AIPs-SnTCN: Predicting anti-inflammatory peptides using fastText and transformer encoder-based hybrid word embedding with self-normalized temporal …
Inflammation is a biologically resistant response to harmful stimuli, such as infection,
damaged cells, toxic chemicals, or tissue injuries. Its purpose is to eradicate pathogenic …
damaged cells, toxic chemicals, or tissue injuries. Its purpose is to eradicate pathogenic …
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 …
cACP-DeepGram: classification of anticancer peptides via deep neural network and skip-gram-based word embedding model
Cancer is a Toxic health concern worldwide, it happens when cellular modifications cause
the irregular growth and division of human cells. Several traditional approaches such as …
the irregular growth and division of human cells. Several traditional approaches such as …
A review of discovery profiling of PIWI-interacting RNAs and their diverse functions in metazoans
S Huang, K Yoshitake, S Asakawa - International Journal of Molecular …, 2021 - mdpi.com
PIWI-interacting RNAs (piRNAs) are a class of small non-coding RNAs (sncRNAs) that
perform crucial biological functions in metazoans and defend against transposable elements …
perform crucial biological functions in metazoans and defend against transposable elements …
Non-coding RNAs (ncRNAs) in plants: Master regulators for adapting to extreme temperature conditions
Unusual daily temperature fluctuations caused by climate change and climate variability
adversely impact agricultural crop production. Since plants are immobile and constantly …
adversely impact agricultural crop production. Since plants are immobile and constantly …
Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks
World widely, Fungal infections have become a serious issue for human beings. Fungal
infections normally happen once invading fungus appear on a specific area of the body and …
infections normally happen once invading fungus appear on a specific area of the body and …
iHBP-DeepPSSM: Identifying hormone binding proteins using PsePSSM based evolutionary features and deep learning approach
Hormone binding proteins (HBPs) are soluble carrier proteins that can non-covalently and
selectively interact with the human hormone. HBPs plays a significant role in human life, but …
selectively interact with the human hormone. HBPs plays a significant role in human life, but …
PSSM-Sumo: deep learning based intelligent model for prediction of sumoylation sites using discriminative features
Post-translational modifications (PTMs) are fundamental to essential biological processes,
exerting significant influence over gene expression, protein localization, stability, and …
exerting significant influence over gene expression, protein localization, stability, and …
Optimized feature learning for anti-inflammatory peptide prediction using parallel distributed computing
With recent advancements in computational biology, high throughput Next-Generation
Sequencing (NGS) has become a de facto standard technology for gene expression studies …
Sequencing (NGS) has become a de facto standard technology for gene expression studies …
Identification of functional piRNAs using a convolutional neural network
Piwi-interacting RNAs (piRNAs) are a distinct sub-class of small non-coding RNAs that are
mainly responsible for germline stem cell maintenance, gene stability, and maintaining …
mainly responsible for germline stem cell maintenance, gene stability, and maintaining …