Prediction of parathyroid hormone signalling potency using SVMs

Ahrim Yoo, Sunggeon Ko, Sung K. Lim, Weontae Lee, Dae Ryook Yang

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Parathyroid hormone is the most important endocrine regulator of calcium concentration. Its N-terminal fragment (1-34) has sufficient activity for biological function. Recently, site-directed mutagenesis studies demonstrated that substitutions at several positions within shorter analogues (1-14) can enhance the bioactivity to greater than that of PTH (1-34). However, designing the optimal sequence combination is not simple due to complex combinatorial problems. In this study, support vector machines were introduced to predict the biological activity of modified PTH (1-14) analogues using mono-substituted experimental data and to analyze the key physicochemical properties at each position that correlated with bioactivity. This systematic approach can reduce the time and effort needed to obtain desirable molecules by bench experiments and provide useful information in the design of simpler activating molecules.

Original languageEnglish
Pages (from-to)547-556
Number of pages10
JournalMolecules and Cells
Volume27
Issue number5
DOIs
Publication statusPublished - 2009 Jun 12

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Parathyroid Hormone
Site-Directed Mutagenesis
Calcium
Support Vector Machine

Keywords

  • Function
  • Parathyroid hormone
  • Peptide analogue
  • SVM

ASJC Scopus subject areas

  • Cell Biology
  • Molecular Biology

Cite this

Prediction of parathyroid hormone signalling potency using SVMs. / Yoo, Ahrim; Ko, Sunggeon; Lim, Sung K.; Lee, Weontae; Yang, Dae Ryook.

In: Molecules and Cells, Vol. 27, No. 5, 12.06.2009, p. 547-556.

Research output: Contribution to journalArticle

Yoo, Ahrim ; Ko, Sunggeon ; Lim, Sung K. ; Lee, Weontae ; Yang, Dae Ryook. / Prediction of parathyroid hormone signalling potency using SVMs. In: Molecules and Cells. 2009 ; Vol. 27, No. 5. pp. 547-556.
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