Results 61 to 70 of about 400,566 (302)
COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
Molecular Oncology, EarlyView.This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos +6 more
wiley +1 more source
, 2006 A Three-Dimensional Quantitative Structure-activity Relationship (3D-QSAR) model that correlates the biological activities with the chemical structures of a series of Glucose-6-phosphatase inhibitors, exemplified by the 4,5,6,7-tetrahydrothienopyridines ...
Yang, SL, Yang, L, Wang, C
core +1 more source
Molecular Oncology, EarlyView.Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
Partitioning and lipophilicity in quantitative structure-activity relationships. [PDF]
Environmental Health Perspectives, 1985 The history of the relationship of biological activity to partition coefficient and related properties is briefly reviewed. The dominance of partition coefficient in quantitation of structure-activity relationships is emphasized, although the importance of other factors is also demonstrated.
openaire +2 more sources
Py-Graph: An Easy-To-Use Interface for Building Graph-Based QSAR Models
, 2022 Graph Neural Networks (GNNs) have been proved to be effective for the prediction of molecules’ properties using the molecular graph. These models not only allow to obtain high classification and regression performances, but, with the help of ...
Roberto Capobianco +2 more
core
Molecular Oncology, EarlyView.We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu +10 more
wiley +1 more source
Quantitative structure-activity relationship and machine learning
, 2023 Quantitative structure-activity relationship (QSAR) computational methods allow us to examine the relationship between the chemical structure of molecules and their chemical or biological properties.
Nierostek, Jakub
core
, 2022 QSAR analysis from derivative compounds of 1,8-naphthalimide-4-aminoquinoline has been carried out with the aim of knowing the quantitative relationship between structure and activity based on the log IC50 value.
Ika Nur Fitriani +5 more
core +1 more source
Molecular Oncology, EarlyView.Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source
The effects of cinnamaldehyde and eugenol on human adipose-derived mesenchymal stem cells viability, growth and differentiation: a cheminformatics and in vitro study [PDF]
Avicenna Journal of Phytomedicine, 2016 Objective: The aim of this study was to estimate the cheminformatics and qualitative structure-activity relationship (QSAR) of cinnamaldehyde and eugenol.
Abdorrahim Absalan +3 more
doaj +1 more source