Transformer-based deep learning for predicting protein properties in the life sciences
Recent developments in deep learning, coupled with an increasing number of sequenced
proteins, have led to a breakthrough in life science applications, in particular in protein …
proteins, have led to a breakthrough in life science applications, in particular in protein …
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 …
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 …
iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC
B Liu, F Yang, DS Huang, KC Chou - Bioinformatics, 2018 - academic.oup.com
Motivation Being responsible for initiating transaction of a particular gene in genome,
promoter is a short region of DNA. Promoters have various types with different functions …
promoter is a short region of DNA. Promoters have various types with different 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 …
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 …
iRNA-PseU: Identifying RNA pseudouridine sites
As the most abundant RNA modification, pseudouridine plays important roles in many
biological processes. Occurring at the uridine site and catalyzed by pseudouridine synthase …
biological processes. Occurring at the uridine site and catalyzed by pseudouridine synthase …
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 **ao, 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 …