ArticleProteins2019
Assessment of chemical-crosslink-assisted protein structure modeling in CASP13.
Article in Proteins, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 29 citations in OpenAlex.
- Identification of a direct interaction between the Fab domains of IgG antibodies and human FcRn upon IgG-FcRn complex formation.Communications biology · 2025Article
- Assessment of Two Restraint Potentials for Coarse-Grained Chemical-Cross-Link-Assisted Modeling of Protein Structures.Journal of chemical information and modeling · 2024Article
- Protein structure prediction with in-cell photo-crosslinking mass spectrometry and deep learning.Nature biotechnology · 2023Article
- Modeling the Structure, Dynamics, and Transformations of Proteins with the UNRES Force Field.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Improvements and new functionalities of UNRES server for coarse-grained modeling of protein structure, dynamics, and interactions.Frontiers in molecular biosciences · 2022Article
- Article
- Decellularized nerve extracellular matrix/chitosan crosslinked by genipin to prepare a moldable nerve repair material.Cell and tissue banking · 2021Article
- Advances in integrative structural biology: Towards understanding protein complexes in their cellular context.Computational and structural biotechnology journal · 2021Review
- Recent Developments in Data-Assisted Modeling of Flexible Proteins.Frontiers in molecular biosciences · 2021Review
- Protein Footprinting: Auxiliary Engine to Power the Structural Biology Revolution.Journal of molecular biology · 2020Review
- Improved Consensus-Fragment Selection in Template-Assisted Prediction of Protein Structures with the UNRES Force Field in CASP13.Journal of chemical information and modeling · 2020Article
- Article
- Assessment of protein assembly prediction in CASP13.Proteins · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
21 authors at 8 institutions in 9 countries.
Funding
Abstract
With the advance of experimental procedures obtaining chemical crosslinking information is becoming a fast and routine practice. Information on crosslinks can greatly enhance the accuracy of protein structure modeling. Here, we review the current state of the art in modeling protein structures with the assistance of experimentally determined chemical crosslinks within the framework of the 13th meeting of Critical Assessment of Structure Prediction approaches. This largest-to-date blind assessment reveals benefits of using data assistance in difficult to model protein structure prediction cases. However, in a broader context, it also suggests that with the unprecedented advance in accuracy to predict contacts in recent years, experimental crosslinks will be useful only if their specificity and accuracy further improved and they are better integrated into computational workflows.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.