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Computational identification of a systemic antibiotic for Gram-negative bacteria
by
Nicolau, Samantha
, Hiller, Sebastian
, Liang, Libang
, Son, Sangkeun
, Maier, Timm
, Malyutin, Andrey G.
, Jakob, Roman P.
, Morrissette, Madeleine
, Karavas, Blake
, Pitt, Norman
, Iinishi, Akira
, Curtis, Thomas D.
, Rath, Parthasarathi
, Kaiser, Jens T.
, Modaresi, Seyed Majed
, Ghiglieri, Meghan
, Gates, Michael F.
, Rees, Douglas C.
, Yoo, Byung-Kuk
, Miller, Ryan D.
, Bargabos, Rachel
, Bowman, Sarah E. J.
, Lewis, Kim
, Niles, Samantha
, Lariviere, Patrick J.
in
101/28
/ 101/58
/ 101/6
/ 631/114
/ 631/154
/ 631/326/22/1290
/ 631/535/1258
/ Animals
/ Anti-Bacterial Agents - metabolism
/ Anti-Bacterial Agents - pharmacology
/ Antibiotics
/ Bacterial Outer Membrane Proteins - metabolism
/ Biomedical and Life Sciences
/ Computer applications
/ Crystal structure
/ Drug development
/ Escherichia coli - metabolism
/ Escherichia coli Proteins - genetics
/ Gram-negative bacteria
/ Gram-Negative Bacteria - metabolism
/ Infectious Diseases
/ Intestinal microflora
/ Life Sciences
/ Medical Microbiology
/ Mice
/ Microbiology
/ Microbiomes
/ Parasitology
/ Peptides
/ Peptides - metabolism
/ Phenylpropionates
/ Photorhabdus
/ Virology
2022
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Computational identification of a systemic antibiotic for Gram-negative bacteria
by
Nicolau, Samantha
, Hiller, Sebastian
, Liang, Libang
, Son, Sangkeun
, Maier, Timm
, Malyutin, Andrey G.
, Jakob, Roman P.
, Morrissette, Madeleine
, Karavas, Blake
, Pitt, Norman
, Iinishi, Akira
, Curtis, Thomas D.
, Rath, Parthasarathi
, Kaiser, Jens T.
, Modaresi, Seyed Majed
, Ghiglieri, Meghan
, Gates, Michael F.
, Rees, Douglas C.
, Yoo, Byung-Kuk
, Miller, Ryan D.
, Bargabos, Rachel
, Bowman, Sarah E. J.
, Lewis, Kim
, Niles, Samantha
, Lariviere, Patrick J.
in
101/28
/ 101/58
/ 101/6
/ 631/114
/ 631/154
/ 631/326/22/1290
/ 631/535/1258
/ Animals
/ Anti-Bacterial Agents - metabolism
/ Anti-Bacterial Agents - pharmacology
/ Antibiotics
/ Bacterial Outer Membrane Proteins - metabolism
/ Biomedical and Life Sciences
/ Computer applications
/ Crystal structure
/ Drug development
/ Escherichia coli - metabolism
/ Escherichia coli Proteins - genetics
/ Gram-negative bacteria
/ Gram-Negative Bacteria - metabolism
/ Infectious Diseases
/ Intestinal microflora
/ Life Sciences
/ Medical Microbiology
/ Mice
/ Microbiology
/ Microbiomes
/ Parasitology
/ Peptides
/ Peptides - metabolism
/ Phenylpropionates
/ Photorhabdus
/ Virology
2022
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Computational identification of a systemic antibiotic for Gram-negative bacteria
by
Nicolau, Samantha
, Hiller, Sebastian
, Liang, Libang
, Son, Sangkeun
, Maier, Timm
, Malyutin, Andrey G.
, Jakob, Roman P.
, Morrissette, Madeleine
, Karavas, Blake
, Pitt, Norman
, Iinishi, Akira
, Curtis, Thomas D.
, Rath, Parthasarathi
, Kaiser, Jens T.
, Modaresi, Seyed Majed
, Ghiglieri, Meghan
, Gates, Michael F.
, Rees, Douglas C.
, Yoo, Byung-Kuk
, Miller, Ryan D.
, Bargabos, Rachel
, Bowman, Sarah E. J.
, Lewis, Kim
, Niles, Samantha
, Lariviere, Patrick J.
in
101/28
/ 101/58
/ 101/6
/ 631/114
/ 631/154
/ 631/326/22/1290
/ 631/535/1258
/ Animals
/ Anti-Bacterial Agents - metabolism
/ Anti-Bacterial Agents - pharmacology
/ Antibiotics
/ Bacterial Outer Membrane Proteins - metabolism
/ Biomedical and Life Sciences
/ Computer applications
/ Crystal structure
/ Drug development
/ Escherichia coli - metabolism
/ Escherichia coli Proteins - genetics
/ Gram-negative bacteria
/ Gram-Negative Bacteria - metabolism
/ Infectious Diseases
/ Intestinal microflora
/ Life Sciences
/ Medical Microbiology
/ Mice
/ Microbiology
/ Microbiomes
/ Parasitology
/ Peptides
/ Peptides - metabolism
/ Phenylpropionates
/ Photorhabdus
/ Virology
2022
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Computational identification of a systemic antibiotic for Gram-negative bacteria
Journal Article
Computational identification of a systemic antibiotic for Gram-negative bacteria
2022
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Overview
Discovery of antibiotics acting against Gram-negative species is uniquely challenging due to their restrictive penetration barrier. BamA, which inserts proteins into the outer membrane, is an attractive target due to its surface location. Darobactins produced by
Photorhabdus
, a nematode gut microbiome symbiont, target BamA. We reasoned that a computational search for genes only distantly related to the darobactin operon may lead to novel compounds. Following this clue, we identified dynobactin A, a novel peptide antibiotic from
Photorhabdus australis
containing two unlinked rings. Dynobactin is structurally unrelated to darobactins, but also targets BamA. Based on a BamA-dynobactin co-crystal structure and a BAM-complex-dynobactin cryo-EM structure, we show that dynobactin binds to the BamA lateral gate, uniquely protruding into its β-barrel lumen. Dynobactin showed efficacy in a mouse systemic
Escherichia coli
infection. This study demonstrates the utility of computational approaches to antibiotic discovery and suggests that dynobactin is a promising lead for drug development.
Computational search identifies dynobactin A which is a systemically active, natural-product peptide antibiotic that kills Gram-negative bacteria.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
/ 101/58
/ 101/6
/ 631/114
/ 631/154
/ Animals
/ Anti-Bacterial Agents - metabolism
/ Anti-Bacterial Agents - pharmacology
/ Bacterial Outer Membrane Proteins - metabolism
/ Biomedical and Life Sciences
/ Escherichia coli - metabolism
/ Escherichia coli Proteins - genetics
/ Gram-Negative Bacteria - metabolism
/ Mice
/ Peptides
/ Virology
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