Prediction of sirna delivery using topological descriptors and artificial neural network

• In: Industrial Pharmacy - Posters
• At: Basel (Switzerland) (2008)
• Type: Poster
• Poster code: IPS-P-018
• By: PIRIYAPRASARTH, Suchada (Faculty of Pharmacy, Silpakorn University, Nakhon-pathom, Thailand)
• Co-author(s): Techaarpornkul, Sunee (Faculty of Pharmacy, Silpakorn University, NAKHON-PATHOM, Thailand)
  Opanasopit, Praneet (Faculty of Pharmacy, Silpakorn University, NAKHON-PATHOM, Thailand)
  Nunthanid, Jurairat (Faculty of Pharmacy, Silpakorn University, NAKHON-PATHOM, Thailand)
  
• Abstract:

  Introduction: Delivery of siRNA into cells is a key step for efficient gene silencing. Chitosan is one of a safe and cost-effective siRNA delivery system. Experimentally measurement of a variety of chitosan-siRNA complexes for siRNA transport into cells, is expensive and time consuming. To analyze the relationship between molecular properties and..

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