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 …
Aptamers as promising nanotheranostic tools in the COVID‐19 pandemic era
CKO Dzuvor, EL Tettey… - Wiley Interdisciplinary …, 2022 - Wiley Online Library
The emergence of SARS‐COV‐2, the causative agent of new coronavirus disease (COVID‐
19) has become a pandemic threat. Early and precise detection of the virus is vital for …
19) has become a pandemic threat. Early and precise detection of the virus is vital for …
LncADeep: an ab initio lncRNA identification and functional annotation tool based on deep learning
C Yang, L Yang, M Zhou, H Xie, C Zhang… - …, 2018 - academic.oup.com
Motivation To characterize long non-coding RNAs (lncRNAs), both identifying and
functionally annotating them are essential to be addressed. Moreover, a comprehensive …
functionally annotating them are essential to be addressed. Moreover, a comprehensive …
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 …
LPI-BLS: Predicting lncRNA–protein interactions with a broad learning system-based stacked ensemble classifier
XN Fan, SW Zhang - Neurocomputing, 2019 - Elsevier
Many experiment results show that long non-coding RNAs (lncRNAs) play crucial roles in
many biological processes, implementing their functions through interaction with RNA …
many biological processes, implementing their functions through interaction with RNA …
[HTML][HTML] Capsule-LPI: a LncRNA–protein interaction predicting tool based on a capsule network
Abstract Background Long noncoding RNAs (lncRNAs) play important roles in multiple
biological processes. Identifying LncRNA–protein interactions (LPIs) is key to understanding …
biological processes. Identifying LncRNA–protein interactions (LPIs) is key to understanding …
[HTML][HTML] EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA–protein interaction prediction
J Wang, Y Zhao, W Gong, Y Liu, M Wang, X Huang… - BMC …, 2021 - Springer
Abstract Background Non-coding RNA (ncRNA) and protein interactions play essential roles
in various physiological and pathological processes. The experimental methods used for …
in various physiological and pathological processes. The experimental methods used for …
VIS/NIR imaging application for honey floral origin determination
Nondestructive methods are of utmost importance for honey characterization. This study
investigates the potential application of VIS-NIR hyperspectral imaging for detection of …
investigates the potential application of VIS-NIR hyperspectral imaging for detection of …
[HTML][HTML] Long noncoding RNA and protein interactions: from experimental results to computational models based on network methods
H Zhang, Y Liang, S Han, C Peng, Y Li - International journal of molecular …, 2019 - mdpi.com
Non-coding RNAs with a length of more than 200 nucleotides are long non-coding RNAs
(lncRNAs), which have gained tremendous attention in recent decades. Many studies have …
(lncRNAs), which have gained tremendous attention in recent decades. Many studies have …
Computational predictive approaches for interaction and structure of aptamers
Aptamers are short single-strand sequences that can bind to their specific targets with high
affinity and specificity. Usually, aptamers are selected experimentally via systematic …
affinity and specificity. Usually, aptamers are selected experimentally via systematic …