Prediction of Protein Secondary Structure

1. Where the Name "GOR" Originates: A Story            Jean Garnier 2. The GOR Method of Protein Secondary Structure Prediction and Its Application as a Protein Aggregation Prediction Tool            Maksim Kouza, Eshel Faraggi, Andrzej Kolinski, and Andrzej Kloczkowski 3. Consensus Prediction of Charged Single Alpha-Helices with CSAHserver            Dániel Dudola, Gábor Tóth, László Nyitray, and Zoltán Gáspári 4. Predicting Protein Secondary Structure Using Consensus Data Mining (CDM) Based on Empirical Statistics and Evolutionary Information            Gaurav Kandoi, Sumudu P. Leelananda, Robert L. Jernigan, and Taner Z. Sen 5. Accurate Prediction of One-Dimensional Protein Structure Features Using SPINE-X            Eshel Faraggi and Andrzej Kloczkowski 6. SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks            Yuedong Yang, Rhys Heffernan, Kuldip Paliwal, James Lyons, Abdollah Dehzangi, Alok Sharma, Jihua Wang, Abdul Sattar, and Yaoqi Zhou 7. Backbone Dihedral Angle Prediction            Olav Zimmermann 8. One-Dimensional Structural Properties of Proteins in the Coarse-Grained CABS Model            Sebastian Kmiecik and Andrzej Kolinski             Badri Adhikari, Debswapna Bhattacharya, Renzhi Cao, and Jianlin Cheng 10. Fast and Accurate Accessible Surface Area Prediction Without a Sequence Profile            Eshel Faraggi, Maksim Kouza, Yaoqi Zhou, and Andrzej Kloczkowski 11. How to Predict Disorder in a Protein of Interest            Vladimir N. Uversky 12. Intrinsic Disorder and Semi-Disorder Prediction by SPINE-D            Tuo Zhang, Eshel Faraggi, Zhixiu Li, and Yaoqi Zhou 13. Predicting Real-Valued Protein Residue Fluctuation Using FlexPred            Lenna Peterson, Michal Jamroz, Andrzej Kolinski, and Daisuke Kihara 14. Prediction of Disordered RNA, DNA, and Protein Binding Regions Using DisoRDPbind            Zhenling Peng, Chen Wang, Vladimir N. Uversky, and Lukasz Kurgan 15. Sequence-Based Prediction of RNA-Binding Residues in Proteins            Rasna R. Walia, Yasser EL-Manzalawy, Vasant G. Honavar, and Drena Dobbs 16. Computational Approaches for Predicting Binding Partners, Interface Residues, and Binding Affinity of Protein-Protein Complexes            K. Yugandhar and M. Michael Gromiha 17. In Silico Prediction of Linear B-Cell Epitopes on Proteins            Yasser EL-Manzalawy, Drena Dobbs, and Vasant G. Honavar 18. Prediction of Protein Phosphorylation Sites by Integrating Secondary Structure Information and Other One-Dimensional Structural Properties            Yongchao Dou, Bo Yao, and Chi Zhang 19. Predicting Post-Translational Modifications from Local Sequence Fragments Using Machine Learning Algorithms: Overview and Best Practices            Marcin Tatjewski, Marcin Kierczak, and Dariusz Plewczynski 20. CX, DPX, and PCW: Web Servers for the Visualization of Interior and Protruding Regions of Protein Structures in 3D and 1D            Balázs Ligeti, Roberto Vera, János Juhász, and Sándor Pongor... Mehr