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.