Search bioRxiv⌕ Search

Biology subjects

Hassanein, S.

Publications and source records attributed to Hassanein, S..

2 recordsLinked to original sources

The PP1 phosphatase complex coordinates pre-mRNA 3end processing and termination of RNA polymerase II transcription

Phosphorylation plays a central role in coordinating transcription with pre-mRNA maturation, yet the mechanistic understanding of how transcription is regulated by phosphorylation remains limited. The PP1 phosphatase removes CDK9-dependent phosphorylation of Pol II and Spt5, triggering transcription termination. Here, we demonstrate that PNUTS enhances PP1 activity, whereas WDR82 mediates an interaction between PP1 and the pre-mRNA 3' end processing machinery subunit Symplekin. We present the first structure of a PNUTS-WDR82-Symplekin-Ssu72 complex, revealing that PNUTS and Symplekin bind WDR82 through distinct interfaces using conserved short linear motifs. Mutations that inactivate PP1s catalytic activity or disrupt its interaction with either PNUTS or the 3' end processing machinery led to impaired transcription elongation, inefficient cleavage of nascent transcripts, altered poly(A) site selection, and widespread transcription termination defects. Our findings demonstrate that the PP1 complex is essential for coupling transcription to pre-mRNA 3' end maturation, ensuring production of functional mRNA.

molecular biology↗

Pathdict: Machine learning software predict Drug-Pathway interaction in human Based on drug simplified molecular-input line-entry system (SMILES)

Predicting the target of unknown or/and drugs under investigation from data of already identified drugs is very important not only for the understanding of various drug and molecular interaction processes but also for the development of novel drugs. Here we introduce TarDict, a RandomForestClassifier based-software predict the target pathway or protein based on SMILES of chemical. TarDict receives SMILES and returns a list of the possible similar drug, then export list to the user the target that drug contribute in. Training data set of 20442 entry and testing reveal %95 accuracy.

bioinformatics↗