HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
Motivation Therapeutic peptides failing at clinical trials could be attributed to their toxicity
profiles like hemolytic activity, which hamper further progress of peptides as drug …
profiles like hemolytic activity, which hamper further progress of peptides as drug …
Critical evaluation of web-based DNA N6-methyladenine site prediction tools
MM Hasan, W Shoombuatong, H Kurata… - Briefings in …, 2021 - academic.oup.com
Methylation of DNA N6-methyladenosine (6mA) is a type of epigenetic modification that
plays pivotal roles in various biological processes. The accurate genome-wide identification …
plays pivotal roles in various biological processes. The accurate genome-wide identification …
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework
Origins of replication sites (ORIs), which refers to the initiative locations of genomic DNA
replication, play essential roles in DNA replication process. Detection of ORIs' distribution in …
replication, play essential roles in DNA replication process. Detection of ORIs' distribution in …
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 …
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins
Thermophilic proteins (TPPs) are important in the field of protein biochemistry and
development of new enzymes. Thus, computational methods must be urgently developed to …
development of new enzymes. Thus, computational methods must be urgently developed to …
Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2
Abstract Coronavirus disease 2019 (COVID-19) has impacted public health as well as
societal and economic well-being. In the last two decades, various prediction algorithms and …
societal and economic well-being. In the last two decades, various prediction algorithms and …
A computational platform to identify origins of replication sites in eukaryotes
The locations of the initiation of genomic DNA replication are defined as origins of
replication sites (ORIs), which regulate the onset of DNA replication and play significant …
replication sites (ORIs), which regulate the onset of DNA replication and play significant …
StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides
The development of efficient and effective bioinformatics tools and pipelines for identifying
peptides with dipeptidyl peptidase IV (DPP-IV) inhibitory activities from large-scale protein …
peptides with dipeptidyl peptidase IV (DPP-IV) inhibitory activities from large-scale protein …
Identification of sub-Golgi protein localization by use of deep representation learning features
Abstract Motivation The Golgi apparatus has a key functional role in protein biosynthesis
within the eukaryotic cell with malfunction resulting in various neurodegenerative diseases …
within the eukaryotic cell with malfunction resulting in various neurodegenerative diseases …
i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation
Abstract DNA N 6-methyladenine (6 mA) is one of the most vital epigenetic modifications
and involved in controlling the various gene expression levels. With the avalanche of DNA …
and involved in controlling the various gene expression levels. With the avalanche of DNA …