Impacts of bioinformatics to medicinal chemistry

KC Chou - Medicinal chemistry, 2015 - ingentaconnect.com
Facing the explosive growth of biological sequence data, such as those of protein/peptide
and DNA/RNA, generated in the post-genomic age, many bioinformatical and mathematical …

Performance measures in evaluating machine learning based bioinformatics predictors for classifications

Y Jiao, P Du - Quantitative Biology, 2016 - Springer
Background Many existing bioinformatics predictors are based on machine learning
technology. When applying these predictors in practical studies, their predictive …

Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou's general PseAAC

PK Meher, TK Sahu, V Saini, AR Rao - Scientific reports, 2017 - nature.com
Antimicrobial peptides (AMPs) are important components of the innate immune system that
have been found to be effective against disease causing pathogens. Identification of AMPs …

iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

Z Chen, P Zhao, F Li, TT Marquez-Lago… - Briefings in …, 2020 - academic.oup.com
With the explosive growth of biological sequences generated in the post-genomic era, one
of the most challenging problems in bioinformatics and computational biology is to …

Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences

B Liu, F Liu, X Wang, J Chen, L Fang… - Nucleic acids …, 2015 - academic.oup.com
With the avalanche of biological sequences generated in the post-genomic age, one of the
most challenging problems in computational biology is how to effectively formulate the …

[HTML][HTML] iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC

P Feng, H Yang, H Ding, H Lin, W Chen, KC Chou - Genomics, 2019 - Elsevier
Abstract N 6-methyladenine (6mA) is one kind of post-replication modification (PTM or
PTRM) occurring in a wide range of DNA sequences. Accurate identification of its sites will …

BioSeq-Analysis: a platform for DNA, RNA and protein sequence analysis based on machine learning approaches

B Liu - Briefings in bioinformatics, 2019 - academic.oup.com
With the avalanche of biological sequences generated in the post-genomic age, one of the
most challenging problems is how to computationally analyze their structures and functions …

[HTML][HTML] iACP: a sequence-based tool for identifying anticancer peptides

W Chen, H Ding, P Feng, H Lin, KC Chou - Oncotarget, 2016 - ncbi.nlm.nih.gov
Cancer remains a major killer worldwide. Traditional methods of cancer treatment are
expensive and have some deleterious side effects on normal cells. Fortunately, the …

iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition

B Liu, L Fang, R Long, X Lan, KC Chou - Bioinformatics, 2016 - academic.oup.com
Motivation: Enhancers are of short regulatory DNA elements. They can be bound with
proteins (activators) to activate transcription of a gene, and hence play a critical role in …

iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition

W Chen, P Feng, H Ding, H Lin, KC Chou - Analytical biochemistry, 2015 - Elsevier
Occurring at adenine (A) with the consensus motif GAC, N 6-methyladenosine (m 6 A) is one
of the most abundant modifications in RNA, which plays very important roles in many …