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Computational design of the lasso peptide antibiotic microcin J25.
- Source :
-
Protein engineering, design & selection : PEDS [Protein Eng Des Sel] 2011 Mar; Vol. 24 (3), pp. 275-82. Date of Electronic Publication: 2010 Nov 23. - Publication Year :
- 2011
-
Abstract
- Microcin J25 (MccJ25) is a 21 amino acid (aa) ribosomally synthesized antimicrobial peptide with an unusual structure in which the eight N-terminal residues form a covalently cyclized macrolactam ring through which the remaining 13 aa tail is fed. An open question is the extent of sequence space that can occupy such an extraordinary, highly constrained peptide fold. To begin answering this question, here we have undertaken a computational redesign of the MccJ25 peptide using a two-stage sequence selection procedure based on both energy minimization and fold specificity. Eight of the most highly ranked sequences from the design algorithm, each of which contained two or three amino acid substitutions, were expressed in Escherichia coli and tested for production and antimicrobial activity. Six of the eight variants were successfully produced by E.coli at production levels comparable with that of the wild-type peptide. Of these six variants, three retain detectable antimicrobial activity, although this activity is reduced relative to wild-type MccJ25. The results here build upon previous findings that even rigid, constrained structures like the lasso architecture are amenable to redesign. Furthermore, this work provides evidence that a large amount of amino acid variation is tolerated by the lasso peptide fold.
- Subjects :
- Amino Acid Sequence
Amino Acid Substitution
Anti-Bacterial Agents isolation & purification
Anti-Bacterial Agents pharmacology
Bacteriocins isolation & purification
Bacteriocins pharmacology
Escherichia coli genetics
Models, Molecular
Molecular Sequence Data
Protein Conformation
Protein Folding
Salmonella drug effects
Anti-Bacterial Agents chemistry
Bacteriocins chemistry
Bacteriocins genetics
Computational Biology methods
Protein Engineering methods
Subjects
Details
- Language :
- English
- ISSN :
- 1741-0134
- Volume :
- 24
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Protein engineering, design & selection : PEDS
- Publication Type :
- Academic Journal
- Accession number :
- 21106549
- Full Text :
- https://doi.org/10.1093/protein/gzq108