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

D?niel Dudola, G?bor T?th, L?szl? Nyitray, and Zolt?n G?sp?ri

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

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

K. Yugandhar and M. Michael Gromiha

17. In Silico Prediction of Linear B-Cell Epitopes on Proteins

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