Engaging the Community: CASP Special Interest Groups

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.

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Publication Details

Journal
Proteins Structure Function and Bioinformatics
Published
2025-04-30
DOI
https://doi.org/10.1002/prot.26833
Citations
3
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
1.55

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article

Engaging the Community: CASP Special Interest Groups

Rachael C. Kretsch, Marcin Magnus, Arne Elofsson, G.T. Montelione
3 citations
Proteins Structure Function and Bioinformatics
Machine Learning in Materials Science
1.55
article

Engaging the Community: CASP Special Interest Groups

Rachael C. Kretsch, Marcin Magnus, Arne Elofsson, G.T. Montelione
article en
3 citations

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.

Proteins Structure Function and BioinformaticsVol. 94(1)
Harvard University (US), Stockholm University (SE), Science for Life Laboratory (SE), Stanford University (US)
National Science Foundation, Linköpings Universitet, Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet, National Institutes of Health, Stanford Bio-X, National Supercomputer Centre, Linköpings Universitet, National Institute of General Medical Sciences
Partnerships for the goals
Openalex Percentile: Top 18%
Machine Learning in Materials Science
1.55
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