Intelligent decoding platform for peptide sequences: SERS detection via high affinity self-assembled silver nanoparticles and machine learning analysis.

Journal: Analytica chimica acta
PMID:

Abstract

BACKGROUND: Peptides are compounds formed by the dehydration-condensation reaction of two or more amino acids which play an important role in the life functions of the organism. Changes in the structure of amino acids and peptides are vital for elucidating the process of disease development. However, the existing methods make it difficult to accurately recognize slight variations in peptide sequences, which becomes a difficult detection task. Therefore, the necessity of novel, accurate, comprehensive and deep strategies for peptide sequence identification is imperative.

Authors

  • Ting Zhang
    Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing 100020, China.
  • Yingying He
    Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Heilongjiang, 150081, PR China.
  • Chengming Li
    Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Heilongjiang, 150081, PR China.
  • Huan Yao
    Research Center for Innovative Technology of Pharmaceutical Analysis, College of Pharmacy, Harbin Medical University, Heilongjiang, 150081, PR China.
  • Mingxu Zhang
    Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 620010, China.
  • Yang Li
    Occupation of Chinese Center for Disease Control and Prevention, Beijing, China.