Identification of putative drug targets and annotation of unknown proteins in Tropheryma whipplei

• Verfasst von: Palanisamy, Navaneethan [VerfasserIn]
• Titel: Identification of putative drug targets and annotation of unknown proteins in Tropheryma whipplei
• Verf.angabe: Navaneethan Palanisamy
• E-Jahr: 2018
• Jahr: 09 June 2018
• Umfang: 9 S.
• Illustrationen: Illustrationen
• Fussnoten: Gesehen am 03.03.2020
• Titel Quelle: Enthalten in: Computational biology and chemistry
• Ort Quelle: Oxford : Elsevier Science, 2003
• Jahr Quelle: 2018
• Band/Heft Quelle: 76(2018), Seite 130-138
• DOI: doi:10.1016/j.compbiolchem.2018.05.024
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Function/remote/domain homology
• Sach-SW: Putative drug targets
• Sach-SW: Subtractive genome analysis
• Sach-SW: Unknown protein sequences
• K10plus-PPN: 1691434086

Abstract

Tropheryma whipplei (T. whipplei) is the causative agent of Whipple’s disease and blood culture-negative endocarditis. Due to the variability of symptoms, the disease is often poorly diagnosed. Treatment for this bacterial infection is often lengthy, and improper uptake of antibiotics has resulted in relapses in many patients. In the present study, using available bioinformatic tools and databases such as the Cluster Database at High Identity with Tolerance (CD-HIT), the Basic Local Alignment Search Tool for proteins (BLASTp), the Database of Essential Genes (DEG), and the DrugBank database, 13 putative drug targets were identified in T. whipplei by subtractive genome analysis that could be targeted with currently available drugs (experimental or approved). Further, a 3D model was generated for one of these putative drug targets, the T. whipplei DNA ligase, and in silico docking was performed with pyridochromanone and adenosine-derived inhibitors using the AutoDock Vina. Additionally, many of the T. whipplei protein sequences in the National Center for Biotechnology Information (NCBI) protein database were unknown/uncurated. Using available web servers e.g. the KEGG Automatic Annotation Server (KAAS), the BLASTp, the Conserved Domain Architecture Retrieval Tool (CDAT) and the Protein families (Pfam), the function/remote/domain homology for nearly 80% of these uncurated protein sequences were annotated. The data obtained in the present study will aid physicians and researchers alike in curbing this bacterial infection.