Research graph
References from ACVPICPred: Inhibitory activity prediction of anti-coronavirus peptides based on artificial neural network. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1080/21645515.2020.1797369
10.1080/21645515.2020.1797369 · External reference
10.1007/978-1-0716-0900-2_1
10.1007/978-1-0716-0900-2_1 · External reference
Coronaviruses and SARS-COV-2
10.3906/sag-2004-127 · 2020 · External reference
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10.1038/nrd.2015.37
10.1038/nrd.2015.37 · External reference
The development of COVID-19 treatment
10.3389/fimmu.2023.1125246 · 2023 · External reference
10.1038/s41467-020-17665-9
10.1038/s41467-020-17665-9 · External reference
10.1517/13543770802609384
10.1517/13543770802609384 · External reference
Effect of convalescent plasma therapy on time to clinical improvement in patients with severe and life-threatening COVID-19: a randomized clinical trial
10.1001/jama.2020.10044 · 2020 · External reference
A systematic review of lopinavir therapy for SARS coronavirus and MERS coronavirus-a possible reference for coronavirus disease-19 treatment option
10.1002/jmv.25729 · 2020 · External reference
10.1038/s41586-020-2423-5
10.1038/s41586-020-2423-5 · External reference
10.1016/j.ijid.2020.11.142
10.1016/j.ijid.2020.11.142 · External reference
10.1016/j.crmicr.2023.100208
10.1016/j.crmicr.2023.100208 · External reference
10.1016/j.ejps.2022.106363
10.1016/j.ejps.2022.106363 · External reference
10.1016/j.chom.2021.06.008
10.1016/j.chom.2021.06.008 · External reference
Upregulating human cathelicidin antimicrobial peptide LL-37 expression may prevent severe COVID-19 inflammatory responses and reduce microthrombosis
10.3389/fimmu.2022.880961 · 2022 · External reference
Virucidal activity of a scorpion venom peptide variant mucroporin-M1 against measles, SARS-CoV and influenza H5N1 viruses
10.1016/j.peptides.2011.05.015 · 2011 · External reference
10.1038/ncomms4067
10.1038/ncomms4067 · External reference
10.1126/sciadv.aav4580
10.1126/sciadv.aav4580 · External reference
CD47Binder: identify CD47 binding peptides by combining next-generation phage display data and multiple peptide descriptors
2023 · External reference
PDL1Binder: identifying programmed cell death ligand 1 binding peptides by incorporating next-generation phage display data and different peptide descriptors
10.3389/fmicb.2022.928774 · 2022 · External reference
AntiDMPpred: a web service for identifying anti-diabetic peptides
10.7717/peerj.13581 · 2022 · External reference
10.1038/s41467-023-42940-w
10.1038/s41467-023-42940-w · External reference
Discovering de novo peptide substrates for enzymes using machine learning
10.1038/s41467-018-07717-6 · 2018 · External reference
10.1016/j.cell.2022.07.019
10.1016/j.cell.2022.07.019 · External reference
Identifying anti-coronavirus peptides by incorporating different negative datasets and imbalanced learning strategies
10.1093/bib/bbaa423 · 2021 · External reference
iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model
10.1093/bib/bbac265 · 2022 · External reference
A database of anti-coronavirus peptides
10.1038/s41597-022-01394-3 · 2022 · External reference
dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data
10.1093/nar/gkab1080 · 2022 · External reference
Accurate structure prediction of biomolecular interactions with AlphaFold 3
10.1038/s41586-024-07487-w · 2024 · External reference
Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features
10.1002/bip.360221211 · 1983 · External reference
Pseudo amino acid composition and its applications in bioinformatics, proteomics and system biology
10.2174/157016409789973707 · 2009 · External reference
iFeature: a python package and web server for features extraction and selection from protein and peptide sequences
10.1093/bioinformatics/bty140 · 2018 · External reference
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Unresolved reference
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Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification
10.1093/bib/bbaa312 · 2021 · External reference
Identifying DNA-binding proteins based on multi-features and LASSO feature selection
10.1002/bip.23419 · 2021 · External reference
Parameter selection in mutual information-based feature selection in automated diagnosis of multiple epilepsies using scalp EEG
2012 · External reference
Do feature selection methods for selecting environmental covariables enhance genomic prediction accuracy?
10.3389/fgene.2023.1209275 · 2023 · External reference
Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy
10.1109/tpami.2005.159 · 2005 · External reference
Regression shrinkage and selection via the lasso
10.1111/j.2517-6161.1996.tb02080.x · 2018 · External reference
10.1093/bioinformatics/btaa046
10.1093/bioinformatics/btaa046 · External reference
ENNAVIA is a novel method which employs neural networks for antiviral and anti-coronavirus activity prediction for therapeutic peptides
10.1093/bib/bbab258 · 2021 · External reference
ACP-dnnel: anti-coronavirus peptides' prediction based on deep neural network ensemble learning
10.1007/s00726-023-03300-6 · 2023 · External reference
AVP-IC50 pred: multiple machine learning techniques-based prediction of peptide antiviral activity in terms of half maximal inhibitory concentration (IC50)
10.1002/bip.22703 · 2015 · External reference
10.1016/j.jcv.2022.105246
10.1016/j.jcv.2022.105246 · External reference
10.1007/s00521-023-08957-4
10.1007/s00521-023-08957-4 · External reference
