[HTML][HTML] Machine learning and internet of things in industry 4.0: A review
Abstract Machine learning (ML), sensors networks, and Internet of Things (IoT) are the most
important contributor in the newest revolution in the industry. It is going towards a fully …
important contributor in the newest revolution in the industry. It is going towards a fully …
Bioinformatics of metalloproteins and metalloproteomes
Y Zhang, J Zheng - Molecules, 2020 - mdpi.com
Trace metals are inorganic elements that are required for all organisms in very low
quantities. They serve as cofactors and activators of metalloproteins involved in a variety of …
quantities. They serve as cofactors and activators of metalloproteins involved in a variety of …
PVP-SVM: sequence-based prediction of phage virion proteins using a support vector machine
Accurately identifying bacteriophage virion proteins from uncharacterized sequences is
important to understand interactions between the phage and its host bacteria in order to …
important to understand interactions between the phage and its host bacteria in order to …
PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework
Determining the catalytic residues in an enzyme is critical to our understanding the
relationship between protein sequence, structure, function, and enhancing our ability to …
relationship between protein sequence, structure, function, and enhancing our ability to …
DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest
DNase I hypersensitive sites (DHSs) are genomic regions that provide important information
regarding the presence of transcriptional regulatory elements and the state of chromatin …
regarding the presence of transcriptional regulatory elements and the state of chromatin …
Accurate in silico identification of species-specific acetylation sites by integrating protein sequence-derived and functional features
Lysine acetylation is a reversible post-translational modification, playing an important role in
cytokine signaling, transcriptional regulation and apoptosis. To fully understand acetylation …
cytokine signaling, transcriptional regulation and apoptosis. To fully understand acetylation …
Trace elements and healthcare: a bioinformatics perspective
Y Zhang - Translational Informatics in Smart Healthcare, 2017 - Springer
Biological trace elements are essential for human health. Imbalance in trace element
metabolism and homeostasis may play an important role in a variety of diseases and …
metabolism and homeostasis may play an important role in a variety of diseases and …
ZincExplorer: an accurate hybrid method to improve the prediction of zinc-binding sites from protein sequences
As one of the most important trace elements within an organism, zinc has been shown to be
involved in numerous biological processes and closely implicated in various diseases. The …
involved in numerous biological processes and closely implicated in various diseases. The …
A Comprehensive Review of Computation‐Based Metal‐Binding Prediction Approaches at the Residue Level
N Ye, F Zhou, X Liang, H Chai, J Fan… - BioMed research …, 2022 - Wiley Online Library
Clear evidence has shown that metal ions strongly connect and delicately tune the dynamic
homeostasis in living bodies. They have been proved to be associated with protein structure …
homeostasis in living bodies. They have been proved to be associated with protein structure …
Zincbindpredict—prediction of zinc binding sites in proteins
Background: Zinc binding proteins make up a significant proportion of the proteomes of most
organisms and, within those proteins, zinc performs rôles in catalysis and structure …
organisms and, within those proteins, zinc performs rôles in catalysis and structure …