Prediction of Protein Secondary Structure

ISBN-13: 9781493964048 / Angielski / Twarda / 2016 / 313 str.

Yaoqi Zhou; Andrzej Kloczkowski; Eshel Faraggi

Spis treści

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

 

<9. Assessing Predicted Contacts for Building Protein Three-Dimensional Models

            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

Blurb

This thorough volume explores predicting one-dimensional functional properties, functional sites in particular, from protein sequences, an area which is getting more and more attention. Beginning with secondary structure prediction based on sequence only, the book continues by exploring secondary structure prediction based on evolution information, prediction of solvent accessible surface areas and backbone torsion angles, model building, global structural properties, functional properties, as well as visualizing interior and protruding regions in proteins. Written for the highly successful Methods in Molecular Biology series, the chapters include the kind of detail and implementation advice to ensure success in the laboratory. 

Practical and authoritative, Prediction of Protein Secondary Structure serves as a vital guide to numerous state-of-the-art techniques that are useful for computational and experimental biologists.