A back-propagation neural network predicts absorption maxima of chimeric human red/green visual pigments
| Autor: | Kevin L. Griffith, Michael C. O'Neill, Jeffrey M. Gross, Phyllis R. Robinson |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
Absorption (pharmacology)
Opsin genetic structures Absorption spectroscopy Color vision Recombinant Fusion Proteins Color perception Amino acid sequence Optics Humans Amino Acids chemistry.chemical_classification Photoreceptor Artificial neural network Chemistry business.industry Rod Opsins Sensory Systems Amino acid Ophthalmology Visual pigments Spectrophotometry Mutagenesis Mutation Retinal pigments sense organs Nerve Net Maxima business Biological system |
| Zdroj: | Vision Research. 39:1707-1712 |
| ISSN: | 0042-6989 |
| DOI: | 10.1016/s0042-6989(98)00289-2 |
| Popis: | The absorption spectra of human red and green visual pigments have peak wavelengths, λ max, that differ by 31 nm, yet the opsins differ in only 15 amino acids. Mutagenesis studies have demonstrated that seven of the 15 amino acids determine the spectral shift. We trained neural networks to predict the λ max of any red/green chimeric protein. Seven mutants were excluded from the original training set. The trained networks were able to predict the λ max for the excluded mutants. As an additional test, five new chimeric pigments were constructed and λ max determined. The neural networks correctly predicted the λ max of all five mutants. The use of neural networks is a novel approach to the problem of wavelength modulation in visual pigments. |
| Databáze: | OpenAIRE |
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