Evidence map›Paper›PMID 39005430›Full record

ArticlebioRxiv : the preprint server for biology2024

CPIExtract: A software package to collect and harmonize small molecule and protein interactions.

Andrea Piras, Shi Chenghao, Michael Sebek, Gordana Ispirova, Giulia Menichetti

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Andrea PirasDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133, Milan, Italy.
Shi ChenghaoNetwork Science Institute, Northeastern University, 360 Huntington Ave, 02115, MA, USA.
Michael SebekNetwork Science Institute, Northeastern University, 360 Huntington Ave, 02115, MA, USA.ORCID 0000-0003-3347-7131
Gordana IspirovaChanning Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, 181 Longwood Ave, 02115, MA, USA.ORCID 0009-0002-5254-9807
Giulia MenichettiNetwork Science Institute, Northeastern University, 360 Huntington Ave, 02115, MA, USA.ORCID 0000-0001-5201-6774

Funding

Methods for Unraveling the Impact of Dietary Xenobiotics on COPD Exacerbations with Multi-Dimensional NetworksK25HL173665 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Giulia Menichetti · 2024 to 2026
$487k
NHLBI NIH HHS K25 HL173665
6 · The paper itself

Abstract

The binding interactions between small molecules and proteins are the basis of cellular functions. Yet, experimental data available regarding compound-protein interaction is not harmonized into a single entity but rather scattered across multiple institutions, each maintaining databases with different formats. Extracting information from these multiple sources remains challenging due to data heterogeneity. Here, we present CPIExtract (Compound-Protein Interaction Extract), a tool to interactively extract experimental binding interaction data from multiple databases, perform filtering, and harmonize the resulting information, thus providing a gain of compound-protein interaction data. When compared to a single source, DrugBank, we show that it can collect more than 10 times the amount of annotations. The end-user can apply custom filtering to the aggregated output data and save it in any generic tabular file suitable for further downstream tasks such as network medicine analyses for drug repurposing and cross-validation of deep learning models.

Identifiers

PMID39005430
PMCPMC11245042

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.