Prediction of protein secondary structure. ([2016])
- Record Type:
- Book
- Title:
- Prediction of protein secondary structure. ([2016])
- Main Title:
- Prediction of protein secondary structure
- Further Information:
- Note: Edited by Yaoqi Zhou, Andrzej Kloczkowski, Eshel Faraggi, Yuedong Yang.
- Editors:
- Zhou, Yaoqi
Kloczkowski, Andrzej
Faraggi, Eshel
Yang, Yuedong - Contents:
- 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 Protein1. 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. … (more)
- Publisher Details:
- New York, NY : Humana Press
- Publication Date:
- 2016
- Copyright Date:
- 2017
- Extent:
- 1 online resource (xi, 313 pages), illustrations (some color)
- Subjects:
- 572/.633
Life sciences
Proteins -- Structure -- Laboratory manuals
Proteins -- Structure
Proteins -- ultrastructure
Biochemistry
Science -- Life Sciences -- Biochemistry
Proteins
Electronic books
Laboratory manuals
Laboratory manuals
Laboratory Manuals - Languages:
- English
- ISBNs:
- 9781493964062
1493964062 - Related ISBNs:
- 9781493964048
1493964046 - Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed November 2, 2016).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.371434
- Ingest File:
- 01_356.xml