ArticleBMC structural biology2006
Saturating representation of loop conformational fragments in structure databanks.
Article in BMC structural biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed.
- Comprehensive assessment of protein loop modeling programs on large-scale datasets: prediction accuracy and efficiency.Briefings in bioinformatics · 2023Article
- Benchmarking the Accuracy of AlphaFold 2 in Loop Structure Prediction.Biomolecules · 2022Article
- ProMod3-A versatile homology modelling toolbox.PLoS computational biology · 2021Article
- Enhancing fragment-based protein structure prediction by customising fragment cardinality according to local secondary structure.BMC bioinformatics · 2020Article
- Assessing the accuracy of contact predictions in CASP13.Proteins · 2019Article
- A fragment based method for modeling of protein segments into cryo-EM density maps.BMC bioinformatics · 2017Article
- Sphinx: merging knowledge-based and ab initio approaches to improve protein loop prediction.Bioinformatics (Oxford, England) · 2017Article
- SL2: an interactive webtool for modeling of missing segments in proteins.Nucleic acids research · 2016Article
- Comparative Protein Structure Modeling Using MODELLER.Current protocols in bioinformatics · 2016Article
- LoopIng: a template-based tool for predicting the structure of protein loops.Bioinformatics (Oxford, England) · 2015Article
- Conformational sampling and structure prediction of multiple interacting loops in soluble and β-barrel membrane proteins using multi-loop distance-guided chain-growth Monte Carlo method.Bioinformatics (Oxford, England) · 2015Article
- Modularity of Protein Folds as a Tool for Template-Free Modeling of Structures.PLoS computational biology · 2015Article
- Detecting local residue environment similarity for recognizing near-native structure models.Proteins · 2014Article
- ArchDB 2014: structural classification of loops in proteins.Nucleic acids research · 2014Article
- Modeling proteins using a super-secondary structure library and NMR chemical shift information.Structure (London, England : 1993) · 2013Article
- A modular perspective of protein structures: application to fragment based loop modeling.Methods in molecular biology (Clifton, N.J.) · 2013Article
- How long is a piece of loop?PeerJ · 2013Article
- Computer-aided antibody design.Protein engineering, design & selection : PEDS · 2012Review
- Structural characteristics of novel protein folds.PLoS computational biology · 2010Article
- Template-based protein structure modeling.Methods in molecular biology (Clifton, N.J.) · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
backgroundShort fragments of proteins are fundamental starting points in various structure prediction applications, such as in fragment based loop modeling methods but also in various full structure build-up procedures. The applicability and performance of these approaches depend on the availability of short fragments in structure databanks.
resultsWe studied the representation of protein loop fragments up to 14 residues in length. All possible query fragments found in sequence databases (Sequence Space) were clustered and cross referenced with available structural fragments in Protein Data Bank (Structure Space). We found that the expansion of PDB in the last few years resulted in a dense coverage of loop conformational fragments. For each loops of length 8 in the current Sequence Space there is at least one loop in Structure Space with 50% or higher sequence identity. By correlating sequence and structure clusters of loops we found that a 50% sequence identity generally guarantees structural similarity. These percentages of coverage at 50% sequence cutoff drop to 96, 94, 68, 53, 33 and 13% for loops of length 9, 10, 11, 12, 13, and 14, respectively. There is not a single loop in the current Sequence Space at any length up to 14 residues that is not matched with a conformational segment that shares at least 20% sequence identity. This minimum observed identity is 40% for loops of 12 residues or shorter and is as high as 50% for 10 residue or shorter loops. We also assessed the impact of rapidly growing sequence databanks on the estimated number of new loop conformations and found that while the number of sequentially unique sequence segments increased about six folds during the last five years there are almost no unique conformational segments among these up to 12 residues long fragments.
conclusionThe results suggest that fragment based prediction approaches are not limited any more by the completeness of fragments in databanks but rather by the effective scoring and search algorithms to locate them. The current favorable coverage and trends observed will be further accentuated with the progress of Protein Structure Initiative that targets new protein folds and ultimately aims at providing an exhaustive coverage of the structure space.
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.