Some remarks on protein attribute prediction and pseudo amino acid composition

KC Chou - Journal of theoretical biology, 2011 - Elsevier
With the accomplishment of human genome sequencing, the number of sequence-known
proteins has increased explosively. In contrast, the pace is much slower in determining their …

An unprecedented revolution in medicinal chemistry driven by the progress of biological science

KC Chou - Current topics in medicinal chemistry, 2017 - ingentaconnect.com
The eternal or ultimate goal of medicinal chemistry is to find most effective ways to treat
various diseases and extend human beings' life as long as possible. Human being is a …

Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences

W Chen, H Lin, KC Chou - Molecular BioSystems, 2015 - pubs.rsc.org
With the avalanche of DNA/RNA sequences generated in the post-genomic age, it is urgent
to develop automated methods for analyzing the relationship between the sequences and …

[HTML][HTML] Pse-in-One 2.0: an improved package of web servers for generating various modes of pseudo components of DNA, RNA, and protein sequences

B Liu, H Wu, KC Chou - Natural science, 2017 - scirp.org
Pse-in-One 2.0 is a package of web-servers evolved from Pse-in-One (Liu, B., Liu, F., Wang,
X., Chen, J. Fang, L. & Chou, KC Nucleic Acids Research, 2015, 43: W65-W71). In order to …

[HTML][HTML] A multi-label classifier for predicting the subcellular localization of gram-negative bacterial proteins with both single and multiple sites

X Xiao, ZC Wu, KC Chou - PloS one, 2011 - journals.plos.org
Prediction of protein subcellular localization is a challenging problem, particularly when the
system concerned contains both singleplex and multiplex proteins. In this paper, by …

iLoc-Virus: A multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites

X Xiao, ZC Wu, KC Chou - Journal of theoretical biology, 2011 - Elsevier
In the last two decades or so, although many computational methods were developed for
predicting the subcellular locations of proteins according to their sequence information, it is …

[HTML][HTML] NR-2L: a two-level predictor for identifying nuclear receptor subfamilies based on sequence-derived features

P Wang, X Xiao, KC Chou - PloS one, 2011 - journals.plos.org
Nuclear receptors (NRs) are one of the most abundant classes of transcriptional regulators
in animals. They regulate diverse functions, such as homeostasis, reproduction …

[HTML][HTML] iNR-PhysChem: a sequence-based predictor for identifying nuclear receptors and their subfamilies via physical-chemical property matrix

X Xiao, P Wang, KC Chou - PloS one, 2012 - journals.plos.org
Nuclear receptors (NRs) form a family of ligand-activated transcription factors that regulate a
wide variety of biological processes, such as homeostasis, reproduction, development, and …

A survey of computational intelligence techniques in protein function prediction

AK Tiwari, R Srivastava - International journal of proteomics, 2014 - Wiley Online Library
During the past, there was a massive growth of knowledge of unknown proteins with the
advancement of high throughput microarray technologies. Protein function prediction is the …

[HTML][HTML] Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and genetic algorithm

Z Li, X Zhou, Z Dai, X Zou - BMC bioinformatics, 2010 - Springer
Background Because a priori knowledge about function of G protein-coupled receptors
(GPCRs) can provide useful information to pharmaceutical research, the determination of …