Evidence map›Paper›PMID 40737289›Full record

ArticleJournal of chemical information and modeling2025

Fast, Comprehensive, and User Customizable Macromolecule Interface Analysis with FACE2FACE.

Patrizio Di Micco, Mario Incarnato, Gianmarco Pascarella, Allegra Via, Veronica Morea

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Patrizio Di MiccoInstitute of Molecular Biology and Pathology (IBPM), National Research Council of Italy (CNR), Rome 00185, Italy.ORCID 0000-0002-2242-6294
Mario IncarnatoInstitute of Molecular Biology and Pathology (IBPM), National Research Council of Italy (CNR), Rome 00185, Italy.ORCID 0009-0003-2942-2346
Gianmarco PascarellaInstitute of Molecular Biology and Pathology (IBPM), National Research Council of Italy (CNR), Rome 00185, Italy.ORCID 0000-0002-8382-8158
Allegra ViaDepartment of Biochemical Sciences "A. Rossi Fanelli", "Sapienza" University of Rome, Rome 00185, Italy.ORCID 0000-0002-3398-5462
Veronica MoreaInstitute of Molecular Biology and Pathology (IBPM), National Research Council of Italy (CNR), Rome 00185, Italy.ORCID 0000-0003-2566-3049

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural analysis of interfaces in macromolecular complexes is crucial to unveiling the mechanisms underlying molecular recognition. While several valuable computational tools exist for interface analysis, many web-based tools have limitations in input types, analysis comprehensiveness, or output customization, and there remains a need for an immediately accessible solution requiring no software installation, especially for users with limited computational skills. We have developed FACE2FACE, a user-friendly, fast, and comprehensive tool available as a web server for macromolecule interface analysis. FACE2FACE analyzes interfaces between proteins, nucleic acids, and other biological macromolecules or small molecules, providing extensive information that can be instantly visualized on the server interface and easily downloaded. The downloaded materials comprise files in formats that can be easily parsed and imported in spreadsheet applications as customizable contact maps and scripts to quickly visualize interface features in widely used applications such as PyMol and ChimeraX. Examples of FACE2FACE contributions to research projects are described.

Indexed as

Macromolecular SubstancesUser-Computer InterfaceNucleic AcidsSoftwareMacromolecular SubstancesNucleic Acids

Identifiers

PMID40737289
PMCPMC12458681

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.