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 …
various diseases and extend human beings' life as long as possible. Human being is a …
Similarity computation strategies in the microRNA-disease network: a survey
Various microRNAs have been demonstrated to play roles in a number of human diseases.
Several microRNA-disease network reconstruction methods have been used to describe the …
Several microRNA-disease network reconstruction methods have been used to describe the …
BioSeq-Analysis2. 0: an updated platform for analyzing DNA, RNA and protein sequences at sequence level and residue level based on machine learning …
B Liu, X Gao, H Zhang - Nucleic acids research, 2019 - academic.oup.com
As the first web server to analyze various biological sequences at sequence level based on
machine learning approaches, many powerful predictors in the field of computational …
machine learning approaches, many powerful predictors in the field of computational …
Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou's general PseAAC
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 …
have been found to be effective against disease causing pathogens. Identification of AMPs …
Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways
Identifying essential genes in a given organism is important for research on their
fundamental roles in organism survival. Furthermore, if possible, uncovering the links …
fundamental roles in organism survival. Furthermore, if possible, uncovering the links …
A novel features ranking metric with application to scalable visual and bioinformatics data classification
Coming with the big data era, the filtering of uninformative data becomes emerging. To this
end, ranking the high dimensionality features plays an important role. However, most of the …
end, ranking the high dimensionality features plays an important role. However, most of the …
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 …
most challenging problems is how to computationally analyze their structures and functions …
[HTML][HTML] iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC
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 …
PTRM) occurring in a wide range of DNA sequences. Accurate identification of its sites will …
[HTML][HTML] iACP: a sequence-based tool for identifying anticancer peptides
Cancer remains a major killer worldwide. Traditional methods of cancer treatment are
expensive and have some deleterious side effects on normal cells. Fortunately, the …
expensive and have some deleterious side effects on normal cells. Fortunately, the …
Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database
Deep learning emerges as a powerful tool for analyzing medical images. Retinal disease
detection by using computer-aided diagnosis from fundus image has emerged as a new …
detection by using computer-aided diagnosis from fundus image has emerged as a new …