Ion annotation-assisted analysis of LC-MS based metabolomic experiment

Background

Analysis of multiple LC-MS based metabolomic studies is carried out to determine overlaps and differences among various experiments. For example, in large metabolic biomarker discovery studies involving hundreds of samples, it may be necessary to conduct multiple experiments, each involving a subset of the samples due to technical limitations. The ions selected from each experiment are analyzed to determine overlapping ions. One of the challenges in comparing the ion lists is the presence of a large number of derivative ions such as isotopes, adducts, and fragments. These derivative ions and the retention time drifts need to be taken into account during comparison.

Results

We implemented an ion annotation-assisted method to determine overlapping ions in the presence of derivative ions. Following this, each ion is represented by the monoisotopic mass of its cluster. This mass is then used to determine overlaps among the ions selected across multiple experiments.

Conclusion

The resulting ion list provides better coverage and more accurate identification of metabolites compared to the traditional method in which overlapping ions are selected on the basis of individual ion mass.

     

Insights into resistance mechanism of hepatitis C virus nonstructural 3/4A protease mutant to boceprevir using umbrella sampling simulation study

Abstract

Hepatitis C virus can cause inflammation in human liver cells, leading to liver cirrhosis and liver cancer. Based on the World Health Organization reports, about 228 million people in the world have hepatitis C. To date, some inhibitory medicines against the hepatitis C virus nonstructural 3/4A protease, such as boceprevir, have entered clinical trial phases. However, several hepatitis C virus nonstructural 3/4A protease mutations have been recognized to decrease susceptibility of boceprevir to hepatitis C virus. The molecular details behind inhibitor resistance of these single-point mutations are not still understood. Thus, in this research, computational strategies were applied to clarify the inhibitor resistance mechanism. From umbrella sampling simulation and energy profiles, the polar interactions are the main driving force for boceprevir binding. Based on the analyzed R155T mutant, the main reason for the occurrence of boceprevir resistance is the conformation alterations of S4 and extended S2 binding pockets. These changes, lead to decreased binding ability of the key residues to P2 and P4 moieties of boceprevir. Moreover, structural results show that the disappearance of important salt bridges can bring about the great conformation changes of the binding pockets in R155T.

Communicated by Ramaswamy H. Sarma