Antimicrobial peptide similarity and classification through rough set theory using physicochemical boundaries
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Antimicrobial peptide similarity and classification through rough set theory using physicochemical boundaries
Authors
Keywords
Antibacterial peptides, Classification, Machine learning, Physicochemical properties, Rough set theory, Sequence similarity, Supervised learning, Functional peptide search
Journal
BMC BIOINFORMATICS
Volume 19, Issue 1, Pages -
Publisher
Springer Nature
Online
2018-12-06
DOI
10.1186/s12859-018-2514-6
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The antimicrobial potential of a new derivative of cathelicidin from Bungarus fasciatus against methicillin-resistant Staphylococcus aureus
- (2018) Mercedeh Tajbakhsh et al. JOURNAL OF MICROBIOLOGY
- MoRFPred-plus: Computational Identification of MoRFs in Protein Sequences using Physicochemical Properties and HMM profiles
- (2018) Ronesh Sharma et al. JOURNAL OF THEORETICAL BIOLOGY
- AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest
- (2018) Pratiti Bhadra et al. Scientific Reports
- Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming
- (2017) Daniel Veltri et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- How should we respond to the emergence of plasmid-mediated colistin resistance in humans and animals?
- (2017) Jaffar A. Al-Tawfiq et al. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
- Antimicrobial activity predictors benchmarking analysis using shuffled and designed synthetic peptides
- (2017) William F. Porto et al. JOURNAL OF THEORETICAL BIOLOGY
- Evidence of an Antimicrobial Peptide Signature Encrypted in HECT E3 Ubiquitin Ligases
- (2017) Ivan Lavander Candido-Ferreira 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
- Computer-aided molecular design: An introduction and review of tools, applications, and solution techniques
- (2016) Nick D. Austin et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Reflecting on the final report of the O'Neill Review on Antimicrobial Resistance
- (2016) Laura J V Piddock LANCET INFECTIOUS DISEASES
- Sparse Neural Network Models of Antimicrobial Peptide-Activity Relationships
- (2016) Alex T. Müller et al. Molecular Informatics
- BaAMPs: the database of biofilm-active antimicrobial peptides
- (2015) Mariagrazia Di Luca et al. BIOFOULING
- Challenges and opportunities in computer-aided molecular design
- (2015) Lik Yin Ng et al. COMPUTERS & CHEMICAL ENGINEERING
- Chimeric Peptides as Implant Functionalization Agents for Titanium Alloy Implants with Antimicrobial Properties
- (2015) Deniz T. Yucesoy et al. JOM
- APD3: the antimicrobial peptide database as a tool for research and education
- (2015) Guangshun Wang et al. NUCLEIC ACIDS RESEARCH
- iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types
- (2013) Xuan Xiao et al. ANALYTICAL BIOCHEMISTRY
- QSAR Modeling: Where Have You Been? Where Are You Going To?
- (2013) Artem Cherkasov et al. JOURNAL OF MEDICINAL CHEMISTRY
- LAMP: A Database Linking Antimicrobial Peptides
- (2013) Xiaowei Zhao et al. PLoS One
- Prediction of antimicrobial peptides based on the adaptive neuro-fuzzy inference system application
- (2012) Fabiano C. Fernandes et al. BIOPOLYMERS
- Simultaneous design of ionic liquid entrainers and energy efficient azeotropic separation processes
- (2012) Brock C. Roughton et al. COMPUTERS & CHEMICAL ENGINEERING
- From QSAR models of Drugs to Complex Networks: State-of-Art Review and Introduction of New Markov-Spectral Moments Indices
- (2012) Pablo Riera-Fernandez et al. CURRENT TOPICS IN MEDICINAL CHEMISTRY
- Database screening and in vivo efficacy of antimicrobial peptides against methicillin-resistant Staphylococcus aureus USA300
- (2012) Joseph Menousek et al. INTERNATIONAL JOURNAL OF ANTIMICROBIAL AGENTS
- Designing antimicrobial peptides: form follows function
- (2011) Christopher D. Fjell et al. NATURE REVIEWS DRUG DISCOVERY
- UniProt Knowledgebase: a hub of integrated protein data
- (2011) M. Magrane et al. Database-The Journal of Biological Databases and Curation
- Identification of Novel Human Immunodeficiency Virus Type 1-Inhibitory Peptides Based on the Antimicrobial Peptide Database
- (2010) G. Wang et al. ANTIMICROBIAL AGENTS AND CHEMOTHERAPY
- Optimization of Antibacterial Peptides by Genetic Algorithms and Cheminformatics
- (2010) Christopher D. Fjell et al. Chemical Biology & Drug Design
- Multi-target spectral moments for QSAR and Complex Networks study of antibacterial drugs
- (2009) Francisco J. Prado-Prado et al. EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY
- CAMP: a useful resource for research on antimicrobial peptides
- (2009) Shaini Thomas et al. NUCLEIC ACIDS RESEARCH
- Use of Artificial Intelligence in the Design of Small Peptide Antibiotics Effective against a Broad Spectrum of Highly Antibiotic-Resistant Superbugs
- (2008) Artem Cherkasov et al. ACS Chemical Biology
- Recent Advances in QSAR and Their Applications in Predicting the Activities of Chemical Molecules, Peptides and Proteins for Drug Design
- (2008) Qi-Shi Du et al. CURRENT PROTEIN & PEPTIDE SCIENCE
- APD2: the updated antimicrobial peptide database and its application in peptide design
- (2008) Guangshun Wang et al. NUCLEIC ACIDS RESEARCH
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now