Intermediate spectra and photocycle kinetics of the Asp96 → Asn mutant bacteriorhodopsin determined by singular value decomposition with self- modeling

L. Zimányi, A. Kulcsar, J. K. Lanyi, Jr Sears D.F., J. Saltiel

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Abstract

Singular value decomposition with self-modeling is applied to resolve the intermediate spectra and kinetics of the Asp96 → Asn mutant bacteriorhodopsin. The search for the difference spectra of the intermediates is performed in eigenvector space on the stoichinmetric plane. The analysis of data at pH values ranging from 4 to 8 and temperatures between 5 and 25°C reveals significant, early partial recovery of the initial state after photoexcitation. The derived spectra are not biased by assumed photocycles. The intermediate spectra derived in the initial step differ from spectra determined in prior analyses, which results in intermediate concentrations with improved stoichiometric properties. Increasingly more accurate photocycles follow with increasing assumed complexity, of which parallel models are favored, consistent with recent, independent experimental evidence.

Original languageEnglish
Pages (from-to)4414-4419
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume96
Issue number8
DOIs
Publication statusPublished - Apr 13 1999

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Bacteriorhodopsins
Temperature

ASJC Scopus subject areas

  • Genetics
  • General

Cite this

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title = "Intermediate spectra and photocycle kinetics of the Asp96 → Asn mutant bacteriorhodopsin determined by singular value decomposition with self- modeling",
abstract = "Singular value decomposition with self-modeling is applied to resolve the intermediate spectra and kinetics of the Asp96 → Asn mutant bacteriorhodopsin. The search for the difference spectra of the intermediates is performed in eigenvector space on the stoichinmetric plane. The analysis of data at pH values ranging from 4 to 8 and temperatures between 5 and 25°C reveals significant, early partial recovery of the initial state after photoexcitation. The derived spectra are not biased by assumed photocycles. The intermediate spectra derived in the initial step differ from spectra determined in prior analyses, which results in intermediate concentrations with improved stoichiometric properties. Increasingly more accurate photocycles follow with increasing assumed complexity, of which parallel models are favored, consistent with recent, independent experimental evidence.",
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T1 - Intermediate spectra and photocycle kinetics of the Asp96 → Asn mutant bacteriorhodopsin determined by singular value decomposition with self- modeling

AU - Zimányi, L.

AU - Kulcsar, A.

AU - Lanyi, J. K.

AU - Sears D.F., Jr

AU - Saltiel, J.

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N2 - Singular value decomposition with self-modeling is applied to resolve the intermediate spectra and kinetics of the Asp96 → Asn mutant bacteriorhodopsin. The search for the difference spectra of the intermediates is performed in eigenvector space on the stoichinmetric plane. The analysis of data at pH values ranging from 4 to 8 and temperatures between 5 and 25°C reveals significant, early partial recovery of the initial state after photoexcitation. The derived spectra are not biased by assumed photocycles. The intermediate spectra derived in the initial step differ from spectra determined in prior analyses, which results in intermediate concentrations with improved stoichiometric properties. Increasingly more accurate photocycles follow with increasing assumed complexity, of which parallel models are favored, consistent with recent, independent experimental evidence.

AB - Singular value decomposition with self-modeling is applied to resolve the intermediate spectra and kinetics of the Asp96 → Asn mutant bacteriorhodopsin. The search for the difference spectra of the intermediates is performed in eigenvector space on the stoichinmetric plane. The analysis of data at pH values ranging from 4 to 8 and temperatures between 5 and 25°C reveals significant, early partial recovery of the initial state after photoexcitation. The derived spectra are not biased by assumed photocycles. The intermediate spectra derived in the initial step differ from spectra determined in prior analyses, which results in intermediate concentrations with improved stoichiometric properties. Increasingly more accurate photocycles follow with increasing assumed complexity, of which parallel models are favored, consistent with recent, independent experimental evidence.

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