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Related Concept Videos

Polymers02:34

Polymers

The word polymer is derived from the Greek words “poly” which means “many” and “mer” which means “parts”. Polymers are long chains of molecules composed of repeating units of smaller molecules, known as monomers. They either occur naturally, such as DNA and proteins, or can be constructed synthetically, like plastics. They have varied structural characteristics, such as linear chains, branched chains, or complex networks, that contribute to the properties that they exhibit. Additionally,...
Polymers02:34

Polymers

The word polymer is derived from the Greek words “poly” which means “many” and “mer” which means “parts”. Polymers are long chains of molecules composed of repeating units of smaller molecules, known as monomers. They either occur naturally, such as DNA and proteins, or can be constructed synthetically, like plastics. They have varied structural characteristics, such as linear chains, branched chains, or complex networks, that contribute to the properties that they exhibit. Additionally,...
Polymers02:34

Polymers

The word polymer is derived from the Greek words “poly” which means “many” and “mer” which means “parts”. Polymers are long chains of molecules composed of repeating units of smaller molecules, known as monomers. They either occur naturally, such as DNA and proteins, or can be constructed synthetically, like plastics. They have varied structural characteristics, such as linear chains, branched chains, or complex networks, that contribute to the properties that they exhibit. Additionally,...
Characteristics and Nomenclature of Copolymers01:24

Characteristics and Nomenclature of Copolymers

Copolymers are the products obtained from the polymerization of multiple monomer species. So, in a polymer chain itself, there can be multiple repeating units that come from different monomers. The process of synthesizing a polymer from different monomer species is called copolymerization. When two monomers are involved, the polymer is known as a bipolymer. Polymers with three and four monomers are termed terpolymers and quaterpolymers, respectively. Figure 1 depicts the copolymerization of...
Ziegler–Natta Chain-Growth Polymerization: Overview01:17

Ziegler–Natta Chain-Growth Polymerization: Overview

Ziegler–Natta polymerization is another form of addition or chain‐growth polymerization used for synthesizing linear polymers over branched polymers. The catalyst used for polymerization is the Ziegler–Natta catalyst, named after Karl Ziegler and Giulio Natta, who developed it in 1953. This catalyst is an organometallic complex of titanium tetrachloride and triethyl aluminum, with the active form of the catalyst being an alkyl titanium compound. Using the Ziegler–Natta catalyst, high molecular...
Characteristics and Nomenclature of Homopolymers01:00

Characteristics and Nomenclature of Homopolymers

Polymers that are made up of identical monomer units are called homopolymers. Only one repeating unit is involved in the construction of the homopolymer structure. For example, as depicted in Figure 1, polypropylene is a homopolymer constituted of propylene monomers. Here, the only repeating unit in the polymer chain is propylene.

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DNA Nanotubes as a Versatile Tool to Study Semiflexible Polymers
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Published on: October 25, 2017

A Canonical Text Representation for Polymers via BigSMILES and Tree Automata.

Bruno S Leão1, Nathan J Rebello1, Bradley D Olsen1

  • 1Department of Chemical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.

Journal of Chemical Information and Modeling
|June 10, 2026
PubMed
Summary

This study introduces a canonicalization algorithm to create unique BigSMILES strings for polymers, improving polymer database searches. This method ensures polymer data is findable, accessible, interoperable, and reusable (FAIR).

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Area of Science:

  • Polymer Chemistry
  • Computational Chemistry
  • Data Science

Background:

  • BigSMILES strings represent polymer structures but can be ambiguous.
  • This ambiguity complicates searching polymer databases.

Purpose of the Study:

  • To develop a canonicalization algorithm for BigSMILES strings.
  • To enable unique and efficient polymer searches in digital databases.

Main Methods:

  • Mapping BigSMILES strings to a tree automaton.
  • Minimizing the automaton into a unique graph.
  • Translating the minimized automaton back into a canonical BigSMILES string.

Main Results:

  • A robust algorithm that breaks BigSMILES degeneracy for linear and branched polymers.
  • Successful validation on diverse polymer chemistries and topologies.
  • Enables reverse translation from canonical structures to BigSMILES.

Conclusions:

  • The canonicalization algorithm enhances polymer data findability, accessibility, interoperability, and reusability (FAIR).
  • Facilitates data-driven approaches in polymer science through standardized BigSMILES representation.