Predicting protein structural classes for low-similarity sequences by evaluating different features
Protein structural class could provide important clues for understanding protein fold,
evolution and function. However, it is still a challenging problem to accurately predict protein …
evolution and function. However, it is still a challenging problem to accurately predict protein …
Progress in protein structural class prediction and its impact to bioinformatics and proteomics
KC Chou - Current Protein and Peptide Science, 2005 - ingentaconnect.com
The structural class is an important attribute used to characterize the overall folding type of a
protein or its domain. Since the concept of protein structural class was developed about 3 …
protein or its domain. Since the concept of protein structural class was developed about 3 …
Predicting flexible length linear B-cell epitopes
Identifying B-cell epitopes play an important role in vaccine design, immunodiagnostic tests,
and antibody production. Therefore, computational tools for reliably predicting B-cell …
and antibody production. Therefore, computational tools for reliably predicting B-cell …
Predicting eukaryotic protein subcellular location by fusing optimized evidence-theoretic K-nearest neighbor classifiers
KC Chou, HB Shen - Journal of proteome research, 2006 - ACS Publications
Facing the explosion of newly generated protein sequences in the post genomic era, we are
challenged to develop an automated method for fast and reliably annotating their subcellular …
challenged to develop an automated method for fast and reliably annotating their subcellular …
A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction
During last few decades accurate determination of protein structural class using a fast and
suitable computational method has been a challenging problem in protein science. In this …
suitable computational method has been a challenging problem in protein science. In this …
Hum-PLoc: a novel ensemble classifier for predicting human protein subcellular localization
KC Chou, HB Shen - Biochemical and biophysical research …, 2006 - Elsevier
Predicting subcellular localization of human proteins is a challenging problem, especially
when unknown query proteins do not have significant homology to proteins of known …
when unknown query proteins do not have significant homology to proteins of known …
Prediction of Protein Secondary Structure Content by Using the Concept of Chou s Pseudo Amino Acid Composition and Support Vector Machine
C Chen, L Chen, X Zou, P Cai - Frontiers in Protein and Peptide …, 2014 - benthamdirect.com
Protein secondary structure carries information about local structural arrangements.
Significant majority of successful methods for predicting the secondary structure is based on …
Significant majority of successful methods for predicting the secondary structure is based on …
Large‐scale plant protein subcellular location prediction
KC Chou, HB Shen - Journal of cellular biochemistry, 2007 - Wiley Online Library
Current plant genome sequencing projects have called for development of novel and
powerful high throughput tools for timely annotating the subcellular location of …
powerful high throughput tools for timely annotating the subcellular location of …
Using Recursive Feature Selection with Random Forest to Improve Protein Structural Class Prediction for Low‐Similarity Sequences
Y Wang, Y Xu, Z Yang, X Liu… - … and Mathematical Methods …, 2021 - Wiley Online Library
Many combinations of protein features are used to improve protein structural class
prediction, but the information redundancy is often ignored. In order to select the important …
prediction, but the information redundancy is often ignored. In order to select the important …
Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition
Membrane proteins are vitally important for many biological processes and have become an
attractive target for both basic research and drug design. Knowledge of membrane protein …
attractive target for both basic research and drug design. Knowledge of membrane protein …