Prediction of Protein Secondary Structure /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Zhou, Yaoqi. (Editor), Kloczkowski, Andrzej. (Editor), Faraggi, Eshel. (Editor), Yang, Yuedong. (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Humana, 2017.
Edition:1st ed. 2017.
Series:Methods in Molecular Biology, 1484
Subjects:
Table of Contents:
  • Where the Name "GOR" Originates: A Story
  • The GOR Method of Protein Secondary Structure Prediction and Its Application as a Protein Aggregation Prediction Tool
  • Consensus Prediction of Charged Single Alpha-Helices with CSAHserver
  • Predicting Protein Secondary Structure Using Consensus Data Mining (CDM) Based on Empirical Statistics and Evolutionary Information
  • Accurate Prediction of One-Dimensional Protein Structure Features Using SPINE-X
  • SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks
  • Backbone Dihedral Angle Prediction
  • One-Dimensional Structural Properties of Proteins in the Coarse-Grained CABS Model
  • Assessing Predicted Contacts for Building Protein Three-Dimensional Models
  • Fast and Accurate Accessible Surface Area Prediction Without a Sequence Profile
  • How to Predict Disorder in a Protein of Interest
  • Intrinsic Disorder and Semi-Disorder Prediction by SPINE-D
  • Predicting Real-Valued Protein Residue Fluctuation Using FlexPred
  • Prediction of Disordered RNA, DNA, and Protein Binding Regions Using DisoRDPbind
  • Sequence-Based Prediction of RNA-Binding Residues in Proteins
  • Computational Approaches for Predicting Binding Partners, Interface Residues, and Binding Affinity of Protein-Protein Complexes
  • In Silico Prediction of Linear B-Cell Epitopes on Proteins
  • Prediction of Protein Phosphorylation Sites by Integrating Secondary Structure Information and Other One-Dimensional Structural Properties
  • Predicting Post-Translational Modifications from Local Sequence Fragments Using Machine Learning Algorithms: Overview and Best Practices
  • CX, DPX, and PCW: Web Servers for the Visualization of Interior and Protruding Regions of Protein Structures in 3D and 1D.