Jarek Meller

This study analyzes PRPS enzyme evolution across domains of life, identifying new classes and regulatory mechanisms through phylogenetic and biochemical approaches.

GPCR-Nexus integrates structured databases and literature using a multi-agent AI system to provide accurate, traceable knowledge about GPCRs.

This study uses SEC-ICP-MS to assess copper allocation to cytochrome c oxidase and identifies key transporters involved in mitochondrial copper trafficking.

This study identifies PRPS2 as a key regulator of redox homeostasis in Myc-driven lymphomas, showing that its inactivation causes reductive stress and cell death.

This paper introduces ceSAR, a method combining docking and transcriptional signature connectivity to improve drug discovery and repurposing by reducing false positives and computational costs.

iLINCS provides a web-based platform for analyzing omics signatures of diseases and cellular perturbations through integrative analytics and visualization tools.

This study analyzes the proteomic changes in schizophrenia using postmortem brain samples and shows how antipsychotic drugs modulate these changes across multiple biological levels.

KRSA predicts differential kinase activity from kinome array data by analyzing phosphorylation differences and comparing results to gene expression databases.

piNET is a web platform for analyzing and visualizing proteomics data, including PTMs, by connecting them to biological knowledge and LINCS signatures.

This study identifies region-specific PSD-95 interactomes in human brain regions and links them to potential drug targets using bioinformatics and perturbagen databases.

Kaleidoscope is a web application that provides access to omics databases and tools for in silico hypothesis exploration, demonstrating its use with DISC1 gene analysis across multiple datasets.

The paper identifies lamina-specific gene expression changes in pyramidal neurons from schizophrenia patients compared to controls, highlighting immune and synaptic pathway disruptions.

This paper reviews signature-based in silico approaches for drug repurposing in CNS disorders, integrating data science platforms to improve clinical relevance and address regulatory and knowledge challenges.

The paper identifies PPAR agonists as potential treatments for schizophrenia by analyzing bioenergetic changes in the DLPFC using bioinformatics and experimental validation.