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Revealing protein–lncRNA interaction
Long non-coding RNAs (lncRNAs) are associated to a plethora of cellular functions, most of
which require the interaction with one or more RNA-binding proteins (RBPs); similarly, RBPs …
which require the interaction with one or more RNA-binding proteins (RBPs); similarly, RBPs …
Positive-unlabeled learning in bioinformatics and computational biology: a brief review
Conventional supervised binary classification algorithms have been widely applied to
address significant research questions using biological and biomedical data. This …
address significant research questions using biological and biomedical data. This …
Benchmarks in antimicrobial peptide prediction are biased due to the selection of negative data
Antimicrobial peptides (AMPs) are a heterogeneous group of short polypeptides that target
not only microorganisms but also viruses and cancer cells. Due to their lower selection for …
not only microorganisms but also viruses and cancer cells. Due to their lower selection for …
IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction
Abstract Background Non-coding RNAs (ncRNAs) play crucial roles in many biological
processes, such as post-transcription of gene regulation. ncRNAs mainly function through …
processes, such as post-transcription of gene regulation. ncRNAs mainly function through …
Long noncoding RNA: a crosslink in biological regulatory network
Y Zhang, Y Tao, Q Liao - Briefings in bioinformatics, 2018 - academic.oup.com
Long noncoding RNAs (lncRNAs) had been defined as a novel class of functional RNAs
longer than 200 nucleotides around a decade ago. It is widely acknowledged that lncRNAs …
longer than 200 nucleotides around a decade ago. It is widely acknowledged that lncRNAs …
Positive-unlabeled learning identifies vaccine candidate antigens in the malaria parasite Plasmodium falciparum
Malaria vaccine development is hampered by extensive antigenic variation and complex life
stages of Plasmodium species. Vaccine development has focused on a small number of …
stages of Plasmodium species. Vaccine development has focused on a small number of …
RBPPred: predicting RNA-binding proteins from sequence using SVM
X Zhang, S Liu - Bioinformatics, 2017 - academic.oup.com
Motivation Detection of RNA-binding proteins (RBPs) is essential since the RNA-binding
proteins play critical roles in post-transcriptional regulation and have diverse roles in various …
proteins play critical roles in post-transcriptional regulation and have diverse roles in various …
Recent methodology progress of deep learning for RNA–protein interaction prediction
Interactions between RNAs and proteins play essential roles in many important biological
processes. Benefitting from the advances of next generation sequencing technologies …
processes. Benefitting from the advances of next generation sequencing technologies …
[HTML][HTML] Computational prediction of RNA-binding proteins and binding sites
J Si, J Cui, J Cheng, R Wu - International journal of molecular sciences, 2015 - mdpi.com
Proteins and RNA interaction have vital roles in many cellular processes such as protein
synthesis, sequence encoding, RNA transfer, and gene regulation at the transcriptional and …
synthesis, sequence encoding, RNA transfer, and gene regulation at the transcriptional and …
Roles of emerging RNA-binding activity of cGAS in innate antiviral response
Y Ma, X Wang, W Luo, J **ao, X Song, Y Wang… - Frontiers in …, 2021 - frontiersin.org
cGAS, a DNA sensor in mammalian cells, catalyzes the generation of 2'-3'-cyclic AMP-GMP
(cGAMP) once activated by the binding of free DNA. cGAMP can bind to STING, activating …
(cGAMP) once activated by the binding of free DNA. cGAMP can bind to STING, activating …