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iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization
Motivation DNA methylation plays an important role in epigenetic modification, the
occurrence, and the development of diseases. Therefore, identification of DNA methylation …
occurrence, and the development of diseases. Therefore, identification of DNA methylation …
PUResNet: prediction of protein-ligand binding sites using deep residual neural network
Background Predicting protein-ligand binding sites is a fundamental step in understanding
the functional characteristics of proteins, which plays a vital role in elucidating different …
the functional characteristics of proteins, which plays a vital role in elucidating different …
ncRDeep: Non-coding RNA classification with convolutional neural network
A non-coding RNA (ncRNA) is a kind of RNA that is not converted into protein, however, it is
involved in many biological processes, diseases, and cancers. Numerous ncRNAs have …
involved in many biological processes, diseases, and cancers. Numerous ncRNAs have …
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 …
iDNA-OpenPrompt: OpenPrompt learning model for identifying DNA methylation
Introduction: DNA methylation is a critical epigenetic modification involving the addition of a
methyl group to the DNA molecule, playing a key role in regulating gene expression without …
methyl group to the DNA molecule, playing a key role in regulating gene expression without …
C-loss based higher order fuzzy inference systems for identifying DNA N4-methylcytosine sites
DNA methylation is an epigenetic marker that plays an important role in the biological
processes of regulating gene expression, maintaining chromatin structure, imprinting genes …
processes of regulating gene expression, maintaining chromatin structure, imprinting genes …
[HTML][HTML] CSatDTA: prediction of drug–target binding affinity using convolution model with self-attention
Drug discovery, which aids to identify potential novel treatments, entails a broad range of
fields of science, including chemistry, pharmacology, and biology. In the early stages of drug …
fields of science, including chemistry, pharmacology, and biology. In the early stages of drug …
[HTML][HTML] A robust drug–target interaction prediction framework with capsule network and transfer learning
Drug–target interactions (DTIs) are considered a crucial component of drug design and drug
discovery. To date, many computational methods were developed for drug–target …
discovery. To date, many computational methods were developed for drug–target …
A deep multiple kernel learning-based higher-order fuzzy inference system for identifying DNA N4-methylcytosine sites
Abstract N4-methylcytosine (4mC), as a DNA modification, plays a crucial role in epigenetic
regulation. However, the existing experimentation methods for accurately identifying 4mC …
regulation. However, the existing experimentation methods for accurately identifying 4mC …
Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli
Abstract N4-methylcytosine (4mC) is a type of DNA modification which could regulate
several biological progressions such as transcription regulation, replication and gene …
several biological progressions such as transcription regulation, replication and gene …