Prediction of bio-sequence modifications and the associations with diseases
C Ao, L Yu, Q Zou - Briefings in Functional Genomics, 2021 - academic.oup.com
Modifications of protein, RNA and DNA play an important role in many biological processes
and are related to some diseases. Therefore, accurate identification and comprehensive …
and are related to some diseases. Therefore, accurate identification and comprehensive …
Advances in predicting subcellular localization of multi-label proteins and its implication for developing multi-target drugs
KC Chou - Current medicinal chemistry, 2019 - ingentaconnect.com
The smallest unit of life is a cell, which contains numerous protein molecules. Most of the
functions critical to the cell's survival are performed by these proteins located in its different …
functions critical to the cell's survival are performed by these proteins located in its different …
Machine learning in enzyme engineering
Enzyme engineering plays a central role in developing efficient biocatalysts for
biotechnology, biomedicine, and life sciences. Apart from classical rational design and …
biotechnology, biomedicine, and life sciences. Apart from classical rational design and …
Development of machine learning model for diagnostic disease prediction based on laboratory tests
DJ Park, MW Park, H Lee, YJ Kim, Y Kim, YH Park - Scientific reports, 2021 - nature.com
The use of deep learning and machine learning (ML) in medical science is increasing,
particularly in the visual, audio, and language data fields. We aimed to build a new …
particularly in the visual, audio, and language data fields. We aimed to build a new …
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation
Motivation Cardiovascular disease is the primary cause of death globally accounting for
approximately 17.7 million deaths per year. One of the stakes linked with cardiovascular …
approximately 17.7 million deaths per year. One of the stakes linked with cardiovascular …
Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method
As a newly discovered protein posttranslational modification, histone lysine crotonylation
(Kcr) involved in cellular regulation and human diseases. Various proteomics technologies …
(Kcr) involved in cellular regulation and human diseases. Various proteomics technologies …
Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine …
Abstract DNA N 6-methyladenine (6mA) represents important epigenetic modifications,
which are responsible for various cellular processes. The accurate identification of 6mA sites …
which are responsible for various cellular processes. The accurate identification of 6mA sites …
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 …
SDM6A: a web-based integrative machine-learning framework for predicting 6mA sites in the rice genome
DNA N 6-adenine methylation (6mA) is an epigenetic modification in prokaryotes and
eukaryotes. Identifying 6mA sites in rice genome is important in rice epigenetics and …
eukaryotes. Identifying 6mA sites in rice genome is important in rice epigenetics and …
Learning epistasis and residue coevolution patterns: Current trends and future perspectives for advancing enzyme engineering
Engineering proteins and enzymes with the desired functionality has broad applications in
molecular biology, biotechnology, biomedical sciences, health, and medicine. The vastness …
molecular biology, biotechnology, biomedical sciences, health, and medicine. The vastness …