NeuroPred-CLQ: incorporating deep temporal convolutional networks and multi-head attention mechanism to predict neuropeptides
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
NeuroPred-CLQ: incorporating deep temporal convolutional networks and multi-head attention mechanism to predict neuropeptides
Authors
Keywords
-
Journal
BRIEFINGS IN BIOINFORMATICS
Volume 23, Issue 5, Pages -
Publisher
Oxford University Press (OUP)
Online
2022-08-22
DOI
10.1093/bib/bbac319
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- HCRNet: high-throughput circRNA-binding event identification from CLIP-seq data using deep temporal convolutional network
- (2022) Yuning Yang et al. BRIEFINGS IN BIOINFORMATICS
- Accelerating the discovery of antifungal peptides using deep temporal convolutional networks
- (2022) Vishakha Singh et al. BRIEFINGS IN BIOINFORMATICS
- A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information
- (2021) Nguyen Quoc Khanh Le et al. BRIEFINGS IN BIOINFORMATICS
- NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning
- (2021) Md Mehedi Hasan et al. BRIEFINGS IN BIOINFORMATICS
- Deep-ABPpred: identifying antibacterial peptides in protein sequences using bidirectional LSTM with word2vec
- (2021) Ritesh Sharma et al. BRIEFINGS IN BIOINFORMATICS
- ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism
- (2021) Lesong Wei et al. BRIEFINGS IN BIOINFORMATICS
- NeuroPpred-Fuse: an interpretable stacking model for prediction of neuropeptides by fusing sequence information and feature selection methods
- (2021) Mingming Jiang et al. BRIEFINGS IN BIOINFORMATICS
- A novel antibacterial peptide recognition algorithm based on BERT
- (2021) Yue Zhang et al. BRIEFINGS IN BIOINFORMATICS
- StaBle-ABPpred: a stacked ensemble predictor based on biLSTM and attention mechanism for accelerated discovery of antibacterial peptides
- (2021) Vishakha Singh et al. BRIEFINGS IN BIOINFORMATICS
- The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
- (2020) Davide Chicco et al. BMC GENOMICS
- HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
- (2020) Md Mehedi Hasan et al. BIOINFORMATICS
- Neuropeptide signalling systems – An underexplored target for venom drug discovery
- (2020) Helen C. Mendel et al. BIOCHEMICAL PHARMACOLOGY
- Prediction of Neuropeptides from Sequence Information Using Ensemble Classifier and Hybrid Features
- (2020) Yannan Bin et al. JOURNAL OF PROTEOME RESEARCH
- DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides
- (2020) Jiawei Li et al. IEEE Journal of Biomedical and Health Informatics
- DeepACP: A Novel Computational Approach for Accurate Identification of Anticancer Peptides by Deep Learning Algorithm
- (2020) Lezheng Yu et al. Molecular Therapy-Nucleic Acids
- ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation
- (2020) Lijun Cai et al. BRIEFINGS IN BIOINFORMATICS
- iDMer: an integrative and mechanism-driven response system for identifying compound interventions for sudden virus outbreak
- (2020) Zhiting Wei et al. BRIEFINGS IN BIOINFORMATICS
- Recent advances in neuropeptide signaling in Drosophila, from genes to physiology and behavior
- (2019) Dick R. Nässel et al. PROGRESS IN NEUROBIOLOGY
- G-DipC: An Improved Feature Representation Method for Short Sequences to Predict the Type of Cargo in Cell-Penetrating Peptides
- (2019) Shunfang Wang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features
- (2018) David T Jones et al. BIOINFORMATICS
- Mass spectrometric evidence for neuropeptide-amidating enzymes inCaenorhabditis elegans
- (2018) Sven Van Bael et al. JOURNAL OF BIOLOGICAL CHEMISTRY
- mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation
- (2018) Balachandran Manavalan et al. BIOINFORMATICS
- Identifying antimicrobial peptides using word embedding with deep recurrent neural networks
- (2018) Md-Nafiz Hamid et al. BIOINFORMATICS
- Neuropeptides and Microglial Activation in Inflammation, Pain, and Neurodegenerative Diseases
- (2017) Lila Carniglia et al. MEDIATORS OF INFLAMMATION
- Visual Cortex Inspired CNN Model for Feature Construction in Text Analysis
- (2016) Hongping Fu et al. Frontiers in Computational Neuroscience
- Analytic framework for peptidomics applied to large-scale neuropeptide identification
- (2016) Anna Secher et al. Nature Communications
- Effects of drugs of abuse on the central neuropeptide Y system
- (2015) Joana Gonçalves et al. ADDICTION BIOLOGY
- NeuroPep: a comprehensive resource of neuropeptides
- (2015) Y. Wang et al. Database-The Journal of Biological Databases and Curation
- Role of neuropeptides in anxiety, stress, and depression: From animals to humans
- (2013) Viktória Kormos et al. NEUROPEPTIDES
- CD-HIT: accelerated for clustering the next-generation sequencing data
- (2012) Limin Fu et al. BIOINFORMATICS
- NeuroPedia: neuropeptide database and spectral library
- (2011) Yoona Kim et al. BIOINFORMATICS
- Neuropeptides from concept to online database www.neuropeptides.nl
- (2009) J. Peter H. Burbach EUROPEAN JOURNAL OF PHARMACOLOGY
- Antimicrobial activity of neuropeptides against a range of micro-organisms from skin, oral, respiratory and gastrointestinal tract sites
- (2008) Ikhlas A. El Karim et al. JOURNAL OF NEUROIMMUNOLOGY
- Peptidomics: The integrated approach of MS, hyphenated techniques and bioinformatics for neuropeptide analysis
- (2008) Kurt Boonen et al. JOURNAL OF SEPARATION SCIENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started