Evidence map›Paper›PMID 42912946›Full record

ArticleJournal of chemical information and modeling2026

Speak to a Protein: An Interactive Multimodal Co-Scientist for Protein Analysis.

Carles Navarro, Mariona Torrens-Fontanals, Philipp Tholke, Stefan Doerr, Gianni de Fabritiis

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2026. 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.

Carles NavarroAcellera Labs , C/Doctor Trueta 183, 08005Barcelona, Spain.ORCID 0009-0001-7679-6944
Mariona Torrens-FontanalsAcellera Labs , C/Doctor Trueta 183, 08005Barcelona, Spain.ORCID 0000-0001-6233-8945
Philipp TholkeAcellera Labs , C/Doctor Trueta 183, 08005Barcelona, Spain.
Stefan DoerrAcellera Labs , C/Doctor Trueta 183, 08005Barcelona, Spain.
Gianni de FabritiisAcellera Labs , C/Doctor Trueta 183, 08005Barcelona, Spain.

Funding

Agencia Estatal de Investigaci?n PID2020-116564GB-I00Agencia Estatal de Investigaci?n PTQ2021-011670Generalitat de Catalunya NA
6 · The paper itself

Abstract

Building a working mental model of a protein typically requires weeks of reading, cross-referencing crystal and predicted structures, and inspecting ligand complexes, an effort that is slow, unevenly accessible, and often requires specialized computational skills. We introduce Speak to a Protein, a new capability that turns protein analysis into an interactive, multimodal dialogue with an expert coscientist. The AI system retrieves and synthesizes relevant literature, structures, and ligand data; grounds answers in a live 3D scene; and can highlight, annotate, manipulate, and see the visualization. It also generates and runs code when needed, explaining results in both text and graphics. We demonstrate these capabilities on relevant proteins, posing questions about binding pockets, conformational changes, or structure-activity relationships to test ideas in real time. Speak to a Protein reduces the time from question to evidence, lowers the barrier to advanced structural analysis, and enables hypothesis generation by tightly coupling language, code, and 3D structures. Speak to a Protein is freely accessible at https://open.playmolecule.org.

Indexed as

ProteinsSoftwareLigandsModels, MolecularProtein ConformationLigandsProteins

Identifiers

PMID42912946
PMCPMC13663485

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.