AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest

• Hauptverfasser: Balachandran Manavalan (Verfasst von), Tae H. Shin (Verfasst von), Myeong O. Kim (Verfasst von), Gwang Lee (Verfasst von)
• Format: Buch
• Veröffentlicht: Frontiers Media S.A., 2018-03-01T00:00:00Z.
• Schlagworte: article
• Online-Zugang: Connect to this object online.

The use of therapeutic peptides in various inflammatory diseases and autoimmune disorders has received considerable attention; however, the identification of anti-inflammatory peptides (AIPs) through wet-lab experimentation is expensive and often time consuming. Therefore, the development of novel c...