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Related Concept Videos

The Retina01:32

The Retina

The retina is a layer of nervous tissue at the back of the eye that transduces light into neural signals. This process, called phototransduction, is carried out by rod and cone photoreceptor cells in the back of the retina.
Channel Rhodopsins01:11

Channel Rhodopsins

Most organisms use photoreceptors to sense and respond to light. Examples of photoreceptors include bacteriorhodopsins and bacteriophytochromes in some bacteria, phytochromes in plants, and rhodopsins in the photoreceptor cells of the vertebral retina. The light-sensitive property of these receptors is because of the bound chromophores, such as bilin in the phytochromes and retinal in the rhodopsins.
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At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category, whereas...
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Cyclic ethers are heterocyclic compounds with an oxygen atom in the ring along with carbon atoms. They are named depending on the number of carbon atoms present in their ring system. Cyclic ethers with a three-membered ring system are called “oxirane”, four-membered ring systems as “oxetane”, five-membered ring systems as “oxolane”, and six-membered ring systems as “oxane”. The cyclic structure of these rings imposes angle strain, and this strain is more in the ring having a smaller number of...
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Updated: Jun 3, 2026

Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy
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Published on: June 27, 2014

Chemical name to structure: OPSIN, an open source solution.

Daniel M Lowe1, Peter T Corbett, Peter Murray-Rust

  • 1Unilever Centre for Molecular Science Informatics, Department of Chemistry, University of Cambridge, Cambridge, England.

Journal of Chemical Information and Modeling
|March 10, 2011
PubMed
Summary
This summary is machine-generated.

We developed Open Parser for Systematic IUPAC Nomenclature (OPSIN), an open-source algorithm for fast and precise interpretation of organic chemical names. OPSIN achieves high accuracy, enabling robust chemical structure reconstruction from nomenclature.

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Area of Science:

  • Computational chemistry
  • Cheminformatics
  • Organic chemistry

Background:

  • Accurate interpretation of chemical nomenclature is crucial for data exchange and reproducibility.
  • Existing methods for chemical name parsing can be slow or imprecise.
  • Developing automated tools for chemical name-to-structure conversion is an ongoing challenge.

Purpose of the Study:

  • To introduce Open Parser for Systematic IUPAC Nomenclature (OPSIN), a novel open-source algorithm.
  • To provide a fast and precise method for interpreting organic chemical nomenclature.
  • To enable accurate reconstruction of chemical structures from their names.

Main Methods:

  • Development of an algorithm based on a regular grammar approach.
  • Utilizing the grammar to guide tokenization of chemical names.
  • Constructing an XML parse tree from the parsed name for stepwise structure reconstruction.

Main Results:

  • OPSIN demonstrates exceptional precision (99.8%+) in name/structure pair interpretation.
  • High recall rates (98.7-99.2%) were achieved using general organic chemical nomenclature.
  • The software successfully reconstructs chemical structures from names.

Conclusions:

  • OPSIN offers a highly accurate and efficient solution for chemical name parsing.
  • The open-source nature of OPSIN facilitates future development in chemical informatics.
  • This algorithm serves as a foundation for advancing automated chemical structure elucidation.