↓ Skip to main content

Prediction of Protein Secondary Structure

Overview of attention for book
Cover of 'Prediction of Protein Secondary Structure'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Where the Name “GOR” Originates: A Story
  3. Altmetric Badge
    Chapter 2 The GOR Method of Protein Secondary Structure Prediction and Its Application as a Protein Aggregation Prediction Tool
  4. Altmetric Badge
    Chapter 3 Consensus Prediction of Charged Single Alpha-Helices with CSAHserver
  5. Altmetric Badge
    Chapter 4 Predicting Protein Secondary Structure Using Consensus Data Mining (CDM) Based on Empirical Statistics and Evolutionary Information
  6. Altmetric Badge
    Chapter 5 Accurate Prediction of One-Dimensional Protein Structure Features Using SPINE-X
  7. Altmetric Badge
    Chapter 6 SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks
  8. Altmetric Badge
    Chapter 7 Backbone Dihedral Angle Prediction
  9. Altmetric Badge
    Chapter 8 One-Dimensional Structural Properties of Proteins in the Coarse-Grained CABS Model
  10. Altmetric Badge
    Chapter 9 Assessing Predicted Contacts for Building Protein Three-Dimensional Models
  11. Altmetric Badge
    Chapter 10 Fast and Accurate Accessible Surface Area Prediction Without a Sequence Profile
  12. Altmetric Badge
    Chapter 11 How to Predict Disorder in a Protein of Interest
  13. Altmetric Badge
    Chapter 12 Intrinsic Disorder and Semi-disorder Prediction by SPINE-D
  14. Altmetric Badge
    Chapter 13 Prediction of Protein Secondary Structure
  15. Altmetric Badge
    Chapter 14 Prediction of Disordered RNA, DNA, and Protein Binding Regions Using DisoRDPbind
  16. Altmetric Badge
    Chapter 15 Prediction of Protein Secondary Structure
  17. Altmetric Badge
    Chapter 16 Computational Approaches for Predicting Binding Partners, Interface Residues, and Binding Affinity of Protein–Protein Complexes
  18. Altmetric Badge
    Chapter 17 In Silico Prediction of Linear B-Cell Epitopes on Proteins
  19. Altmetric Badge
    Chapter 18 Prediction of Protein Phosphorylation Sites by Integrating Secondary Structure Information and Other One-Dimensional Structural Properties
  20. Altmetric Badge
    Chapter 19 Predicting Post-Translational Modifications from Local Sequence Fragments Using Machine Learning Algorithms: Overview and Best Practices
  21. Altmetric Badge
    Chapter 20 CX, DPX, and PCW: Web Servers for the Visualization of Interior and Protruding Regions of Protein Structures in 3D and 1D
  22. Altmetric Badge
    Chapter 21 Erratum to: One-Dimensional Structural Properties of Proteins in the Coarse-Grained CABS Model
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

7 tweeters
2 Wikipedia pages


8 Dimensions

Readers on

100 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Prediction of Protein Secondary Structure
Published by
Springer New York, January 2017
DOI 10.1007/978-1-4939-6406-2
978-1-4939-6404-8, 978-1-4939-6406-2

Yaoqi Zhou, Andrzej Kloczkowski, Eshel Faraggi, Yuedong Yang

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 5%
Student > Ph. D. Student 5 5%
Researcher 3 3%
Student > Bachelor 2 2%
Unspecified 1 1%
Other 0 0%
Unknown 84 84%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 6%
Immunology and Microbiology 3 3%
Computer Science 2 2%
Agricultural and Biological Sciences 1 1%
Unspecified 1 1%
Other 3 3%
Unknown 84 84%