Rule-Based Pruning and In Silico Identification of Essential Proteins in Yeast PPIN.

ABSTRACT: Proteins are vital for the significant cellular activities of living organisms. However, not all of them are essential. Identifying essential proteins through different biological experiments is relatively more laborious and time-consuming than the computational approaches used in recent times. However, practical implementation of conventional scientific methods sometimes becomes challenging due to poor performance impact in specific scenarios. Thus, more developed and efficient computational prediction models are required for essential protein identification. An effective methodology is proposed in this research, capable of predicting essential proteins in a refined yeast protein-protein interaction network (PPIN). The rule-based refinement is done using protein complex and local interact

SUBMITTER: Banik A 

PROVIDER: S-EPMC9454873 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature