AIMC Topic: Protein Isoforms

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Geographic encoding of transcripts enabled high-accuracy and isoform-aware deep learning of RNA methylation.

Nucleic acids research Oct 14, 2022
As the most pervasive epigenetic mark present on mRNA and lncRNA, N6-methyladenosine (m6A) RNA methylation regulates all stages of RNA life in various biological processes and disease mechanisms. Computational methods for deciphering RNA modification...
Deep Learning RNA, Messenger RNA, Long Noncoding RNA Methylation Protein Isoforms 3' Untranslated Regions
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Uncovering tissue-specific binding features from differential deep learning.

Nucleic acids research Mar 18, 2020
Transcription factors (TFs) can bind DNA in a cooperative manner, enabling a mutual increase in occupancy. Through this type of interaction, alternative binding sites can be preferentially bound in different tissues to regulate tissue-specific expres...
Animals Deep Learning Protein Binding Mice Computational Biology Models, Genetic Poisson Distribution RNA High-Throughput Nucleotide Sequencing Embryo, Mammalian Organ Specificity Protein Isoforms Binding Sites Homeodomain Proteins Gene Expression Regulation, Developmental Chromatin Immunoprecipitation Branchial Region Myeloid Ecotropic Viral Integration Site 1 Protein
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DeepIsoFun: a deep domain adaptation approach to predict isoform functions.

Bioinformatics (Oxford, England) Aug 1, 2019
MOTIVATION: Isoforms are mRNAs produced from the same gene locus by alternative splicing and may have different functions. Although gene functions have been studied extensively, little is known about the specific functions of isoforms. Recently, some...
Humans Neural Networks, Computer Animals Deep Learning Mice Computational Biology Protein Isoforms Gene Ontology
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