Antibacterial peptides: basic facts and emerging concepts

By H. G. Boman. Journal of Internal Medicine, 2003

1,168 citations recorded by the source corpus.

Subfields: Immunology, Microbiology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/bb336bbfa04a733d0f30a2c58aa25c467fece61c

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Citations in the corpus

Designing antimicrobial peptides: form follows function (2011, background): “…the membrane can not be explained by a particular sequential aminoacid pattern or motif; rather, they originate from a combina tion of physicochemical and structural features 8 including size, residue composition, overall charge, secondary structure, hydrophobicity and amphiphilic character 53 .”
Antimicrobial peptides: The ancient arm of the human immune system (2010, background): “1).(3) As common characteristics, the first two types of AMPs carry a positive net charge and adopt an amphipathic structure.”
Peptides: A Package for Data Mining of Antimicrobial Peptides (2015, background): “Additionally to these four properties there are other descriptors that used in conjunction can provide useful information in the classification and design of antimicrobial peptides (Boman, 2003; Wang et al., 2009; Thomas et al., 2010; Piotto et al., 2012).”
Global Challenge of Multidrug-Resistant Acinetobacter baumannii (2007, background): “The former is a recombinant form of the N-terminal domain of the human bactericidal permeability-increasing protein, and cecropin is an antibacterial peptide (10, 11, 214).”
LL-37, the only human member of the cathelicidin family of antimicrobial peptides. (2006, background): “Boman [3] presents the numerous upstream control sites for transcription factors that regulate the expression of the gene.”
Antimicrobial Activities and Structures of Two Linear Cationic Peptide Families with Various Amphipathic β-Sheet and α-Helical Potentials (2005, background): “These classes contain well over 500 naturally occurring cationic antimicrobial peptides, and their structural and functional properties have recently been reviewed (2, 27).”
The insect cellular immune response (2008, background): “Although the fat body is a primary site of antimicrobial peptide expression, studies in diverse insects reveal that many AMPs are also expressed in hemocytes (Lowenberger, 2001; Hoffmann & Reichhart, 2002; Boman, 2003; Lackie, 1988; Yamano et al., 1994; Dimopoulos et al., 2000; Bartholomay et al., 2”
Strategies and molecular tools to fight antimicrobial resistance: resistome, transcriptome, and antimicrobial peptides (2013, background): “…led researchers to suggest that it would be difficult for the bacteria to develop resistance to some peptides (Ge et al., 1999a,b; Schroder, 1999; Zasloff, 2002; Boman, 2003; Jenssen et al., 2006), molecular mechanisms of resistance to CAMPs have been suggested in several groups (Zasloff, 2002).”
Deep learning improves antimicrobial peptide recognition (2018, background): “Over the past few decades, natural antimicrobial peptides (AMPs) have been an active area of research and have shown a lowered likelihood for bacteria to form resistance compared to many conventional drugs (Boman, 2003; Zelezetsky et al. , 2006).”
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery (2017, neutral): “This the potential protein interaction index proposed by Boman (Boman, 2003).”