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ABSTRACT: Background
Trypanosoma brucei is the causative agent for trypanosomiasis in humans and livestock, which presents a growing challenge due to drug resistance. While identifying novel drug targets is vital, the process is delayed due to a lack of functional information on many of the pathogen's proteins. Accordingly, this paper presents a computational framework for prioritizing drug targets within the editosome, a vital molecular machinery responsible for mitochondrial RNA processing in T. brucei. Importantly, this framework may eliminate the need for prior gene or protein characterization, potentially accelerating drug discovery efforts.Results
By integrating protein-protein interaction (PPI) network analysis, PPI structural modeling, and residue interaction network (RIN) an
SUBMITTER: Poorinmohammad N
PROVIDER: S-EPMC10811811 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature