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Glisic S Veljkovic N Jovanovic Cupic S Vasiljevic N Prljic J Gemovic B Perovic V Veljkovic V 《The protein journal》2012,31(2):129-136
Hepatitis C virus (HCV) infection is a major and rising global health problem, affecting about 170 million people worldwide.
The current standard of care treatment with interferon alpha and ribavirin in patients with the genotype 1 infection, the
most frequent genotype in the USA and Western Europe, leads to a successful outcome in only about 50% of individuals. Accurate
prediction of hepatitis C treatment response is of great benefit to patients and clinicians. The informational spectrum method,
a virtual spectroscopy method for structure/function analysis of nucleotide and protein sequences, is applied here for the
identification of the conserved information of the HCV proteins that correlate with the combination therapy outcome. Among
the HCV proteins that we have analyzed the informational property of the p7 of HCV genotype 1b was best related to the therapy
outcome. On the basis of these results, a simple bioinformatics criterion that could be useful in assessment of the response
of HCV-infected patients to the combination therapy has been proposed. 相似文献
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Sumonja Neven Gemovic Branislava Veljkovic Nevena Perovic Vladimir 《Amino acids》2019,51(8):1187-1200
Amino Acids - Over the last decade, various machine learning (ML) and statistical approaches for protein–protein interaction (PPI) predictions have been developed to help annotating... 相似文献
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