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Use of Fibonacci numbers in lipidomics – Enumerating various classes of fatty acids

Stefan Schuster; Maximilian Fichtner; Severin Sasso · Scientific Reports · 2017 · Combinatorial proof and chemical enumeration

Original publication · Original publication · Original publication

Recorded summary

The paper derives Fibonacci counts for a defined class of unbranched fatty-acid structures when cis/trans isomers are not distinguished. Modified assumptions produce generalized recurrences, including Pell-number cases.

Recorded limitations

The result counts chemically specified possibilities. It does not show that living organisms produce all counted structures, that measured lipid abundances follow the sequence, or that the rule applies to arbitrary molecules.

Evidence and provenance

Chapter Trust Factor uses a minimum of three distinct qualifying studies. Publication records retain their own evidence and assessment.

Study design and assessment
design
Combinatorial proof and chemical enumeration
assessment
is Randomized Controlled Trial
false
blinding
Not applicable to a clinical-trial grade
basis
Combinatorial proof and chemical enumeration. No human randomized controlled trial is reported.
sources

https://www.nature.com/articles/srep39821

category
peer-reviewed
peer Reviewed
true
trust Factor
score
1
scope
Paper
status
assessed
randomized Controlled Trial
false
blinding
not-confirmed
peer Reviewed
true
basis
Combinatorial proof and chemical enumeration. No human randomized controlled trial is reported.
sources

https://pubmed.ncbi.nlm.nih.gov/28071669/ · https://www.nature.com/articles/srep39821

review Scope
Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
assessed At
2026-10-27
jadad
status
not-applicable
score
Not recorded
reason
Not a human randomized controlled trial.
evidence
evidence Type
Combinatorial proof and chemical enumeration
evidence Class
mathematical_result
measurement
Specified fatty-acid classes and recursive enumeration
measured Genes
None recorded
pathways
None recorded
relationship Note
Background literature only. This paper does not test or validate an OXTR–Fibonacci relationship.
clinical Evidence
false
review Depth
Abstract and selected source passages: Results; Discussion.
full Paper Appraisal
Not completed; review depth states the material assessed.
Topics and recorded topic scores
  1. key
    general:fibonacci-molecular-computation
    title
    Molecular enumeration and biological computation
    collection
    general
    trust Score
    1
Citation snapshot and identifiers
id
nature-fibonacci-srep39821
doi
10.1038/srep39821
pmid
28071669
citation Snapshot
count
10
source
Crossref cited-by count
retrieved At
2026-10-24
url
https://api.crossref.org/works/10.1038/srep39821
field
is-referenced-by-count
source Indexed At
2026-06-20T05:25:31Z
coverage Note
Count reflects Crossref-deposited references and can differ from publisher or other database totals. It is not a quality or clinical-evidence score.
citations By Collection
general
10
Complete approved library record
id
nature-fibonacci-srep39821
aliases
None recorded
title
Use of Fibonacci numbers in lipidomics – Enumerating various classes of fatty acids
journal
Scientific Reports
publisher Family
nature
publisher Family Label
Nature Portfolio
neurotransmitters
None recorded
year
2017
authors
Stefan Schuster; Maximilian Fichtner; Severin Sasso
design
Combinatorial proof and chemical enumeration
kind
Journal article
identity Conflict
Not recorded
doi
10.1038/srep39821
pmid
28071669
urls

https://www.nature.com/articles/srep39821 · https://doi.org/10.1038/srep39821 · https://pubmed.ncbi.nlm.nih.gov/28071669/

collections

general

categories

Fibonacci mathematics · Molecular computation

targets
None recorded
priority
1
quotes
None recorded
summary
The paper derives Fibonacci counts for a defined class of unbranched fatty-acid structures when cis/trans isomers are not distinguished. Modified assumptions produce generalized recurrences, including Pell-number cases.
limitation
The result counts chemically specified possibilities. It does not show that living organisms produce all counted structures, that measured lipid abundances follow the sequence, or that the rule applies to arbitrary molecules.
citation Count
10
citation Snapshot
count
10
source
Crossref cited-by count
retrieved At
2026-10-24
url
https://api.crossref.org/works/10.1038/srep39821
field
is-referenced-by-count
source Indexed At
2026-06-20T05:25:31Z
coverage Note
Count reflects Crossref-deposited references and can differ from publisher or other database totals. It is not a quality or clinical-evidence score.
study Design Assessment
is Randomized Controlled Trial
false
blinding
Not applicable to a clinical-trial grade
basis
Combinatorial proof and chemical enumeration. No human randomized controlled trial is reported.
sources

https://www.nature.com/articles/srep39821

category
peer-reviewed
peer Reviewed
true
paper Trust Assessment
score
1
scope
Paper
status
assessed
randomized Controlled Trial
false
blinding
not-confirmed
peer Reviewed
true
basis
Combinatorial proof and chemical enumeration. No human randomized controlled trial is reported.
sources

