Research any topic before you write.

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

DSSP (algorithm)

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…

Standards, Algorithm & Π helices

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around DSSP (algorithm). Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Algorithm

Hydrogen bonds310 helixΑ helixΠ helixBeta sheet
8 related topics

Π helices

Π helices
1 related topics

Overview

Secondary structureAmino acidsPascal
3 related topics

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

Topics to explore

Browse the full topic structure. 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.

Map overview Semantic statistics

DSSP (algorithm)

Nodes16
Edges15
Triples9
Avg. degree1.88
Density0.125
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

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 Word statistics

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

Entity relationships Subject–Predicate–Object triples

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

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.