Immunoinformatic profiling of AdeR unveils novel diagnostic and therapeutic targets against multidrug-resistant Acinetobacter baumannii

Background: Multidrug-resistance A. baumannii is a Gram-negative, opportunistic pathogen and a major contributor to the global healthcare crisis, particularly in nosocomial infections.Objective: To identify conserved epitopes in AdeR protein of MDR-Acinetobacter baumannii for the development of antibody-based sensors for early detection and intervention. Methods:The AdeR gene from four MDR-A.baumannii isolates was cloned into the pET21a vector, sequenced, and aligned using BioEdit.B-cell and T-cell epitope predictions were made using the IEDB servers.The threedimensional structure of AdeR was modeled using the Swiss-Model server, with molecular visualization performed in PyMOL. Results:The analysis of AdeR sequences from four MDR-A.baumannii isolates revealed a high degree of conservation, particularly in the N-terminal domain, and identified key epitopes for immune recognition.The three-dimensional structures of AdeR were identical across isolates, despite minor sequence variations.B-and Tcell epitope predictions showed strong conservation, supporting the potential of AdeR as a target for diagnostic tools.These findings suggest that antibodies targeting AdeR could provide an effective candidate for detecting MDR infections.Finally, AdeR's conserved structure and immunogenic regions make it a promising candidate for early detection and management of MDR-A.baumannii infections. Conclusion:The conserved structure and immune recognition sites of AdeR across MDR-A.baumannii isolates make it a promising target for antibody-based diagnostic tools.This approach could enable early detection and more effective management of MDR infections.