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August 16, 2026ACS Applied Bio Materials

Computationally Assisted Peptide Screening to Identify Sequences from Reported Peptides to Achieve Enhance Abilities in Supporting Adhesion and Self-Renewal of Human Pluripotent Stem Cell Cultures

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Authors

PZPing ZhouMLMaoying LiuSMShengqin Ma

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Overview

Computational modeling demonstrates optimized RGD peptides support stem cell adhesion and self-renewal without ROCK inhibitors, indicating scalable pathways for clinical stem cell culture.

Key Points

  • To design and computationally evaluate optimized RGD-flanking peptide sequences that enhance integrin binding, adhesion, and self-renewal in human pluripotent stem cell cultures.
  • Generated three-dimensional structural models of integrin αVβ5 using AlphaFold and modeled peptide-integrin interactions via molecular docking with αVβ3 and αVβ5.
  • Performed molecular dynamics simulations to evaluate the stability of peptide-integrin complexes and analyze RGD-flanking sequence patterns.
  • Evaluated candidate peptide-displaying surfaces for their capacity to support hPSC adhesion and long-term self-renewal without ROCK inhibitors.
  • Molecular dynamics simulations established specific RGD-flanking sequence patterns that govern complex stability with αVβ3 and αVβ5 integrins.
  • Identified computationally optimized peptides capable of sustaining long-term hPSC self-renewal and adhesion under feeder-free conditions lacking ROCK inhibitors.

Cite This Study

Zhou et al. (2026) studied this question.

synapsesocial.com/papers/6a819d36f2fb91fc834aedachttps://doi.org/10.1021/acsabm.6c01059
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