Results 261 to 270 of about 254,188 (362)

Structural mechanism for the recognition of E2F1 by the ubiquitin ligase adaptor Cyclin F. [PDF]

open access: yesProc Natl Acad Sci U S A
Ngoi P   +6 more
europepmc   +1 more source

Artificial intelligence strategies for predicting kinase inhibitor resistance: A comprehensive review of methods, challenges, and future perspectives

open access: yesJournal of Intelligent Medicine, EarlyView.
Abstract Kinase inhibitors are essential in targeted cancer therapy, yet resistance often emerges through secondary mutations, activation of compensatory signaling pathways, or drug‐efflux mechanisms. Artificial intelligence (AI) provides a workflow‐based strategy rather than a list of unrelated tools for predicting and addressing kinase‐inhibitor ...
Faris Hassan   +3 more
wiley   +1 more source

LRRC58 defines an E3 ubiquitin ligase complex sensitive to cysteine abundance

open access: yes
Ramage DE   +14 more
europepmc   +1 more source

Arylsulfatase B induces melanoma apoptosis by the ubiquitin ligase COP1. [PDF]

open access: yesJ Biol Chem
Bhattacharyya S   +5 more
europepmc   +1 more source

UBE3A Inhibits Trophoblast Cell Migration and Invasion by Promoting ITGB1 Degradation and Affecting PI3K/AKT Signaling

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Preeclampsia (PE) is an obstetric disease that is characterized by reduced migration and invasion of placental trophoblast cells. Here, the effects of the E3 ubiquitin ligase UBE3A on the migration and invasion of trophoblast cells were evaluated.
Xiu‐Jun Li   +5 more
wiley   +1 more source

The E3 ubiquitin ligase, RNF219, suppresses CNOT6L expression to exhibit antiproliferative activity. [PDF]

open access: yesFEBS Open Bio
Soeda S   +9 more
europepmc   +1 more source

Data‐Independent Acquisition Mass Spectrometry in Tumor Classification and Cancer Biomarker Research

open access: yesMass Spectrometry Reviews, EarlyView.
Abstract Cancer treatment is far from optimal also because current classification systems do not reflect the complex molecular status of the tumor and its phenotype in sufficient detail. To construct molecular tumor classifiers, omics tools provide complex molecular data reflecting many aspects from genotype to phenotype.
Jan Simonik   +3 more
wiley   +1 more source

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