Bioinformatic Analysis of 1000 Amphibian Antimicrobial Peptides Uncovers Multiple Length-Dependent Correlations for Peptide Design and Prediction
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Wang, G. Bioinformatic Analysis of 1000 Amphibian Antimicrobial Peptides Uncovers Multiple Length-Dependent Correlations for Peptide Design and Prediction. Antibiotics 2020, 9, 491. https://doi.org/10.3390/antibiotics9080491
Wang G. Bioinformatic Analysis of 1000 Amphibian Antimicrobial Peptides Uncovers Multiple Length-Dependent Correlations for Peptide Design and Prediction. Antibiotics. 2020; 9(8):491. https://doi.org/10.3390/antibiotics9080491
Chicago/Turabian StyleWang, Guangshun. 2020. "Bioinformatic Analysis of 1000 Amphibian Antimicrobial Peptides Uncovers Multiple Length-Dependent Correlations for Peptide Design and Prediction" Antibiotics 9, no. 8: 491. https://doi.org/10.3390/antibiotics9080491
APA StyleWang, G. (2020). Bioinformatic Analysis of 1000 Amphibian Antimicrobial Peptides Uncovers Multiple Length-Dependent Correlations for Peptide Design and Prediction. Antibiotics, 9(8), 491. https://doi.org/10.3390/antibiotics9080491
