Comprehensive review and assessment of machine learning approaches for host-pathogen protein-protein interaction prediction. [PDF]
Noor F, Tahir Ul Qamar M.
europepmc +1 more source
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy +10 more
wiley +1 more source
Targeting the protein-protein interaction between the CDC37 cochaperone and client kinases by an allosteric RAF dimer breaker. [PDF]
Yu A +5 more
europepmc +1 more source
Overview of molecular signatures of senescence and associated resources: pros and cons
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 more
wiley +1 more source
AlphaPPIweb: an integration platform for protein-protein interaction prediction and evaluation. [PDF]
Liu YY +9 more
europepmc +1 more source
Targeting TNBC: core–shell polycationic polyurea dendrimers with inherent anticancer activity
Core–shell polycationic PURE dendrimers were tested in TNBC‐derived tumor models. Both formulations selectively targeted TNBC and effectively reduced tumor volume. PUREG4‐OEI48 suppressed tumor growth without detectable toxicity, whereas PUREG4‐OCEI24, despite showing efficacy, induced hepatic toxicity.
Adriana Cruz +9 more
wiley +1 more source
Exploring How Workflow Variations in Denaturation-Based Assays Impact Global Protein-Protein Interaction Predictions. [PDF]
Reed TJ +4 more
europepmc +1 more source
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
EGCPPIS: learning hierarchical equivariant graph representations with contrastive integration for protein-protein interaction site identification. [PDF]
Sun G, Fan Y, Zhu Y, Zheng M.
europepmc +1 more source

