LOCUSTRA: Accurate Prediction of Local Protein Structure Using a Two-Layer Support Vector Machine Approach-Reference-Cited by-同舟云学术

LOCUSTRA: Accurate Prediction of Local Protein Structure Using a Two-Layer Support Vector Machine Approach

Published:2008-09-03 Issue:9 Volume:48 Page:1903-1908
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Zimmermann Olav¹,Hansmann Ulrich H. E.¹

Affiliation:

1. John von Neumann Institut für Computing, Research Centre Jülich, 52425 Jülich, Germany, and Department of Physics, Michigan Technological University, Houghton, Michigan 49931

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci800178a

Reference29 articles.

1. Bayesian probabilistic approach for predicting backbone structures in terms of protein blocks

2. The Protein Data Bank

3. A knowledge-based move set for protein folding

4. Protein secondary structure prediction based on position-specific scoring matrices 1 1Edited by G. Von Heijne

5. BhairPred: prediction of -hairpins in a protein from multiple alignment information using ANN and SVM techniques

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning-based prediction of proteins’ architecture using sequences of amino acids and structural alphabets;Journal of Biomolecular Structure and Dynamics;2024-03-20

2. Effective Local and Secondary Protein Structure Prediction by Combining a Neural Network-Based Approach with Extensive Feature Design and Selection without Reliance on Evolutionary Information;International Journal of Molecular Sciences;2023-10-27

3. Method to Generate Complex Predictive Features for Machine Learning-Based Prediction of the Local Structure and Functions of Proteins;Molecular Biology;2023-02

4. A Method to Generate Complex Predictive Features for ML-Based Prediction of the Local Protein Structure;Молекулярная биология;2023-01-01

5. Prediction of structural alphabet protein blocks using data mining;Biochimie;2022-06