Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

DSSP (algorithm): Standards, Algorithm & Π helices

The DSSP algorithm is the standard method for assigning secondary structure to the amino acids of a protein, given the atomic-resolution coordinates of the protein. The abbreviation is only mentioned once in the 1983 paper describing this algorithm, where it is the name of the Pascal program that implements the algorithm Define Secondary Structure of…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

DSSP (algorithm) topic overview

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

Related topics
12
Source areas
3
Connected nodes
15
Extracted relationships
9
Concept neighborhoods
12
Bridge connections
15

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 · 8 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

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

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

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.

DSSP (algorithm)

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.

SubjectPredicateObjectConfidenceSrc
DSSP (algorithm)DeveloperMaarten Hekkelman1.00infobox
DSSP (algorithm)LicenseBSD-2-clause license1.00infobox
DSSP (algorithm)Operating systemLinux, Windows1.00infobox
DSSP (algorithm)Original authorsWolfgang Kabsch, Chris Sander1.00infobox
DSSP (algorithm)Release19831.00infobox
DSSP (algorithm)Repositorygithub.com/PDB-REDO/dssp1.00infobox
DSSP (algorithm)Stable release4.5 / 31 January 2026; 6 months ago (2026-01-31)1.00infobox
DSSP (algorithm)Websitepdb-redo.eu/dssp/1.00infobox
DSSP (algorithm)Written inC++1.00infobox

Related concept clusters Concept neighborhoods

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 ⟂ 9
DSSP (algorithm) — Overview · splits 12 ⟂ 4

Map overview Semantic statistics

DSSP (algorithm)

Nodes16
Edges15
Triples9
Avg. degree1.88
Density0.125
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

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.