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Protein Structure Prediction
(Englisch)
Methods in Molecular Biology 2165
Kihara, Daisuke

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Protein Structure Prediction

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Produktbeschreibung

Includes cutting-edge techniques

Provides step-by-step detail essential for reproducible results

Contains key implementation advice from the experts

Includes cutting-edge techniques

Provides step-by-step detail essential for reproducible results

Contains key implementation advice from the experts


This thorough new edition explores web servers and software for protein structure prediction and modeling that are freely available to the academic community. Taking into account the numerous advances in the computational protein structure prediction/modeling field, the book includes residue-contact prediction via deep learning, a wide variety of protein docking models, as well as cryo-electron microscopy (cryo-EM) techniques. Written by renowned experts in the field and for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and implementation advice necessary for researchers to achieve optimal results in their own work. 

Authoritative and fully updated, Protein Structure Prediction, Fourth Edition is a practical and immediately useful guide for biology researchers working toward modeling protein structures.


1. Structural Modeling and Ligand Binding Prediction for Analysis of Structure-Unknown and Function-Unknown Proteins Using FORTE Alignment and PoSSuM Pocket Search

            Yuko Tsuchiya and Kentaro Tomii

 

2. The MULTICOM Protein Structure Prediction Server Empowered by Deep Learning and Contact Distance Prediction

            Jie Hou, Tianqi Wu, Zhiye Guo, Farhan Quadir, and Jianlin Cheng

 

3. ­The Genome3D Consortium for Structural Annotations of Selected Model Organisms

            Vaishali P. Waman, Tom L. Blundell, Daniel Buchan, Julian Gough, David Jones, Lawrence Kelley, Alexey Murzin, Arun Prasad Pandurangan, Ian Sillitoe, Michael Sternberg, Pedro Torres, and Christine Orengo

 

4. Estimating the Quality of 3D Protein Models Using the ModFOLD7 Server

            Ali H.A. Maghrabi and Liam J. McGuffin

 

5. Prediction of Intrinsic Disorder with Quality Assessment Using QUARTER

            Zhonghua Wu, Gang Hu, Christopher J. Oldfield, and Lukasz Kurgan

 

6. Modeling of Three-Dimensional RNA Structures Using SimRNA

            Tomasz K. Wirecki, Chandran Nithin, Sunandan Mukherjee, Janusz M. Bujnicki, and Michal J. Boniecki

 

7. Modeling Protein Homo-Oligomer Structures with GalaxyHomomer Web Server

            Minkyung Baek, Taeyong Park, Lim Heo, and Chaok Seok

 

8. Template-Based Modeling of Protein Complexes Using the PPI3D Web Server

            Justas Dapkunas and Ceslovas Venclovas

 

9. Protein-Protein and Protein-Peptide Docking with ClusPro Server

            Andrey Alekseenko, Mikhail Ignatov, George Jones, Maria Sabitova, and Dima Kozakov

 

10. Modeling of Protein Complexes and Molecular Assemblies with pyDock

            Mireia Rosell, Luis Angel Rodríguez-Lumbreras, and Juan Fernández-Recio

 

11. A Guide for Protein-Protein Docking Using SwarmDock

            Iain H. Moal, Raphael A.G. Chaleil, Mieczyslaw Torchala, and Paul A. Bates

 

12. Modeling Protein-Protein or Protein-DNA/RNA Complexes Using the HDOCK Webserver

            Yumeng Yan and Sheng-You Huang

 

13. IDP-LZerD: Software for Modeling Disordered Protein Interactions

            Charles Christoffer and Daisuke Kihara

 

14. AnAnaS: Software for Analytical Analysis of Symmetries in Protein Structures

            Guillaume Pagès and Sergei Grudinin

 

15. MDockPeP: A Webserver for Blind Prediction of Protein-Peptide Complex Structures

            Xianjin Xu and Xiaoqin Zou

 

16. Protocols for All-Atom Reconstruction and High-Resolution Refinement of Protein-Peptide Complex Structures

            Aleksandra Badaczewska-Dawid, Alisa Khramushin, Andrzej Kolinski, Ora Schueler-Furman, and Sebastian Kmiecik

 

