An Artificial Intelligence-Selected Multifunctional Oligopeptide Coated Biphasic Calcium Phosphate (BCP) Scaffold Promotes Bone Defect Repair

  • Shiqing Ma
  • , Xiaotong Liu
  • , Baichuan Xiao
  • , Yujia Xiao
  • , Yilin Yang
  • , Beibei Ma
  • , Yucheng Shang
  • , Hao Zhu
  • , Yixiang Zhou
  • , Yong Biao Zhang*
  • , Jiayin Deng*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Bone defects caused by inflammation, trauma, tumor resection, or tooth extraction present persistent clinical challenges, primarily because of the limitations of current bone graft materials and growth factor therapies. In this study, we developed a novel strategy for bone regeneration by integrating AI-driven peptide discovery with bone tissue engineering. Utilizing the Deepeptide platform, we screened and identified bifunctional oligopeptides from intrinsically disordered regions (IDRs) with both osteogenic and angiogenic activities. Among the nine candidates, the most potent peptide was fused with a hydroxyapatite-binding domain via peptide engineering to enhance scaffold coupling and achieve sustained release. The recombinant fusion peptide was then covalently anchored onto biphasic calcium phosphate (BCP) ceramic scaffolds. And evaluations demonstrated that the modified scaffolds significantly promoted osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs), angiogenic activity of human umbilical vein endothelial cells (HUVECs), and effective bone regeneration and vascularization in vivo. These findings suggest that AI-discovered, functionally integrated oligopeptide-modified BCP ceramics hold promise as next-generation bone graft for repairing critical-sized bone defects.

Original languageEnglish
JournalAdvanced Healthcare Materials
DOIs
StateAccepted/In press - 2026

Keywords

  • angiogenesis
  • artificial intelligence
  • BCP scaffolds
  • bone regeneration
  • bone tissue engineering
  • oligopeptides

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