Literature DB >> 3712380

Structure-taste correlation of L-aspartyl dipeptides using SIMCA method.

Y Miyashita, Y Takahashi, C Takayama, K Sumi, K Nakatsuka, T Ohkubo, H Abe, S Sasaki.   

Abstract

One of the pattern recognition techniques, the SIMCA method, has been applied to structure-taste studies on L-aspartyl dipeptides (L-Asp-NH-R). The sweet and bitter taste class models of the peptides were obtained by using five structural descriptors, such as molar refractivity, and four kinds of STERIMOL parameters. The classification rates were calculated to be 87% and 81% for sweet and bitter peptides, respectively. The SIMCA method has also suggested that two factors, shape and size, of the C-terminal amino acid moiety R in the dipeptides are extremely important to model their taste qualities.

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Year:  1986        PMID: 3712380     DOI: 10.1021/jm00156a006

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  2 in total

1.  QSAR using 2D descriptors and TRIPOS' SIMCA.

Authors:  P A Hunt
Journal:  J Comput Aided Mol Des       Date:  1999-09       Impact factor: 3.686

2.  A QSTR-Based Expert System to Predict Sweetness of Molecules.

Authors:  Cristian Rojas; Roberto Todeschini; Davide Ballabio; Andrea Mauri; Viviana Consonni; Piercosimo Tripaldi; Francesca Grisoni
Journal:  Front Chem       Date:  2017-07-25       Impact factor: 5.221

  2 in total

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