Molecules and Cells

  • 제27권5호
  • /
  • Pages.547-556
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  • 2009
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  • 1016-8478(pISSN)
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  • 0219-1032(eISSN)
한국분자세포생물학회 (Korean Society for Molecular and Cellular Biology)
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Prediction of Parathyroid Hormone Signalling Potency Using SVMs

  • Yoo, Ahrim (Department of Chemical and Biological Engineering, Korea University) ;
  • Ko, Sunggeon (Department of Biochemistry, Yonsei University) ;
  • Lim, Sung-Kil (Department of Internal Medicine, School of Medicine, Yonsei University) ;
  • Lee, Weontae (Department of Biochemistry, Yonsei University) ;
  • Yang, Dae Ryook (Department of Chemical and Biological Engineering, Korea University)
  • 투고 : 2008.11.26
  • 심사 : 2009.04.14
  • 발행 : 2009.05.31
⟨ 이전 논문 다음 논문 ⟩

초록

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.

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과제정보

연구 과제 주관 기관 : Korea Science and Engineering Foundation

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피인용 문헌

  1. Risk-Predicting Model for Incident of Essential Hypertension Based on Environmental and Genetic Factors with Support Vector Machine vol.10, pp.1, 2009, https://doi.org/10.1007/s12539-017-0271-2