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 …
Protein structure prediction: conventional and deep learning perspectives
VA Jisna, PB Jayaraj - The protein journal, 2021 - Springer
Protein structure prediction is a way to bridge the sequence-structure gap, one of the main
challenges in computational biology and chemistry. Predicting any protein's accurate …
challenges in computational biology and chemistry. Predicting any protein's accurate …
[HTML][HTML] Can machine-learning improve cardiovascular risk prediction using routine clinical data?
Background Current approaches to predict cardiovascular risk fail to identify many people
who would benefit from preventive treatment, while others receive unnecessary intervention …
who would benefit from preventive treatment, while others receive unnecessary intervention …
[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 …
iRNA-PseColl: identifying the occurrence sites of different RNA modifications by incorporating collective effects of nucleotides into PseKNC
There are many different types of RNA modifications, which are essential for numerous
biological processes. Knowledge about the occurrence sites of RNA modifications in its …
biological processes. Knowledge about the occurrence sites of RNA modifications in its …
DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks
B Liu, CC Li, K Yan - Briefings in bioinformatics, 2020 - academic.oup.com
Protein fold recognition is critical for studying the structures and functions of proteins. The
existing protein fold recognition approaches failed to efficiently calculate the pairwise …
existing protein fold recognition approaches failed to efficiently calculate the pairwise …
2L-piRNA: a two-layer ensemble classifier for identifying piwi-interacting RNAs and their function
B Liu, F Yang, KC Chou - Molecular Therapy-Nucleic Acids, 2017 - cell.com
Involved with important cellular or gene functions and implicated with many kinds of cancers,
piRNAs, or piwi-interacting RNAs, are of small non-coding RNA with around 19–33 nt in …
piRNAs, or piwi-interacting RNAs, are of small non-coding RNA with around 19–33 nt in …
[HTML][HTML] pLoc-mEuk: Predict subcellular localization of multi-label eukaryotic proteins by extracting the key GO information into general PseAAC
X Cheng, X Xiao, KC Chou - Genomics, 2018 - Elsevier
Many efforts have been made in predicting the subcellular localization of eukaryotic
proteins, but most of the existing methods have the following two limitations:(1) their …
proteins, but most of the existing methods have the following two limitations:(1) their …
iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach
B Liu, K Li, DS Huang, KC Chou - Bioinformatics, 2018 - academic.oup.com
Motivation Identification of enhancers and their strength is important because they play a
critical role in controlling gene expression. Although some bioinformatics tools were …
critical role in controlling gene expression. Although some bioinformatics tools were …
iRNA (m6A)-PseDNC: identifying N6-methyladenosine sites using pseudo dinucleotide composition
As a prevalent post-transcriptional modification, N 6-methyladenosine (m 6 A) plays key
roles in a series of biological processes. Although experimental technologies have been …
roles in a series of biological processes. Although experimental technologies have been …