Stack-AAgP: Computational prediction and interpretation of anti-angiogenic peptides using a meta-learning framework.

Journal: Computers in biology and medicine
Published Date: Apr 9, 2024

Abstract

BACKGROUND: Angiogenesis plays a vital role in the pathogenesis of several human diseases, particularly in the case of solid tumors. In the realm of cancer treatment, recent investigations into peptides with anti-angiogenic properties have yielded encouraging outcomes, thereby creating a hopeful therapeutic avenue for the treatment of cancer. Therefore, correctly identifying the anti-angiogenic peptides is extremely important in comprehending their biophysical and biochemical traits, laying the groundwork for uncovering novel drugs to combat cancer.

Authors

  • Saima Gaffar
    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.

Keywords

External Resources

Popular Topics
Recent Journals