Antimicrobial peptide similarity and classification through rough set theory using physicochemical boundaries

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Antimicrobial peptide similarity and classification through rough set theory using physicochemical boundaries

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Antimicrobial peptides attract considerable interest as novel agents to combat infections. Their long-time potency across bacteria, viruses and fungi as part of diverse innate immune systems offers a solution to overcome the rising concerns from antibiotic resistance. |

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Antimicrobial peptide similarity and classification through rough set theory using physicochemical boundaries

Antimicrobial peptides attract considerable interest as novel agents to combat infections. Their long-time potency across bacteria, viruses and fungi as part of diverse innate immune systems offers a solution to overcome the rising concerns from antibiotic resistance. |

Prediction, synthesis and evaluation of an antimicrobial peptide from Goat Vitronectin (Vn)

Synergistic effects of antimicrobial peptide dendrimer-chitosan polymer conjugates against Pseudomonas aeruginosa

Investigation of LL-37-mediated siRNA transfection

Epinecidin-1, a highly potent marine antimicrobial peptide with anticancer and immunomodulatory activities

Successful production of the potato antimicrobial peptide Snakin-1 in baculovirus-infected insect cells and development of specific antibodies

A new prokaryotic expression vector for the expression of antimicrobial peptide abaecin using SUMO fusion tag

Generation of an engineered food-grade Lactococcus lactis strain for production of an antimicrobial peptide: In vitro and in silico evaluation

Prokaryotic expression and mechanism of action of α-helical antimicrobial peptide A20L using fusion tags

Parallel identification of novel antimicrobial peptide sequences from multiple anuran species by targeted DNA sequencing

Enhancing the antibacterial activity of antimicrobial peptide PMAP-37(F34-R) by cholesterol modification

Đang chuẩn bị liên kết để tải về tài liệu: Antimicrobial peptide similarity and classification through rough set theory using physicochemical boundaries

Antimicrobial peptides attract considerable interest as novel agents to combat infections. Their long-time potency across bacteria, viruses and fungi as part of diverse innate immune systems offers a solution to overcome the rising concerns from antibiotic resistance. |

Prediction, synthesis and evaluation of an antimicrobial peptide from Goat Vitronectin (Vn)

Synergistic effects of antimicrobial peptide dendrimer-chitosan polymer conjugates against Pseudomonas aeruginosa

Investigation of LL-37-mediated siRNA transfection

Epinecidin-1, a highly potent marine antimicrobial peptide with anticancer and immunomodulatory activities

Successful production of the potato antimicrobial peptide Snakin-1 in baculovirus-infected insect cells and development of specific antibodies

A new prokaryotic expression vector for the expression of antimicrobial peptide abaecin using SUMO fusion tag

Generation of an engineered food-grade Lactococcus lactis strain for production of an antimicrobial peptide: In vitro and in silico evaluation

Prokaryotic expression and mechanism of action of α-helical antimicrobial peptide A20L using fusion tags

Parallel identification of novel antimicrobial peptide sequences from multiple anuran species by targeted DNA sequencing

Enhancing the antibacterial activity of antimicrobial peptide PMAP-37(F34-R) by cholesterol modification

Đang chuẩn bị liên kết để tải về tài liệu:
Antimicrobial peptide similarity and classification through rough set theory using physicochemical boundaries