Integrating transformer and imbalanced multi-label learning to identify antimicrobial peptides and their functional activities
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Title
Integrating transformer and imbalanced multi-label learning to identify antimicrobial peptides and their functional activities
Authors
Keywords
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Journal
BIOINFORMATICS
Volume 38, Issue 24, Pages 5368-5374
Publisher
Oxford University Press (OUP)
Online
2022-11-03
DOI
10.1093/bioinformatics/btac711
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- (2021) Jennie H. Kwon et al. SCIENCE
- Antimicrobial Peptides: A Potent Alternative to Antibiotics
- (2021) Mariam Rima et al. Antibiotics-Basel
- dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data
- (2021) Jhih-Hua Jhong et al. NUCLEIC ACIDS RESEARCH
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- UniProt: the universal protein knowledgebase in 2021
- (2020) et al. NUCLEIC ACIDS RESEARCH
- Machine-learning-guided directed evolution for protein engineering
- (2019) Kevin K. Yang et al. NATURE METHODS
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- (2018) Changxuan Shao et al. Acta Biomaterialia
- Deep learning improves antimicrobial peptide recognition
- (2018) Daniel Veltri et al. BIOINFORMATICS
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- (2018) Piyush Agrawal et al. Frontiers in Microbiology
- Antimicrobial Peptides As Biologic and Immunotherapeutic Agents against Cancer: A Comprehensive Overview
- (2017) Raheleh Roudi et al. Frontiers in Immunology
- Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s general PseAAC
- (2017) Prabina Kumar Meher et al. Scientific Reports
- Imbalanced multi-label learning for identifying antimicrobial peptides and their functional types
- (2016) Weizhong Lin et al. BIOINFORMATICS
- Antimicrobial Peptides: An Emerging Category of Therapeutic Agents
- (2016) Margit Mahlapuu et al. Frontiers in Cellular and Infection Microbiology
- iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach
- (2015) Xuan Xiao et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- CancerPPD: a database of anticancer peptides and proteins
- (2014) Atul Tyagi et al. NUCLEIC ACIDS RESEARCH
- Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides
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- (2013) Abid Qureshi et al. NUCLEIC ACIDS RESEARCH
- ClassAMP: A Prediction Tool for Classification of Antimicrobial Peptides
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- Cathelicidins: family of antimicrobial peptides. A review
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- (2011) Kay H. Brodersen et al. PLoS Computational Biology
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- The Skill Plot: A Graphical Technique for Evaluating Continuous Diagnostic Tests
- (2008) William M. Briggs et al. BIOMETRICS
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