Stephan C. Schürer

This paper identifies GAK as a novel mitotic kinase and therapeutic target in DLBCL, showing that GAK inhibition causes mitotic defects and that existing drugs can be repurposed for its targeting.

The paper introduces an interactive Data Integrator for uniform processing and integration of bulk RNA-seq datasets from the MorPhiC program and external sources.

E3 Ligase Ligandalyzer provides a platform for exploring E3 ligase-recruiter complexes, enabling analysis of chemical and structural data to support degrader design.

The paper evaluates rilpivirine-based hydrophobic tags and PROTACs for HIV-1 RT degradation, finding that PEG4-Ad shows low nanomolar potency but limited efficacy against resistance mutations.

The paper integrates single-cell RNA sequencing data with drug response signatures to identify drug-sensitive and resistant glioblastoma cell states and predict synergistic drug combinations.

This paper develops a deep learning model to predict drug sensitivity in cancer using gene expression data and perturbation signatures, validated in prostate cancer cell lines.

The paper identifies cardiotoxic drug signatures using bulk transcriptomics and integrates them with genomic and single-cell data to predict toxicity mechanisms.

The paper presents a LINCS Microenvironment perturbation dataset cataloging transcriptional, proteomic, epigenomic, and phenotypic responses of MCF10A cells to six ligands, enabling integrative analysis of molecular and phenotypic changes.

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

This study identifies PNCK as a differentially overexpressed kinase in RCC, showing its role in cell proliferation, apoptosis, and disease progression, suggesting it as a potential drug target.

The paper develops a scoring system to prioritize understudied kinases as potential cancer targets using TCGA data.

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

FAIRshake evaluates the FAIRness of research digital resources through community-driven metrics, automated assessments, and visualization tools, revealing opportunities for improvement.

The paper introduces the Drug Target Ontology (DTO) to classify and integrate drug discovery data by formalizing druggable protein targets and their characteristics.