Skip to main content

Hierarchical molecular identity comparison framework for untargeted metabolomics

Project description

InChI Identity

A hierarchical molecular identity comparison framework for untargeted metabolomics.

Instead of binary exact matching, this tool evaluates molecular equivalence across six progressive normalization layers, returning a structured equivalence profile that reflects the structural resolution actually supported by the experimental evidence. For lipids, a dedicated four-level hierarchy (Levels A–D) addresses cis/trans geometry, sn-position, intra-chain double bond position, and global sum composition.

Comparison Layers

Layer Name Description
1 Complete Identity Exact InChI string equality
2 Isotopic Independence Equality after /i layer removal
3 Salt Independence Equality after counterion removal
4 Charge Independence Equality after charge/protonation normalization
5 Stereochemical/Isomeric Independence Levels A–D (all molecules / lipids only)
6 Tautomeric Independence Equality after canonical tautomer generation

Installation

RDKit must be installed via conda:

git clone https://github.com/alejandraoshea/identity-levels-inchi.git
cd identity-levels-inchi
conda env create -f conda_env.yml
conda activate inchi-identity
pip install -e .

Verify:

inchi --help

InChI Trust (optional, for Layer 6)

Download from https://www.inchi-trust.org/downloads/ then set the path:

export INCHITRUST_PATH=/path/to/inchi-1

If not available, Layer 6 falls back to RDKit's TautomerEnumerator automatically.


CLI Usage

Compare two structures across all layers

inchi compare-pair "<inchi_1>" "<inchi_2>"

Compare with selected layers only

inchi compare-pair-layers "<inchi_1>" "<inchi_2>" --layers isotope salt charge

File-based comparison

Pairwise

inchi compare file1.txt file2.txt

Cross-comparison (all vs all)

inchi compare file1.txt file2.txt --mode cross

Only show equivalent pairs

inchi compare file1.txt file2.txt --only-equal
inchi compare file1.txt file2.txt --mode cross --only-equal

MGF spectral library unification

inchi compare-mgf file1.mgf file2.mgf \
    --layer CHARGES_INDEPENDENCE \
    --output-mgf unified.mgf \
    --output-log unified_log.json

Available layers: COMPLETE_IDENTITY, ISOTOPIC_INDEPENDENCE, SALTS_INDEPENDENCE, CHARGES_INDEPENDENCE, DOUBLE_BONDS_INDEPENDENCE, STEREOCHEMICAL_CIS_TRANS_INDEPENDENCE, TAUTOMER_INDEPENDENCE


Example output

{
    "inchi_1": "InChI=1S/C5H11NO2/c1-6(2,3)4-5(7)8/h4H2,1-3H3/p+1",
    "inchi_2": "InChI=1S/C18H34O2/...",
    "results": {
        "COMPLETE_IDENTITY": false,
        "ISOTOPIC_INDEPENDENCE": false,
        "SALTS_INDEPENDENCE": false,
        "CHARGES_INDEPENDENCE": false,
        "DOUBLE_BONDS_INDEPENDENCE": false,
        "STEREOCHEMICAL_CIS_TRANS_INDEPENDENCE": false,
        "TAUTOMER_INDEPENDENCE": false
    }
}

Related repositories


#\x00 \x00i\x00n\x00c\x00h\x00i\x00-\x00i\x00d\x00e\x00n\x00t\x00i\x00t\x00y\x00-\x00a\x00p\x00p\x00 \x00 \x00

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

inchi_identity-0.2.0.tar.gz (68.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

inchi_identity-0.2.0-py3-none-any.whl (33.5 kB view details)

Uploaded Python 3

File details

Details for the file inchi_identity-0.2.0.tar.gz.

File metadata

  • Download URL: inchi_identity-0.2.0.tar.gz
  • Upload date:
  • Size: 68.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

File hashes

Hashes for inchi_identity-0.2.0.tar.gz
Algorithm Hash digest
SHA256 c8c6f548815cb202cddc8ab4cdc8a9d807ff5572adb473263e59ca2e2a2c5ed6
MD5 a4886bbc473cc20866412b967a4d9fbc
BLAKE2b-256 d13b2f3d820ef6531a17d637845bee485d73fde61173090a0fb52c9e04e03e0b

See more details on using hashes here.

File details

Details for the file inchi_identity-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: inchi_identity-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 33.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

File hashes

Hashes for inchi_identity-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1646f6e4e70873d0d7927c26e315f7c0e4ba2e2519c8468425ef79c9e7455719
MD5 df2b6ea8eba8bd06ad0a5c61f0c9bc8a
BLAKE2b-256 ed97780ac2358f4bd1ed88651383d9258fbbd79afc5612943891379cb6d371c9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page