DSSP (algorithm)

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DSSP (algorithm) topic overview

The analysis highlights Standards, Algorithm and Π helices as prominent areas in the source structure around DSSP (algorithm).

Related topics: 11
Source areas: 3
Connected nodes: 14
Extracted relationships: 9
Related term clusters: 12
Bridge connections: 14

What this topic covers Research coverage

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.

Algorithm · 7 topics

Overview · 3 topics

Π helices · 1 topics

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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer: Maarten Hekkelman
License: BSD-2-clause license
Operating system: Linux, Windows
Original authors: Wolfgang Kabsch, Chris Sander
Release: 1983
Repository: github.com/PDB-REDO/dssp

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Explore different angles and find fresh ideas to shape your next piece of content.

DSSP (algorithm)

3Secondary structure · Amino acid · Pascal (programming language)

7Hydrogen bond · 310 helix · Α helix

Explore all related topics Closing gaps

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.

Overview

Algorithm

Π helices

Pi helix

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How DSSP (algorithm) connects Entity context

The extracted context around DSSP (algorithm) shows recurring relationship patterns in the source. For example, DSSP (algorithm) → Maarten Hekkelman Another extracted example is DSSP (algorithm) → BSD-2-clause license. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

Developer · 1

DSSP (algorithm) → Maarten Hekkelman

License · 1

DSSP (algorithm) → BSD-2-clause license

Operating system · 1

DSSP (algorithm) → Linux, Windows

Original authors · 1

DSSP (algorithm) → Wolfgang Kabsch, Chris Sander

Release · 1

DSSP (algorithm) → 1983

Repository · 1

DSSP (algorithm) → github.com/PDB-REDO/dssp

Stable release · 1

DSSP (algorithm) → 4.5 / 31 January 2026; 6 months ago (2026-01-31)

Website · 1

DSSP (algorithm) → pdb-redo.eu/dssp/

Written in · 1

DSSP (algorithm) → C++

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

dssp helices algorithm hydrogen bonds secondary structure types protein also assigned given original chris sander pascal oxygen respectively carbon nitrogen

DSSP (algorithm) relationships Subject–Predicate–Object triples

TTTA extracted 9 structured relationships around DSSP (algorithm). Examples in this analysis include DSSP (algorithm) → Developer → Maarten Hekkelman and DSSP (algorithm) → License → BSD-2-clause license. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
DSSP (algorithm)	Developer	Maarten Hekkelman	1.00	infobox
DSSP (algorithm)	License	BSD-2-clause license	1.00	infobox
DSSP (algorithm)	Operating system	Linux, Windows	1.00	infobox
DSSP (algorithm)	Original authors	Wolfgang Kabsch, Chris Sander	1.00	infobox
DSSP (algorithm)	Release	1983	1.00	infobox
DSSP (algorithm)	Repository	github.com/PDB-REDO/dssp	1.00	infobox
DSSP (algorithm)	Stable release	4.5 / 31 January 2026; 6 months ago (2026-01-31)	1.00	infobox
DSSP (algorithm)	Website	pdb-redo.eu/dssp/	1.00	infobox
DSSP (algorithm)	Written in	C++	1.00	infobox

Related concept clusters Related term clusters

The concept neighborhoods around DSSP (algorithm) bring nearby vocabulary together. In this analysis, examples include Helices, Dssp and Protein. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

DSSP (algorithm)
- Helices
- Dssp
- Protein
- Secondary
- Structure
- Hydrogen
- Assignment
- Chris
- Continuous
- Given
- Original
- Sander
dssp (algorithm)
- Helices
- Chris
- Dssp
- Original
- Sander
- Assigned
- Protein
- Secondary
- Structure
- Hydrogen
- Assignment
- Continuous
hydrogen bonds
- Hydrogen
- Respectively
- Helices
- Bond
- Displaystyle
- Nitrogen
- Oxygen
- Types
- Protein
- Based
- Carbon
- Chris
algorithm
- Chris
- Dssp
- Original
- Sander
- Assigned
- Protein
- Secondary
- Structure
- Acids
- Amino
- Assigning
- Atomic-resolution
ppii helices
- Bonds
- Symbol
- Original
- Ppii
- Hydrogen
- Assigned
- Types
- Assignment
- Based
- Carbon
- Chris
- Displaystyle
π helices
- Bonds
- Original
- Ppii
- Hydrogen
- Assigned
- Assignment
- Based
- Carbon
- Chris
- Displaystyle
- Nitrogen
- Oxygen
amino acids
- Acids
- Amino
- Assigning
- Atomic-resolution
- Coordinates
- Method
- Standard
- Given
- Protein
- Secondary
- Structure
- Algorithm
secondary structure
- Structure
- Pascal
- Standard
- Based
- Given
- Assigned
- Protein
- Types

Connections between topic areas Semantic bridges

For DSSP (algorithm), one of the stronger structural bridges in this analysis connects DSSP (algorithm) with Algorithm. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

DSSP (algorithm) — Algorithm · splits 7 ⟂ 8

DSSP (algorithm) — Overview · splits 11 ⟂ 4

Map overview Semantic statistics

DSSP (algorithm)

Nodes15

Edges14

Triples9

Avg. degree1.87

Density0.133333

Components1

Source & methodology

TTTA analyzes the structure around DSSP (algorithm) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards, Algorithm & Π helices, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — DSSP (algorithm) · EN edition · Analysis: TopicsToTalkAbout

DSSP (algorithm): Standards, Algorithm & Π helices

DSSP (algorithm) topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

Algorithm

Π helices

For the semantics nerds

Advanced semantic analysis

How DSSP (algorithm) connects Entity context

DSSP (algorithm)

Top relations

Important terminology

Important terminology

DSSP (algorithm) relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

DSSP (algorithm)

Source & methodology