The interplay of oxidative stress and ROS scavenging: antioxidants as a therapeutic potential in sepsis
Oxidative stress resulting from the disproportion of oxidants and antioxidants contributes to
both physiological and pathological conditions in sepsis. To combat this, the antioxidant …
both physiological and pathological conditions in sepsis. To combat this, the antioxidant …
Recent advances in machine learning-based models for prediction of antiviral peptides
Viruses have killed and infected millions of people across the world. It causes several
chronic diseases like COVID-19, HIV, and hepatitis. To cope with such diseases and virus …
chronic diseases like COVID-19, HIV, and hepatitis. To cope with such diseases and virus …
iAFPs-EnC-GA: identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach
Fungal infections have become a serious health concern for human beings worldwide.
Fungal infections usually occur when the invading fungus appear on a particular part of the …
Fungal infections usually occur when the invading fungus appear on a particular part of the …
iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model
Tuberculosis (TB) is a worldwide illness caused by the bacteria Mycobacterium tuberculosis.
Owing to the high prevalence of multidrug-resistant tuberculosis, numerous traditional …
Owing to the high prevalence of multidrug-resistant tuberculosis, numerous traditional …
StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning
Background Antioxidant proteins are involved in several biological processes and can
protect DNA and cells from the damage of free radicals. These proteins regulate the body's …
protect DNA and cells from the damage of free radicals. These proteins regulate the body's …
XGB-DrugPred: computational prediction of druggable proteins using eXtreme gradient boosting and optimized features set
Accurate identification of drug-targets in human body has great significance for designing
novel drugs. Compared with traditional experimental methods, prediction of drug-targets via …
novel drugs. Compared with traditional experimental methods, prediction of drug-targets via …
AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information
In extremely cold environments, living organisms like plants, animals, fishes, and microbes
can die due to the intracellular ice formation in their bodies. To sustain life in such cold …
can die due to the intracellular ice formation in their bodies. To sustain life in such cold …
DBP-CNN: Deep learning-based prediction of DNA-binding proteins by coupling discrete cosine transform with two-dimensional convolutional neural network
To improve the prediction of DNA-binding Proteins (DBPs), this paper presents a deep
learning-based method, named DBP-CNN. To efficiently extract the important features, we …
learning-based method, named DBP-CNN. To efficiently extract the important features, we …
AIPs-DeepEnC-GA: predicting anti-inflammatory peptides using embedded evolutionary and sequential feature integration with genetic algorithm based deep …
Inflammation is a biological response to harmful stimuli including infections, damaged cells,
tissue injuries, and toxic chemicals. It plays an essential role in facilitating tissue repair by …
tissue injuries, and toxic chemicals. It plays an essential role in facilitating tissue repair by …
AFP-SPTS: an accurate prediction of antifreeze proteins using sequential and pseudo-tri-slicing evolutionary features with an extremely randomized tree
The development of intracellular ice in the bodies of cold-blooded living organisms may
cause them to die. These species yield antifreeze proteins (AFPs) to live in subzero …
cause them to die. These species yield antifreeze proteins (AFPs) to live in subzero …