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Structural alignment attempts to establish homology between two or more polymer structures based on their shape and three-dimensional conformation. This process is usually applied to protein tertiary structures but can also be used for large RNA molecules. In contrast to simple structural superposition, where at least some equivalent residues of the two…
The analysis highlights Types of comparisons, Methods and RNA structural alignment as prominent areas in the source structure around Structural alignment.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Structural alignment shows recurring relationship patterns in the source. For example, Structural alignment → As, CE, DALI, G-Losa, H-bond, Improvements, In, MAPPIS, MultiBind, Other, Others, ProBiS, The, The MultiBind, These, TM-align, Unlike, While G-Losa Another extracted example is Structural alignment → All-against-all, C-alpha, E-value, Expectation, For, It, Local, MAMMOTH, MaxSub, Rather, SCOP, The, These, This, To, URMS. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
alignment structural structures structure protein used similarity matrix proteins sequence two methods method superposition residues rna known input sequences dali
TTTA extracted 127 structured relationships around Structural alignment. Examples in this analysis include Structural alignment → is a → valuable tool for the comparison of proteins with low sequence similarity and Structural alignment → is a → set of residues that are considered equivalent between the structures. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Structural alignment | is a | valuable tool for the comparison of proteins with low sequence similarity | 0.90 | text |
| Structural alignment | is a | set of residues that are considered equivalent between the structures | 0.90 | text |
| the global distance test | instance of | as well as other more sophisticated measures of structural similarity | 0.80 | text |
| the four-helix bundle | instance of | Such algorithms have successfully identified canonical folds | 0.80 | text |
| secondary structure elements | instance of | Reducing the protein to a coarse metric | 0.80 | text |
| secondary structure | instance of | the original definition of the CE method included only structural superpositions and inter-residue distances but has since been expanded to include local environmental properties | 0.80 | text |
| solvent exposure | instance of | the original definition of the CE method included only structural superpositions and inter-residue distances but has since been expanded to include local environmental properties | 0.80 | text |
| hydrogen-bonding patterns | instance of | the original definition of the CE method included only structural superpositions and inter-residue distances but has since been expanded to include local environmental properties | 0.80 | text |
| and dihedral angles.An alignment path is calculated as the optimal path through the similarity matrix by linearly progressing through the sequences | instance of | the original definition of the CE method included only structural superpositions and inter-residue distances but has since been expanded to include local environmental properties | 0.80 | text |
| extending the alignment with the next possible high-scoring AFP pair | instance of | the original definition of the CE method included only structural superpositions and inter-residue distances but has since been expanded to include local environmental properties | 0.80 | text |
| SCOP | instance of | particularly structures generated by ab initio structure prediction to structure families | 0.80 | text |
| because it emphasizes extracting a statistically reliable sub alignment | instance of | particularly structures generated by ab initio structure prediction to structure families | 0.80 | text |
The concept neighborhoods around Structural alignment bring nearby vocabulary together. In this analysis, examples include Structural, Structures and Used. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Structural alignment, one of the stronger structural bridges in this analysis connects Structural alignment with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Structural alignment to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Types of comparisons, Methods & RNA structural alignment, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Structural alignment · EN edition · Analysis: TopicsToTalkAbout