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 …
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 …
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
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 …
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data
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 …
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 …
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
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 …
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] 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 …
iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition
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 …
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
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 …
of the most abundant modifications in RNA, which plays very important roles in many …