| scholarly article | Q13442814 |
| P50 | author | William S. Noble | Q29053213 |
| P2093 | author name string | Musa Nur Gabere | |
| P2860 | cites work | BACTIBASE: a new web-accessible database for bacteriocin characterization | Q21263076 |
| A large-scale structural classification of antimicrobial peptides | Q21284485 | ||
| Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests | Q22673963 | ||
| Potential therapeutic applications of multifunctional host-defense peptides from frog skin as anti-cancer, anti-viral, immunomodulatory, and anti-diabetic agents | Q38209134 | ||
| Detection of putative new mutacins by bioinformatic analysis using available web tools | Q38264640 | ||
| PenBase, the shrimp antimicrobial peptide penaeidin database: sequence-based classification and recommended nomenclature | Q38414497 | ||
| Efficacy of antimicrobial peptoids against Mycobacterium tuberculosis | Q39564647 | ||
| Imbalanced multi-label learning for identifying antimicrobial peptides and their functional types. | Q40476669 | ||
| Extensive differences in antifungal immune response in two Drosophila species revealed by comparative transcriptome analysis | Q41825046 | ||
| BAGEL3: Automated identification of genes encoding bacteriocins and (non-)bactericidal posttranslationally modified peptides. | Q41913660 | ||
| Prediction of antimicrobial peptides based on sequence alignment and support vector machine-pairwise algorithm utilizing LZ-complexity. | Q42210936 | ||
| AVPpred: collection and prediction of highly effective antiviral peptides. | Q42232907 | ||
| AMPer: a database and an automated discovery tool for antimicrobial peptides. | Q42613788 | ||
| APD2: the updated antimicrobial peptide database and its application in peptide design | Q43122430 | ||
| AMPA: an automated web server for prediction of protein antimicrobial regions. | Q45998428 | ||
| Antiplasmodial and antileishmanial activities of phylloseptin-1, an antimicrobial peptide from the skin secretion of Phyllomedusa azurea (Amphibia). | Q46002027 | ||
| Prediction of antimicrobial peptides based on the adaptive neuro-fuzzy inference system application | Q48346066 | ||
| A Complex Prime Numerical Representation of Amino Acids for Protein Function Comparison. | Q50635084 | ||
| Prediction of bioactive peptides using artificial neural networks. | Q50994921 | ||
| ClassAMP: a prediction tool for classification of antimicrobial peptides. | Q51351049 | ||
| CAMP: a useful resource for research on antimicrobial peptides | Q24644249 | ||
| Studies on anticancer activities of antimicrobial peptides | Q24650885 | ||
| PhytAMP: a database dedicated to antimicrobial plant peptides | Q24655836 | ||
| Basic local alignment search tool | Q25938991 | ||
| Profile hidden Markov models | Q27860536 | ||
| Prediction of antimicrobial peptides based on sequence alignment and feature selection methods | Q28477742 | ||
| Anti-HIV-1 activity of a new scorpion venom peptide derivative Kn2-7 | Q28482446 | ||
| Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences | Q29547172 | ||
| UniProt: a hub for protein information | Q29547457 | ||
| Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach | Q29614698 | ||
| pROC: an open-source package for R and S+ to analyze and compare ROC curves | Q30050695 | ||
| Analysis and prediction of antibacterial peptides. | Q33291458 | ||
| AntiBP2: improved version of antibacterial peptide prediction | Q33528189 | ||
| Human antimicrobial peptides and proteins | Q33673156 | ||
| Prediction of linear cationic antimicrobial peptides based on characteristics responsible for their interaction with the membranes | Q33685084 | ||
| New milk protein-derived peptides with potential antimicrobial activity: an approach based on bioinformatic studies | Q34158647 | ||
| BAGEL: a web-based bacteriocin genome mining tool. | Q34547998 | ||
| A non-pediocin low molecular weight antimicrobial peptide produced by Pediococcus pentosaceus strain IE-3 shows increased activity under reducing environment. | Q34570580 | ||
| Targeting Mycobacterium tuberculosis and other microbial pathogens using improved synthetic antibacterial peptides. | Q34616362 | ||
| Antimicrobial peptides: a new class of antimalarial drugs? | Q34742823 | ||
| Antileishmanial and antitrypanosomal activity of the cutaneous secretion of Siphonops annulatus | Q35413035 | ||
| Common occurrence of antibacterial agents in human intestinal microbiota | Q35580068 | ||
| DAMPD: a manually curated antimicrobial peptide database | Q35630683 | ||
| Anti-tuberculosis activity of α-helical antimicrobial peptides: de novo designed L- and D-enantiomers versus L- and D-LL-37. | Q35687730 | ||
| CAMPR3: a database on sequences, structures and signatures of antimicrobial peptides | Q36434578 | ||
| APD3: the antimicrobial peptide database as a tool for research and education | Q36434966 | ||
| From antimicrobial to anticancer peptides. A review | Q37207728 | ||
| On bacteriocin delivery systems and potential applications. | Q38191238 | ||
| P433 | issue | 13 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | antimicrobial peptide | Q1201508 |
| P304 | page(s) | 1921-1929 | |
| P577 | publication date | 2017-07-01 | |
| P1433 | published in | Bioinformatics | Q4914910 |
| P1476 | title | Empirical comparison of web-based antimicrobial peptide prediction tools | |
| P478 | volume | 33 |
| Q90380806 | An automatic representation of peptides for effective antimicrobial activity classification |
| Q92212109 | Antimicrobial peptide identification using multi-scale convolutional network |
| Q59790866 | Antimicrobial peptide similarity and classification through rough set theory using physicochemical boundaries |
| Q89552763 | Characterization and Identification of Natural Antimicrobial Peptides on Different Organisms |
| Q53703043 | Designing Antibacterial Peptides with Enhanced Killing Kinetics. |
| Q64066125 | Encodings and models for antimicrobial peptide classification for multi-resistant pathogens |
| Q47277967 | Identification of bacteriocins secreted by the probiotic Lactococcus lactis following microwave-assisted acid hydrolysis (MAAH), amino acid content analysis, and bioinformatics. |
| Q57151152 | Optimal selection of molecular descriptors for antimicrobial peptides classification: an evolutionary feature weighting approach |
| Q64119765 | Prediction of Self-Interacting Proteins from Protein Sequence Information Based on Random Projection Model and Fast Fourier Transform |
| Q98895837 | Variational Autoencoder for Generation of Antimicrobial Peptides |
| Q64250454 | mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides |
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