Calsequestrin Deletion Facilitates Hippocampal Synaptic Plasticity and Spatial Learning in Post-Natal Development

A Novel Deep Learning Model for Drug-drug Interactions

INTRODUCTION

Drug-drug interactions (DDIs) can lead to adverse events and compromised treatment efficacy that emphasize the need for accurate prediction and understanding of these interactions.

METHODS

In this paper, we propose a novel approach for DDI prediction using two separate message-passing neural network (MPNN) models, each focused on one drug in a pair. By capturing the unique characteristics of each drug and their interactions, the proposed method aims to improve the accuracy of DDI prediction. The outputs of the individual MPNN models combine to integrate the information from both drugs and their molecular features. Evaluating the proposed method on a comprehensive dataset, we demonstrate its superior performance with an accuracy of 0.90, an area under the curve (AUC) of 0.99, and an F1-score of 0.80. These results highlight the effectiveness of the proposed approach in accurately identifying potential drugdrug interactions.

RESULTS

The use of two separate MPNN models offers a flexible framework for capturing drug characteristics and interactions, contributing to our understanding of DDIs. The findings of this study have significant implications for patient safety and personalized medicine, with the potential to optimize treatment outcomes by preventing adverse events.

CONCLUSION

Further research and validation on larger datasets and real-world scenarios are necessary to explore the generalizability and practicality of this approach.

Calsequestrin in Purkinje cells of mammalian cerebellum

Cerebellum is devoted to motor coordination and cognitive functions. Endoplasmic reticulum is the largest intracellular calcium store involved in all neuronal functions. Intralumenal calcium binding proteins play a pivotal role in calcium storage and contribute to both calcium release and uptake. Calsequestrin, a key calcium binding protein of sarco-endoplasmic reticulum in skeletal and cardiac muscles, was identified in chicken and fish cerebellum Purkinje cells, but its expression in mammals and human counterpart has not been studied in depth. Aim of the present paper was to investigate expression and localization of Calsequestrin in mammalian cerebellum. Calsequestrin was found to be expressed at low level in cerebellum, but specifically concentrated in Calbindin D28- and zebrin- immunopositive-Purkinje cells. Two additional fundamental calcium store markers, sarco-endoplasmic calcium pump isoform 2, SERCA2, and Inositol-trisphosphate receptor isoform 1, IP3R1, were found to be co-expressed in the region, with some localization peculiarities. In conclusion, a new marker was identified for Purkinje cells in adult mammals, including humans. Such a marker might help in staminal neuronal cells specification and in dissection of still unknown neurodegeneration and physio-pathological effects of dysregulated calcium homeostasis.

Molecular Mechanisms of Neural Circuit Development and Regeneration

The human brain contains 86 billion neurons [...].