Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening
S Basith, B Manavalan, T Hwan Shin… - Medicinal research …, 2020 - Wiley Online Library
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) …
A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction
Human leukocyte antigen class I (HLA-I) molecules are encoded by major histocompatibility
complex (MHC) class I loci in humans. The binding and interaction between HLA-I …
complex (MHC) class I loci in humans. The binding and interaction between HLA-I …
An interpretable prediction model for identifying N7-methylguanosine sites based on XGBoost and SHAP
Recent studies have increasingly shown that the chemical modification of mRNA plays an
important role in the regulation of gene expression. N 7-methylguanosine (m7G) is a type of …
important role in the regulation of gene expression. N 7-methylguanosine (m7G) is a type of …
DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites
Q Liu, J Chen, Y Wang, S Li, C Jia… - Briefings in …, 2021 - academic.oup.com
Abstract DNA N4-methylcytosine (4mC) is an important epigenetic modification that plays a
vital role in regulating DNA replication and expression. However, it is challenging to detect …
vital role in regulating DNA replication and expression. However, it is challenging to detect …
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites
Motivation Proteases are enzymes that cleave target substrate proteins by catalyzing the
hydrolysis of peptide bonds between specific amino acids. While the functional proteolysis …
hydrolysis of peptide bonds between specific amino acids. While the functional proteolysis …
[HTML][HTML] Structure, application, and biochemistry of microbial keratinases
Q Li - Frontiers in Microbiology, 2021 - frontiersin.org
Keratinases belong to a class of proteases that are able to degrade keratins into amino
acids. Microbial keratinases play important roles in turning keratin-containing wastes into …
acids. Microbial keratinases play important roles in turning keratin-containing wastes into …
MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters
Motivation Promoters are short DNA consensus sequences that are localized proximal to the
transcription start sites of genes, allowing transcription initiation of particular genes …
transcription start sites of genes, allowing transcription initiation of particular genes …
iPhosH-PseAAC: Identify phosphohistidine sites in proteins by blending statistical moments and position relative features according to the Chou's 5-step rule and …
Protein phosphorylation is one of the key mechanism in prokaryotes and eukaryotes and is
responsible for various biological functions such as protein degradation, intracellular …
responsible for various biological functions such as protein degradation, intracellular …
Procleave: predicting protease-specific substrate cleavage sites by combining sequence and structural information
Proteases are enzymes that cleave and hydrolyse the peptide bonds between two specific
amino acid residues of target substrate proteins. Protease-controlled proteolysis plays a key …
amino acid residues of target substrate proteins. Protease-controlled proteolysis plays a key …
iGluK-Deep: computational identification of lysine glutarylation sites using deep neural networks with general pseudo amino acid compositions
Lysine glutarylation is a post-translation modification which plays an important regulatory
role in a variety of physiological and enzymatic processes including mitochondrial functions …
role in a variety of physiological and enzymatic processes including mitochondrial functions …