzzy Greedy K-means-Decision Forest (FGK-DF) model, which utilizes conserved sequential and structural motifs that transcend protein family boundaries, to predict the local tertiary structure of proteins with unknown structures.