Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening
Discovery and development of biopeptides are time‐consuming, laborious, and dependent
on various factors. Data‐driven computational methods, especially machine learning (ML) …
on various factors. Data‐driven computational methods, especially machine learning (ML) …
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
Although the therapeutic efficacy and commercial success of monoclonal antibodies (mAbs)
are tremendous, the design and discovery of new candidates remain a time and cost …
are tremendous, the design and discovery of new candidates remain a time and cost …
Designing a multi-epitope vaccine against SARS-CoV-2: an immunoinformatics approach
Ongoing COVID-19 outbreak has raised a drastic challenge to global public health security.
Most of the patients with COVID-19 suffer from mild flu-like illnesses such as cold and fever; …
Most of the patients with COVID-19 suffer from mild flu-like illnesses such as cold and fever; …
Meta-4mCpred: a sequence-based meta-predictor for accurate DNA 4mC site prediction using effective feature representation
DNA N4-methylcytosine (4mC) is an important genetic modification and plays crucial roles in
differentiation between self and non-self DNA and in controlling DNA replication, cell cycle …
differentiation between self and non-self DNA and in controlling DNA replication, cell cycle …
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides
P Charoenkwan, W Chiangjong… - Briefings in …, 2021 - academic.oup.com
The release of interleukin (IL)-6 is stimulated by antigenic peptides from pathogens as well
as by immune cells for activating aggressive inflammation. IL-6 inducing peptides are …
as by immune cells for activating aggressive inflammation. IL-6 inducing peptides are …
iUmami-SCM: a novel sequence-based predictor for prediction and analysis of umami peptides using a scoring card method with propensity scores of dipeptides
Umami or the taste of monosodium glutamate represents one of the major attractive taste
modalities in humans. Therefore, knowledge about biophysical and biochemical properties …
modalities in humans. Therefore, knowledge about biophysical and biochemical properties …
Designing of a multi-epitope vaccine against the structural proteins of marburg virus exploiting the immunoinformatics approach
Marburg virus disease (MVD) caused by the Marburg virus (MARV) generally appears with
flu-like symptoms and leads to severe hemorrhagic fever. It spreads via direct contact with …
flu-like symptoms and leads to severe hemorrhagic fever. It spreads via direct contact with …
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 …
mACPpred: a support vector machine-based meta-predictor for identification of anticancer peptides
Anticancer peptides (ACPs) are promising therapeutic agents for targeting and killing cancer
cells. The accurate prediction of ACPs from given peptide sequences remains as an open …
cells. The accurate prediction of ACPs from given peptide sequences remains as an open …
Design powerful predictor for mRNA subcellular location prediction in Homo sapiens
Messenger RNAs (mRNAs) shoulder special responsibilities that transmit genetic code from
DNA to discrete locations in the cytoplasm. The locating process of mRNA might provide …
DNA to discrete locations in the cytoplasm. The locating process of mRNA might provide …