ArticleProteins2021
Computational models in the service of X-ray and cryo-electron microscopy structure determination.
Article in Proteins, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
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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
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Who cites it
30 citing papers in PubMed, 48 citations in OpenAlex.
- Cryo-EM Analysis in CASP16.Proteins · 2026Article
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- Innovative Formulation Strategies for Biosimilars: Trends Focused on Buffer-Free Systems, Safety, Regulatory Alignment, and Intellectual Property Challenges.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Structural studies of Parvoviridae capsid assembly and evolution: implications for novel AAV vector design.Frontiers in artificial intelligence · 2025Review
- Deep learning structural insights into heterotrimeric alternatively spliced P2X7 receptors.Purinergic signalling · 2024Article
- The power and pitfalls of AlphaFold2 for structure prediction beyond rigid globular proteins.Nature chemical biology · 2024Review
- Article
- An extensive disulfide bond network prevents tail contraction in Agrobacterium tumefaciens phage Milano.Nature communications · 2024Article
- DEMO-EM2: assembling protein complex structures from cryo-EM maps through intertwined chain and domain fitting.Briefings in bioinformatics · 2024Article
- DeepMainmast: integrated protocol of protein structure modeling for cryo-EM with deep learning and structure prediction.Nature methods · 2024Article
- Integrated Protocol of Protein Structure Modeling for Cryo-EM with Deep Learning and Structure Prediction.bioRxiv : the preprint server for biology · 2023Article
- Artificial intelligence and the analysis of cryo-EM data provide structural insight into the molecular mechanisms underlying LN-lamininopathies.Scientific reports · 2023Article
- Protein Structure Prediction: Challenges, Advances, and the Shift of Research Paradigms.Genomics, proteomics & bioinformatics · 2023Review
- Just Keep Rolling?-An Encompassing Review towards Accelerated Vaccine Product Life Cycles.Vaccines · 2023Review
- Critical Assessment of Methods for Predicting the 3D Structure of Proteins and Protein Complexes.Annual review of biophysics · 2023Review
- Structural and enzymatic characterization of the sialidase SiaPG from Porphyromonas gingivalis.Acta crystallographica. Section F, Structural biology communications · 2023Article
- Exploring AlphaFold2's Performance on Predicting Amino Acid Side-Chain Conformations and Its Utility in Crystal Structure Determination of B318L Protein.International journal of molecular sciences · 2023Article
- The impact of AlphaFold2 on experimental structure solution.Faraday discussions · 2022Article
- Structural basis of template strand deoxyuridine promoter recognition by a viral RNA polymerase.Nature communications · 2022Article
- A database of calculated solution parameters for the AlphaFold predicted protein structures.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
19 authors at 7 institutions in 3 countries.
Funding
Abstract
Critical assessment of structure prediction (CASP) conducts community experiments to determine the state of the art in computing protein structure from amino acid sequence. The process relies on the experimental community providing information about not yet public or about to be solved structures, for use as targets. For some targets, the experimental structure is not solved in time for use in CASP. Calculated structure accuracy improved dramatically in this round, implying that models should now be much more useful for resolving many sorts of experimental difficulties. To test this, selected models for seven unsolved targets were provided to the experimental groups. These models were from the AlphaFold2 group, who overall submitted the most accurate predictions in CASP14. Four targets were solved with the aid of the models, and, additionally, the structure of an already solved target was improved. An a posteriori analysis showed that, in some cases, models from other groups would also be effective. This paper provides accounts of the successful application of models to structure determination, including molecular replacement for X-ray crystallography, backbone tracing and sequence positioning in a cryo-electron microscopy structure, and correction of local features. The results suggest that, in future, there will be greatly increased synergy between computational and experimental approaches to structure determination.
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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.