As the complexity of samples and experimental processes, the repeatability of mass spectrometry experiments is still not satisfactory, the results of peptide identification and quantification show high randomicity), the probability of peptide being detected by mass spectrometry in proteome research, especially in quantitative proteomic study, has received much attention. Therefore, a lot of experimental researches have been done, as well as a number of computational prediction methods have been developed. In this article, we summarized the important factors impacting the peptide detectability, investigated the existing prediction methods) and reviewed their applications in experimental study.

With thousands of sequenced 16 S rRNA genes available,and advancements in oligonucleotide microarray technology,the detection of microorganisms in microbial communities consisting of hundreds of species may be possible.The existing algorithms developed for sequence-specific probe design are not suitable for applications in large-scale bacteria detection due to the lack of coverage,flexibility and efficiency.Many other strategies developed for group-specific probe design focus on how to find a unique group-specific probe that can specifically detect all target sequences of a group.Unique group-specific probe for each group can not always be found.Hence,it is necessary to design non-unique probes.Each probe can specifically detect target sequences of a different subgroup.Combination of multiple probes can achieve higher coverage.However,it is a time-consuming task to evaluate all possible combinations.A feasible algorithm using relative entropy and genetic algorithm (GA) to design group-specific non-unique probes was presented.

Mammalian target of rapamycin (mTOR) regulates cell survival, proliferation, and metabolism. Alzheimer's disease (AD) is a common neurodegenerative disease with a complex pathogenesis and is closely related to aging. Studies have found that the pathological development of AD is often accompanied by changes in mTOR activity, but the role of mTOR in the pathogenesis of AD is not clear. In this paper, the complex of mTOR and its signaling pathways are first introduced, focusing on the effects of mTOR signaling pathways on synaptic plasticity and memory function, autophagy, βamyloid-β (Aβ), Tau protein and brain insulin resistance and other AD pathological features, secondly, the regulatory effects of mTOR signaling pathways in anti - aging and life prolongation are described, and finally the application of mTOR inhibitors in AD pathological research is introduced to provide new ideas for delaying and improving AD.