Protein Target Highlights in <scp>CASP16</scp> : Insights From the Structure Providers

This article presents an in-depth analysis of selected CASP16 targets, with a focus on their biological and functional significance. The authors highlight the most relevant features of the target proteins and discuss how well these were reproduced in the submitted predictions. While the overall performance of structure prediction methods remains impressive, challenges persist, particularly in modeling rare structural motifs, flexible regions, small molecule interactions, posttranslational modifications, and biologically important interfaces. Addressing these limitations can strengthen the role of structure prediction in complementing experimental efforts and advancing both basic research and biomedical applications.

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Publication Details

Journal
Proteins Structure Function and Bioinformatics
Published
2025-10-09
DOI
https://doi.org/10.1002/prot.70025
Citations
1
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.81
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article

Protein Target Highlights in CASP16 : Insights From the Structure Providers

Daniel Fox, Leila T. Alexander, Sabrina Bibi‐Triki, Shiheng Liu et al.
1 citations
Proteins Structure Function and Bioinformatics
Protein Structure and Dynamics
0.81
article

Protein Target Highlights in CASP16 : Insights From the Structure Providers

Daniel Fox, Leila T. Alexander, Sabrina Bibi‐Triki, Shiheng Liu, Alessio d’Acapito, Morgan Jenkins, John Moult, Tomas Malinauskas, Rebecca M. DuBois, Loïc Carrique, Cécile Breyton, Kim Ivan A. Abesamis, Gerald Lackner, Deborah Fass, Michael Lammers, Juliana A. Martinez Fiesco, Christian Siebold, Gang Dong, Françoise Bringel, Z. Hong Zhou, J.R. Keown, Torsten Schwede, Jonathan M. Grimes, Gottfried J. Palm, Maya Topf, Rhys W. Grinter, Roman Kamyshinsky, Krzysztof Fidelis, Ping Zhang, Benoı̂t Masquida, Andrew L. Lovering, Océane M. Follonier, H. E. Box, Tiantian Su, Andriy Kryshtafovych
article en
1 citations

Abstract

This article presents an in-depth analysis of selected CASP16 targets, with a focus on their biological and functional significance. The authors highlight the most relevant features of the target proteins and discuss how well these were reproduced in the submitted predictions. While the overall performance of structure prediction methods remains impressive, challenges persist, particularly in modeling rare structural motifs, flexible regions, small molecule interactions, posttranslational modifications, and biologically important interfaces. Addressing these limitations can strengthen the role of structure prediction in complementing experimental efforts and advancing both basic research and biomedical applications.

Proteins Structure Function and BioinformaticsVol. 94(1)
SIB Swiss Institute of Bioinformatics (CH), Centre National de la Recherche Scientifique (FR), Centre for Human Genetics (GB), California NanoSystems Institute (US), Universität Hamburg (DE), University of California, Los Angeles (US), The University of Melbourne (AU), University of Basel (CH), University of California, Santa Cruz (US), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Universitätsmedizin Greifswald (DE), Discovery Institute (US), Australian Regenerative Medicine Institute (AU), Deutsches Elektronen-Synchrotron DESY (DE), Max Perutz Labs (AT), CEA Grenoble (FR), Universität Greifswald (DE), University of Warwick (GB), University of Oxford (GB), University Medical Center Hamburg-Eppendorf (DE), Department of Biomedicine Basel (CH), Frederick National Laboratory for Cancer Research (US), Research Institute for Bioscience and Biotechnology (NP), Vienna Biocenter (AT), Institut de Biologie Structurale (FR), Advanced Bioscience Laboratories (United States) (US), Centre for Structural Systems Biology (DE), Institute for Bioscience and Biotechnology Research, Weizmann Institute of Science (IL), University of Bayreuth (DE), Monash University (AU), Monash Institute of Medical Research (AU), Université de Strasbourg (FR), Medical University of Vienna (AT), University of Birmingham (GB), University of California, Davis (US), Université Grenoble Alpes (FR)
Openalex Percentile: Top 23%
Protein Structure and Dynamics
0.81
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