17. DOCKGROUND Tool for Development and Benchmarking of Protein Docking Procedures

            Petras J. Kundrotas, Ian Kotthoff, Sherman W. Choi, Matthew M. Copeland, and Ilya A. Vakser

 

18. Molecular Dynamics Flexible Fitting: All You Want to Know about Resolution Exchange

            John W. Vant, Daipayan Sarkar, Chitrak Gupta, Mrinal S. Shekhar, Sumit Mittal, and Abhishek Singharoy

 

19. Protein Structure Modeling from Cryo-EM Map Using MAINMAST and MAINMAST-GUI Plugin

            Genki Terashi, Yuhong Zha, and Daisuke Kihara

 

20. Protocols for Fast Simulations of Protein Structure Flexibility Using CABS-Flex and SURPASS

            Aleksandra Badaczewska-Dawid, Andrzej Kolinski, and Sebastian Kmiecik



This thorough new edition explores web servers and software for protein structure prediction and modeling that are freely available to the academic community. Taking into account the numerous advances in the computational protein structure prediction/modeling field, the book includes residue-contact prediction via deep learning, a wide variety of protein docking models, as well as cryo-electron microscopy (cryo-EM) techniques. Written by renowned experts in the field and for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and implementation advice necessary for researchers to achieve optimal results in their own work. 

Authoritative and fully updated, Protein Structure Prediction, Fourth Edition is a practical and immediately useful guide for biology researchers working toward modeling protein structures.



This thorough new edition explores web servers and software for protein structure prediction and modeling that are freely available to the academic community. Taking into account the numerous advances in the computational protein structure prediction/modeling field, the book includes residue-contact prediction via deep learning, a wide variety of protein docking models, as well as cryo-electron microscopy (cryo-EM) techniques. Written by renowned experts in the field and for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and implementation advice necessary for researchers to achieve optimal results in their own work. 
Authoritative and fully updated, Protein Structure Prediction, Fourth Edition is a practical and immediately useful guide for biology researchers working toward modeling protein structures.
Structural Modeling and Ligand Binding Prediction for Analysis of Structure-Unknown and Function-Unknown Proteins Using FORTE Alignment and PoSSuM Pocket Search.- The MULTICOM Protein Structure Prediction Server Empowered by Deep Learning and Contact Distance Prediction.- The Genome3D Consortium for Structural Annotations of Selected Model Organisms.- Estimating the Quality of 3D Protein Models Using the ModFOLD7 Server.- Prediction of Intrinsic Disorder with Quality Assessment Using QUARTER.- Modeling of Three-Dimensional RNA Structures Using SimRNA.- Modeling Protein Homo-Oligomer Structures with GalaxyHomomer Web Server.- Template-Based Modeling of Protein Complexes Using the PPI3D Web Server.- Protein-Protein and Protein-Peptide Docking with ClusPro Server.- Modeling of Protein Complexes and Molecular Assemblies with pyDock.- A Guide for Protein-Protein Docking Using SwarmDock.- Modeling Protein-Protein or Protein-DNA/RNA Complexes Using the HDOCK Webserver.- IDP-LZerD: Software for Modeling Disordered Protein Interactions.- AnAnaS: Software for Analytical Analysis of Symmetries in Protein Structures.- MDockPeP: A Webserver for Blind Prediction of Protein-Peptide Complex Structures.- Protocols for All-Atom Reconstruction and High-Resolution Refinement of Protein-Peptide Complex Structures.- DOCKGROUND Tool for Development and Benchmarking of Protein Docking Procedures.- Molecular Dynamics Flexible Fitting: All You Want to Know about Resolution Exchange.- Protein Structure Modeling from Cryo-EM Map Using MAINMAST and MAINMAST-GUI Plugin.- Protocols for Fast Simulations of Protein Structure Flexibility Using CABS-Flex and SURPASS.



