ReviewCurrent opinion in structural biology2014
Uncertainty in integrative structural modeling.
Review in Current opinion in structural biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 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
54 citing papers in PubMed.
- Evaluation of methods for AlphaFold-based integrative modeling.bioRxiv : the preprint server for biology · 2026Article
- Beyond Classical Force Fields: Physics-Driven Assessment of the Grappa Machine-Learned Force Field on the FoldBind Dataset.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026Article
- State-of-the-Art and Future Directions in Structural Proteomics.Molecular & cellular proteomics : MCP · 2025Review
- Frontiers in integrative structural modeling of macromolecular assemblies.QRB discovery · 2025Review
- Kinetic principles of chemical cross-link formation for protein-protein interactions.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The molecular architecture of the desmosomal outer dense plaque by integrative structural modeling.Protein science : a publication of the Protein Society · 2024Article
- Integrating molecular dynamics simulation with small- and wide-angle X-ray scattering to unravel the flexibility, antigen-blocking, and protease-restoring functions in a hindrance-based pro-antibody.Protein science : a publication of the Protein Society · 2024Article
- Optimizing representations for integrative structural modeling using Bayesian model selection.Bioinformatics (Oxford, England) · 2024Article
- CombFold: predicting structures of large protein assemblies using a combinatorial assembly algorithm and AlphaFold2.Nature methods · 2024Article
- Optimizing representations for integrative structural modeling using Bayesian model selection.bioRxiv : the preprint server for biology · 2023Article
- Modern Alchemical Free Energy Methods for Drug Discovery Explained.ACS physical chemistry Au · 2023Review
- Predicting structures of large protein assemblies using combinatorial assembly algorithm and AlphaFold2.bioRxiv : the preprint server for biology · 2023Article
- Molecular architecture of nucleosome remodeling and deacetylase sub-complexes by integrative structure determination.Protein science : a publication of the Protein Society · 2022Article
- Integrative modeling of the cell.Acta biochimica et biophysica Sinica · 2022Review
- The active DNA-PK holoenzyme occupies a tensed state in a staggered synaptic complex.Structure (London, England : 1993) · 2021Article
- High resolution ensemble description of metamorphic and intrinsically disordered proteins using an efficient hybrid parallel tempering scheme.Nature communications · 2021Article
- Using Integrative Modeling Platform to compute, validate, and archive a model of a protein complex structure.Protein science : a publication of the Protein Society · 2021Article
- Editorial: Experiments and Simulations: AFrontiers in molecular biosciences · 2021Article
- Characterization of an A3G-VifMolecular & cellular proteomics : MCP · 2021Article
- Genetic interaction mapping informs integrative structure determination of protein complexes.Science (New York, N.Y.) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Integrative structural modeling uses multiple types of input information and proceeds in four stages: (i) gathering information, (ii) designing model representation and converting information into a scoring function, (iii) sampling good-scoring models, and (iv) analyzing models and information. In the first stage, uncertainty originates from data that are sparse, noisy, ambiguous, or derived from heterogeneous samples. In the second stage, uncertainty can originate from a representation that is too coarse for the available information or a scoring function that does not accurately capture the information. In the third stage, the major source of uncertainty is insufficient sampling. In the fourth stage, clustering, cross-validation, and other methods are used to estimate the precision and accuracy of the models and information.
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.