Evidence map›Paper›PMID 40304050›Full record

ArticleProteins2026

Engaging the Community: CASP Special Interest Groups.

Arne Elofsson, Rachael C Kretsch, Marcin Magnus, Gaetano T Montelione

Abstract read
In one paragraph

Article in Proteins, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Modeling Alternative Conformational States in CASP16.bioRxiv : the preprint server for biology · 2025
    Article
  6. Assessment of nucleic acid structure prediction in CASP16.bioRxiv : the preprint server for biology · 2025
    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

4 authors.

Arne ElofssonDepartment of Biochemistry and Biophysics and Science for Life Laboratory, Stockholm University, Solna, Sweden.ORCID https://orcid.org/0000-0002-7115-9751
Rachael C KretschBiophysics Program, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0002-6935-518X
Marcin MagnusDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0002-5232-2234
Gaetano T MontelioneDepartment of Chemistry and Chemical Biology, Center for Biotechnology and Interdisciplinary Studies, Rensselaer, New York, USA.ORCID https://orcid.org/0000-0002-9440-3059

Funding

Hybrid Methods for Dynamic Structure Analysis of Proteins from Pathogenic MicroorganismsR35GM141818 · NIGMS · RENSSELAER POLYTECHNIC INSTITUTE · PI MONTELIONE, GAETANO T · 2021 to 2025
$3.3M
Discovery of structural RNAs involved in human health and diseaseR01GM144423 · NIGMS · HARVARD UNIVERSITY · PI RIVAS, ELENA · 2022 to 2025
$1.4M
An all-in-one web server for RNA structure prediction using evolutionary informationR21GM148902 · NIGMS · HARVARD UNIVERSITY · PI RIVAS, ELENA, VICENS, QUENTIN · 2023 to 2024
$415k
Knut och Alice Wallenbergs Stiftelse 2022.0032National Science Foundation 2330652National Supercomputer Centre, Linköpings Universitet Berzelius-2021-29NIGMS NIH HHS R01 GM144423NIGMS NIH HHS R21 GM148902NIGMS NIH HHS R35 GM141818NIH HHS R01-GM144423NIH HHS R21-GM148902Stanford Bio-XSwedish National Infrastructure for Computing SNIC 2021/5-297Vetenskapsrådet 2021-03979
6 · The paper itself

Abstract

The Critical Assessment of Structure Prediction (CASP) brings together a diverse group of scientists, from deep learning experts to NMR specialists, all aimed at developing accurate prediction algorithms that can effectively characterize the structural aspects of biomolecules relevant to their functions. Engagement within the CASP community has traditionally been limited to the prediction season and the conference, with limited discourse in the 1.5 years between CASP seasons. CASP special interest groups (SIGs) were established in 2023 to encourage continuous dialogue within the community. The online seminar series has drawn global participation from across disciplines and career stages. This has facilitated cross-disciplinary discussions fostering collaborations. The archives of these seminars have become a vital learning tool for newcomers to the field, lowering the barrier to entry.

Indexed as

Computational BiologyProteinsAlgorithmsHumansModels, MolecularProtein ConformationProteinsblind challengescollaborationcommunity engagementonline communityopen sciencescientific exchangestructure predictionwebinar series

Identifiers

PMID40304050
PMCPMC12353253

What OpenQuestion holds

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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.