Inhaltsverzeichnis



1. Structural Modeling and Ligand Binding Prediction for Analysis of Structure-Unknown and Function-Unknown Proteins Using FORTE Alignment and PoSSuM Pocket Search

Yuko Tsuchiya and Kentaro Tomii

2. The MULTICOM Protein Structure Prediction Server Empowered by Deep Learning and Contact Distance Prediction

Jie Hou, Tianqi Wu, Zhiye Guo, Farhan Quadir, and Jianlin Cheng

3. ­The Genome3D Consortium for Structural Annotations of Selected Model Organisms

Vaishali P. Waman, Tom L. Blundell, Daniel Buchan, Julian Gough, David Jones, Lawrence Kelley, Alexey Murzin, Arun Prasad Pandurangan, Ian Sillitoe, Michael Sternberg, Pedro Torres, and Christine Orengo

4. Estimating the Quality of 3D Protein Models Using the ModFOLD7 Server

Ali H.A. Maghrabi and Liam J. McGuf¿n

5. Prediction of Intrinsic Disorder with Quality Assessment Using QUARTER

Zhonghua Wu, Gang Hu, Christopher J. Oldfield, and Lukasz Kurgan

6. Modeling of Three-Dimensional RNA Structures Using SimRNA

Tomasz K. Wirecki, Chandran Nithin, Sunandan Mukherjee, Janusz M. Bujnicki, and Michal J. Boniecki

7. Modeling Protein Homo-Oligomer Structures with GalaxyHomomer Web Server

Minkyung Baek, Taeyong Park, Lim Heo, and Chaok Seok

8. Template-Based Modeling of Protein Complexes Using the PPI3D Web Server

Justas Dapkunas and Ceslovas Venclovas

9. Protein-Protein and Protein-Peptide Docking with ClusPro Server

Andrey Alekseenko, Mikhail Ignatov, George Jones, Maria Sabitova, and Dima Kozakov

10. Modeling of Protein Complexes and Molecular Assemblies with pyDock

Mireia Rosell, Luis Angel Rodríguez-Lumbreras, and Juan Fernández-Recio

11. A Guide for Protein-Protein Docking Using SwarmDock

Iain H. Moal, Raphael A.G. Chaleil, Mieczyslaw Torchala, and Paul A. Bates

12. Modeling Protein-Protein or Protein-DNA/RNA Complexes Using the HDOCK Webserver

Yumeng Yan and Sheng-You Huang

13. IDP-LZerD: Software for Modeling Disordered Protein Interactions

Charles Christoffer and Daisuke Kihara

14. AnAnaS: Software for Analytical Analysis of Symmetries in Protein Structures

Guillaume Pagès and Sergei Grudinin

15. MDockPeP: A Webserver for Blind Prediction of Protein-Peptide Complex Structures

Xianjin Xu and Xiaoqin Zou

16. Protocols for All-Atom Reconstruction and High-Resolution Refinement of Protein-Peptide Complex Structures

Aleksandra Badaczewska-Dawid, Alisa Khramushin, Andrzej Kolinski, Ora Schueler-Furman, and Sebastian Kmiecik

17. DOCKGROUND Tool for Development and Benchmarking of Protein Docking Procedures

Petras J. Kundrotas, Ian Kotthoff, Sherman W. Choi, Matthew M. Copeland, and Ilya A. Vakser

18. Molecular Dynamics Flexible Fitting: All You Want to Know about Resolution Exchange

John W. Vant, Daipayan Sarkar, Chitrak Gupta, Mrinal S. Shekhar, Sumit Mittal, and Abhishek Singharoy

19. Protein Structure Modeling from Cryo-EM Map Using MAINMAST and MAINMAST-GUI Plugin

Genki Terashi, Yuhong Zha, and Daisuke Kihara

20. Protocols for Fast Simulations of Protein Structure Flexibility Using CABS-Flex and SURPASS

Aleksandra Badaczewska-Dawid, Andrzej Kolinski, and Sebastian Kmiecik


Klappentext

This thorough new edition explores web servers and software for protein structure prediction and modeling that are freely available to the academic community. Taking into account the numerous advances in the computational protein structure prediction/modeling field, the book includes residue-contact prediction via deep learning, a wide variety of protein docking models, as well as cryo-electron microscopy (cryo-EM) techniques. Written by renowned experts in the field and for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and implementation advice necessary for researchers to achieve optimal results in their own work.

n
Authoritative and fully updated, Protein Structure Prediction, Fourth Edition is a practical and immediately useful guide for biology researchers working toward modeling protein structures.




Includes cutting-edge techniques

Provides step-by-step detail essential for reproducible results

Contains key implementation advice from the experts



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