Mining Novel Anti-Nocardia Drug Targets Based on Pan-genomics and Subtractive Proteomics / 中山大学学报(医学科学版)

ABSTRACT

ObjectiveNocardia is an apathogen that causes opportunistic infections in humans and has a global distribution. In recent years， resistance of Nocardia to commonly used drugs have been observed， highlighting the urgent need for the identification of new drug targets and the development of novel antimicrobial agents against Nocardia. MethodsThirty-one complete genome sequences of Nocardia strains were retrieved from the GenBank database. Pan-genomic analysis was performed using BPGA， and drug target candidates were screened using subtractive proteomics. Homology modeling was employed to predict the 3D structures of target proteins， and potential drugs targeting these proteins were predicted using DrugBank. Molecular docking techniques were utilized to validate the binding activity between the drugs and target proteins. ResultsThe pan-genomic analysis of the 31 Nocardia strains revealed 1 421 core proteins. Fifteen candidate drug target proteins were identified through subtractive proteomics analysis. Among them， the physicochemical properties of the OG1493 protein （such as amino acid count， molecular weight， isoelectric point， grand average of hydropathicity， fat index，and instability index Ⅱ） were found to be most suitable for a drug target protein. Using the DrugBank database， seven compounds， namely Adenosine-5'-Rp-Alpha-Thio-Triphosphate， alpha，beta-Methyleneadenosine 5'-triphosphate， Phosphoaminophosphonic Acid-Adenylate Ester ，Radicicol，2-Hydroxyestradiol， p-Coumaric acid， and Ethylmercurithiosalicylic acid were identified as potential compounds capable of exerting anti-Nocardia effects by targeting this protein. Molecular docking results indicated a strong binding affinity between the target protein and these compounds. The experimental result showed that that Radicicol could be a potential antibacterial drug targeting this particular protein. ConclusionPan-genomic analysis and subtractive proteomics are valuable approaches for mining novel anti-Nocardia drug targets.