PAtbP-EnC: Identifying anti-tubercular peptides using multi-feature representation and genetic algorithm-based deep ensemble model
Mycobacterium tuberculosis, a highly perilous pathogen in humans, serves as the causative
agent of tuberculosis (TB), affecting nearly 33% of the global population. With the increasing …
agent of tuberculosis (TB), affecting nearly 33% of the global population. With the increasing …
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 …
A treatise to computational approaches towards prediction of membrane protein and its subtypes
Membrane proteins are vital mediating molecules responsible for the interaction of a cell
with its surroundings. These proteins are involved in different functionalities such as ferrying …
with its surroundings. These proteins are involved in different functionalities such as ferrying …
Identification of membrane protein types via multivariate information fusion with Hilbert–Schmidt independence criterion
Membrane proteins perform a variety of functions vital to the survival of organisms, such as
oxidoreductase, transferase or hydrolase. If the type of membrane protein can be detected …
oxidoreductase, transferase or hydrolase. If the type of membrane protein can be detected …
Prediction of antiviral peptides using transform evolutionary & SHAP analysis based descriptors by incorporation with ensemble learning strategy
Viral diseases are a major health concern in the last few years. Antiviral peptides (AVPs)
belong to a type of antimicrobial peptides (AMPs) that have the high potential to defend the …
belong to a type of antimicrobial peptides (AMPs) that have the high potential to defend the …
iMethyl-STTNC: Identification of N6-methyladenosine sites by extending the idea of SAAC into Chou's PseAAC to formulate RNA sequences
Abstract N 6-methyladenosine (m 6 A) is a vital post-transcriptional modification, which adds
another layer of epigenetic regulation at RNA level. It chemically modifies mRNA that effects …
another layer of epigenetic regulation at RNA level. It chemically modifies mRNA that effects …
Predicting membrane protein types using various decision tree classifiers based on various modes of general PseAAC for imbalanced datasets
ES Sankari, D Manimegalai - Journal of theoretical biology, 2017 - Elsevier
Predicting membrane protein types is an important and challenging research area in
bioinformatics and proteomics. Traditional biophysical methods are used to classify …
bioinformatics and proteomics. Traditional biophysical methods are used to classify …
iACP-GAEnsC: Evolutionary genetic algorithm based ensemble classification of anticancer peptides by utilizing hybrid feature space
Cancer is a fatal disease, responsible for one-quarter of all deaths in developed countries.
Traditional anticancer therapies such as, chemotherapy and radiation, are highly expensive …
Traditional anticancer therapies such as, chemotherapy and radiation, are highly expensive …
iMem-2LSAAC: a two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into Chou's pseudo amino acid …
Membrane proteins execute significant roles in cellular processes of living organisms,
ranging from cell signaling to cell adhesion. As a major part of a cell, the identification of …
ranging from cell signaling to cell adhesion. As a major part of a cell, the identification of …