IF-AIP: A machine learning method for the identification of anti-inflammatory peptides using multi-feature fusion strategy.

Journal: Computers in biology and medicine
Published Date:

Abstract

BACKGROUND: The most commonly used therapy currently for inflammatory and autoimmune diseases is nonspecific anti-inflammatory drugs, which have various hazardous side effects. Recently, some anti-inflammatory peptides (AIPs) have been found to be a substitute therapy for inflammatory diseases like rheumatoid arthritis and Alzheimer's. Therefore, the identification of these AIPs is an emerging topic that is equally important.

Authors

  • Saima Gaffar
    Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju, 54896, South Korea.
  • Mir Tanveerul Hassan
    Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju, 54896, South Korea.
  • Hilal Tayara
    Department of Electronics and Information Engineering, Chonbuk National University, Jeonju 54896, South Korea. Electronic address: hilaltayara@jbnu.ac.kr.
  • Kil To Chong
    Division of Electronic Engineering, and Advanced Research Center of Electronics and Information, Chonbuk National University, Jeonju-Si 54896, South Korea. Electronic address: kitchong@jbnu.ac.kr.