https://pubmed.ncbi.nlm.nih.gov/28071669/ · https://www.nature.com/articles/srep39821

review Scope
Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
assessed At
2026-10-27
citations By Collection
general
10
topics
  1. key
    general:fibonacci-molecular-computation
    title
    Molecular enumeration and biological computation
    collection
    general
    trust Score
    1
journal Key
scientificreports
journal Label
Scientific Reports
chapter Entries
  1. id
    general-nature-fibonacci-srep39821
    title
    Use of Fibonacci numbers in lipidomics – Enumerating various classes of fatty acids
    journal
    Scientific Reports
    year
    2017
    authors
    Stefan Schuster; Maximilian Fichtner; Severin Sasso
    doi
    10.1038/srep39821
    pmid
    28071669
    urls

    https://www.nature.com/articles/srep39821 · https://doi.org/10.1038/srep39821 · https://pubmed.ncbi.nlm.nih.gov/28071669/

    design
    Combinatorial proof and chemical enumeration
    summary
    The paper derives Fibonacci counts for a defined class of unbranched fatty-acid structures when cis/trans isomers are not distinguished. Modified assumptions produce generalized recurrences, including Pell-number cases.
    limitation
    The result counts chemically specified possibilities. It does not show that living organisms produce all counted structures, that measured lipid abundances follow the sequence, or that the rule applies to arbitrary molecules.
    citation Count
    10
    citation Snapshot
    count
    10
    source
    Crossref cited-by count
    retrieved At
    2026-10-24
    url
    https://api.crossref.org/works/10.1038/srep39821
    field
    is-referenced-by-count
    source Indexed At
    2026-06-20T05:25:31Z
    coverage Note
    Count reflects Crossref-deposited references and can differ from publisher or other database totals. It is not a quality or clinical-evidence score.
    categories

    Fibonacci mathematics · Molecular computation

    targets
    None recorded
    evidence
    evidence Type
    Combinatorial proof and chemical enumeration
    evidence Class
    mathematical_result
    measurement
    Specified fatty-acid classes and recursive enumeration
    measured Genes
    None recorded
    pathways
    None recorded
    relationship Note
    Background literature only. This paper does not test or validate an OXTR–Fibonacci relationship.
    clinical Evidence
    false
    review Depth
    Abstract and selected source passages: Results; Discussion.
    full Paper Appraisal
    Not completed; review depth states the material assessed.
    record Id
    nature-fibonacci-srep39821
    quotes
    None recorded
    source Pages
    None recorded
    paper Trust Assessment
    score
    1
    scope
    Paper
    status
    assessed
    randomized Controlled Trial
    false
    blinding
    not-confirmed
    peer Reviewed
    true
    basis
    Combinatorial proof and chemical enumeration. No human randomized controlled trial is reported.
    sources

    https://pubmed.ncbi.nlm.nih.gov/28071669/ · https://www.nature.com/articles/srep39821

    review Scope
    Existing publication-specific assessments and bibliographic indexing; no blanket full-text appraisal.
    assessed At
    2026-10-27
    study Design Assessment
    is Randomized Controlled Trial
    false
    blinding
    Not applicable to a clinical-trial grade
    basis
    Combinatorial proof and chemical enumeration. No human randomized controlled trial is reported.
    sources

    https://www.nature.com/articles/srep39821

    category
    peer-reviewed
    peer Reviewed
    true
    collection
    general
    chapter Number
    9
    topic Id
    fibonacci-molecular-computation
    topic Title
    Molecular enumeration and biological computation
    trust Score
    1
evidence
evidence Type
Combinatorial proof and chemical enumeration
evidence Class
mathematical_result
measurement
Specified fatty-acid classes and recursive enumeration
measured Genes
None recorded
pathways
None recorded
relationship Note
Background literature only. This paper does not test or validate an OXTR–Fibonacci relationship.
clinical Evidence
false
review Depth
Abstract and selected source passages: Results; Discussion.
full Paper Appraisal
Not completed; review depth states the material assessed.
jadad
status
not-applicable
score
Not recorded
reason
Not a human randomized controlled trial.
condition Evidence
None recorded
conditions
None recorded
topic Trust Scores

1

full Text
status
open-license
retrieval Available
true
url
https://www.nature.com/articles/srep39821
rights
license
http://creativecommons.org/licenses/by/4.0/
authors
Stefan, Schuster; Maximilian, Fichtner; Severin, Sasso
title
Use of Fibonacci numbers in lipidomics – Enumerating various classes of fatty acids
doi
10.1038/srep39821
copyright
2017 The Author(s)
source
https://www.nature.com/articles/srep39821
transformation
Article sections extracted to plain text; navigation and recommendation sections removed. Equations, tables and image content may be incomplete; use the source for technical interpretation.
sha256
63f81c49e0135fcf1119825a129de066868e3c659643ac8a2ef773dee797e4c9
checked At
2026-10-24

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