tailieuchung - 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

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

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

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

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

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

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