Prediction of Protein Secondary Structure

Where the Name “GOR” Originates: A Story.- The GOR Method of Protein Secondary Structure Prediction and Its Application as a Protein Aggregation Prediction Tool.- Consensus Prediction of Charged Single Alpha-Helices with CSAHserver.- Predicting Protein Secondary Structure Using Consensus Data Mining (CDM) Based on Empirical Statistics and Evolutionary Information.- Accurate Prediction of One-Dimensional Protein Structure Features Using SPINE-X.- SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks.- Backbone Dihedral Angle Prediction.- One-Dimensional Structural Properties of Proteins in the Coarse-Grained CABS Model.- Assessing Predicted Contacts for Building Protein Three-Dimensional Models.- Fast and Accurate Accessible Surface Area Prediction Without a Sequence Profile.- How to Predict Disorder in a Protein of Interest.- Intrinsic Disorder and Semi-Disorder Prediction by SPINE-D.- Predicting Real-Valued Protein Residue Fluctuation Using FlexPred.- Prediction of Disordered RNA, DNA, and Protein Binding Regions Using DisoRDPbind.- Sequence-Based Prediction of RNA-Binding Residues in Proteins.- Computational Approaches for Predicting Binding Partners, Interface Residues, and Binding Affinity of Protein-Protein Complexes.- In Silico Prediction of Linear B-Cell Epitopes on Proteins.- Prediction of Protein Phosphorylation Sites by Integrating Secondary Structure Information and Other One-Dimensional Structural Properties.- Predicting Post-Translational Modifications from Local Sequence Fragments Using Machine Learning Algorithms: Overview and Best Practices.- CX, DPX, and PCW: Web Servers for the Visualization of Interior and Protruding Regions of Protein Structures in 3D and 1D.