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Record W2030068856 · doi:10.1021/jm801648n

Effect of Ring Size on Conformation and Biological Activity of Cyclic Cationic Antimicrobial Peptides

2009· article· en· W2030068856 on OpenAlexaff
Masoud Jelokhani‐Niaraki, Leslie H. Kondejewski, Laura Wheaton, Robert S. Hodges

Bibliographic record

VenueJournal of Medicinal Chemistry · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntimicrobial Peptides and Activities
Canadian institutionsWilfrid Laurier UniversityUniversity of SaskatchewanUniversity of Alberta
FundersNational Institute of Allergy and Infectious Diseases
KeywordsChemistryGramicidin SCyclic peptideRing sizePeptideAmino acidStereochemistryBiological activityRing (chemistry)GramicidinAntimicrobialAntimicrobial peptidesCationic polymerizationEnantiomerMembraneIn vitroBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

In a series of cyclic peptides based on GS10, an analogue of gramicidin S (GS), the ring size was varied from 10 to 16 amino acids. Alternative addition of basic and hydrophobic amino acids to the original GS10 construct generated a variety of even-numbered rings, i.e., GS10 [cyclo-(VKLdYPVKLdYP)], GS12 [cyclo-(VKLKdYPKVKLdYP)], GS14 [cyclo-(VKLKVdYPLKVKLdYP), and GS16 [cyclo-(VKLKVKdYPKLKVKLdYP)] (d stands for d-enantiomers). The odd-numbered analogues (11-, 13-, and 15-mers) were derived from these four peptides by either addition or deletion of single basic (Lys) or hydrophobic (Leu or Val) amino acids. The resulting peptides, divided into three groups on the basis of peptide ring size (10- to 12-meric, 13- and 14-meric, and 15- and 16-meric), illustrated a diverse spectrum of biological activity correlated to their ring size, degree of beta-structure disruption, charge, hydrophobicity, amphipathicity, and affinity for lipid membranes. Two of these peptides with potent antimicrobial activities and high therapeutic indexes (4.5- to 10-fold compared with GS) are promising candidates for development of broad-spectrum antibiotics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.248
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations49
Published2009
Admission routes1
Has abstractyes

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