Identification of Potential Drug Therapy for Dermatofibrosarcoma Protuberans with Bioinformatics and Deep Learning Technology.

Journal: Current computer-aided drug design
Published Date:

Abstract

BACKGROUND: Dermatofibrosarcoma protuberans (DFSP) is a rare mesenchymal tumor that is primarily treated with surgery. Targeted therapy is a promising approach to help reduce the high rate of recurrence. This study aims to identify the potential target genes and explore the candidate drugs acting on them effectively with computational methods.

Authors

  • Muge Liu
    Department of Burn Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510030, China.
  • Fan Yang
    School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, China.
  • Yingbin Xu
    Department of Burn Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510030, China.