首页|Hangzhou Dianzi University Reports Findings in Klebsiella pneumoniae (Protein fu nction annotation and virulence factor identification of Klebsiella pneumoniae g enome by multiple machine learning models)
Hangzhou Dianzi University Reports Findings in Klebsiella pneumoniae (Protein fu nction annotation and virulence factor identification of Klebsiella pneumoniae g enome by multiple machine learning models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Gram-Negative Bacteria-Klebsiella pneumoniae is the subject of a report. According to news originati ng from Zhejiang, People's Republic of China, by NewsRx correspondents, research stated, "Klebsiella pneumoniae is a type of Gram-negative bacterium which can cause a range of infections in h uman. In recent years, an increasing number of strains of K. pneumoniae resistant to multiple antibiotics have emerged, posing a significant threat to public health." Our news journalists obtained a quote from the research from Hangzhou Dianzi Uni versity, "The protein function of this bacterium is not well known, thus a syste matic investigation of K. pneumoniae proteome is in urgent need. In this study, the protein functions of this bacter ia were re-annotated, and their function groups were analyzed. Moreover, three m achine learning models were built to identify novel virulence factors. Results s howed that the functions of 16 uncharacterized proteins were first annotated by sequence alignment. In addition, K. pneumoniae proteins share a high proportion of homology with Haemophilus influenzae and a low homology proportion with Chlamydia pneumoniae. By sequence analysis, 10 proteins were identified as potential drug targets fo r this bacterium. Our model achieved a high accuracy of 0.901 in the benchmark d ataset. By applying our models to K. pneumoniae, we identified 39 virulence factors in this pathogen."
ZhejiangPeople's Republic of ChinaAs iaBiological FactorsBiological ToxinsCyborgsDrugs and TherapiesEmergin g TechnologiesEnterobacteriaceaeGammapro-teobacteriaGeneticsGram-Negative BacteriaGram-Negative Facultatively Anaerobic RodsHealth and MedicineKleb siellaKlebsiella pneumoniaeMachine LearningProteobacteriaVirulence Facto rs
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