Computational Identification of Most Deleterious Missense Mutations in Human PD-1 Gene.

ABSTRACT: Traditional cancer treatment approaches are often hindered by the presence of toxic side effects and the high rate of relapse observed in treated organs. In contrast, novel immunotherapeutic strategies targeting immune checkpoint inhibitors, particularly PD-1, have demonstrated promising results with minimal adverse effects. However, the emergence of immunotherapeutic-resistant tumors, predominantly caused by intrinsic mutations, poses a significant obstacle to successful treatment outcomes. Consequently, the primary objective of this study was to screen for the most detrimental missense mutations in the PD-1 gene associated with immunotherapeutic resistance. To achieve this aim, a comprehensive screening process utilizing 20 web servers, incorporating both sequence- and structure-based me

SUBMITTER: Ahmed Al-Madhagi H 

PROVIDER: S-EPMC10425257 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature