Evidence map›Paper›PMID 41174308›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

adabmDCA 2.0-A Flexible but Easy-to-Use Package for Direct Coupling Analysis.

Lorenzo Rosset, Roberto Netti, Anna Paola Muntoni, Martin Weigt, Francesco Zamponi

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Lorenzo RossetDepartment of Computational, Quantitative and Synthetic Biology, Sorbonne Université, CNRS, Paris, France.
Roberto NettiDepartment of Computational, Quantitative and Synthetic Biology, Sorbonne Université, CNRS, Paris, France.
Anna Paola MuntoniDISAT, Politecnico di Torino, Torino, Italy.
Martin WeigtDepartment of Computational, Quantitative and Synthetic Biology, Sorbonne Université, CNRS, Paris, France. martin.weigt@sorbonne-universite.fr.
Francesco ZamponiDipartimento di Fisica, Sapienza Università di Roma, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this methods article, we provide a flexible but easy-to-use implementation of direct coupling analysis (DCA) based on Boltzmann machine learning, together with a tutorial on how to use it. The package adabmDCA 2.0 is available in different programming languages (C

Indexed as

Computational BiologySoftwareAlgorithmsMachine LearningProgramming LanguagesProteinsProteinsDirect coupling analysisGenerative probabilistic modelsProtein-sequence modeling

Identifiers

What OpenQuestion holds

Textmetadata
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.