Evidence map›Paper›PMID 34301327›Full record

ArticleJournal of cheminformatics2021

"Molecular Anatomy": a new multi-dimensional hierarchical scaffold analysis tool.

Candida Manelfi, Marica Gemei, Carmine Talarico, Carmen Cerchia, Anna Fava, Filippo Lunghini, Andrea Rosario Beccari

Abstract read
In one paragraph

Article in Journal of cheminformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  14. AnArtificial intelligence in the life sciences · 2021
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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

7 authors.

Candida ManelfiDompé Farmaceutici SpA, Via Campo di Pile, 67100, L'Aquila, Italy.
Marica GemeiDompé Farmaceutici SpA, Via Campo di Pile, 67100, L'Aquila, Italy.
Carmine TalaricoDompé Farmaceutici SpA, Via Campo di Pile, 67100, L'Aquila, Italy.
Carmen CerchiaDepartment of Pharmacy, University of Naples "Federico II", 80131, Napoli, Italy.
Anna FavaDompé Farmaceutici SpA, Via Campo di Pile, 67100, L'Aquila, Italy.
Filippo LunghiniDompé Farmaceutici SpA, Via Campo di Pile, 67100, L'Aquila, Italy.
Andrea Rosario BeccariDompé Farmaceutici SpA, Via Campo di Pile, 67100, L'Aquila, Italy. andrea.beccari@dompe.com.ORCID 0000-0001-6830-2695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The scaffold representation is widely employed to classify bioactive compounds on the basis of common core structures or correlate compound classes with specific biological activities. In this paper, we present a novel approach called "Molecular Anatomy" as a flexible and unbiased molecular scaffold-based metrics to cluster large set of compounds. We introduce a set of nine molecular representations at different abstraction levels, combined with fragmentation rules, to define a multi-dimensional network of hierarchically interconnected molecular frameworks. We demonstrate that the introduction of a flexible scaffold definition and multiple pruning rules is an effective method to identify relevant chemical moieties. This approach allows to cluster together active molecules belonging to different molecular classes, capturing most of the structure activity information, in particular when libraries containing a huge number of singletons are analyzed. We also propose a procedure to derive a network visualization that allows a full graphical representation of compounds dataset, permitting an efficient navigation in the scaffold's space and significantly contributing to perform high quality SAR analysis. The protocol is freely available as a web interface at https://ma.exscalate.eu .

Indexed as

ClusteringHTS data analysisLibrary designNetwork visualizationScaffold analysis

Identifiers

PMID34301327
PMCPMC8299179

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.