Results 201 to 210 of about 8,544,817 (263)

FOXC2 represses NFAT1-dependent transcription through a DNA-facilitated protein-protein interaction. [PDF]

Nucleic Acids Res
Chen X, Wu S, Yue S, Zhang L, Liu X, Dai S, Li J, Zhang H, Wei H, Guo M, Qu L, Chen L, Deng Y, Chen Y.   +13 more
europepmc   +1 more source

Arginine methylation as a regulatory ratchet in cancer: From substrate selection to malignant‐state stabilization

Molecular Oncology, EarlyView.
Arginine methylation can be viewed as a persistence‐prone post‐translational modification regulated by a network of PRMTs. Competitive and compensatory interactions among PRMTs can redistribute methylation across substrate pools shaped by sequence, structural, spatial, and environmental layers, reinforcing RNA‐processing, chromatin, and signaling ...
So Hyun Kwon, Ji Min Lee
wiley   +1 more source

A protein-protein interaction inhibitor arrests the cell cycle in <i>Aspergillus fumigatus</i>. [PDF]

mBio
Storer ISR, Thornton BP, Hackett AS, Tabernero L, Bromley MJ.   +4 more
europepmc   +1 more source

Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer

Molecular Oncology, EarlyView.
Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim, Maryam Aslam, Elouise Torruella, Alphons Sony, Asif Rahman, Simira Smith, Columba de la Parra, Moira Sauane   +7 more
wiley   +1 more source

ProtAttn-QuadNet: An attention-based deep learning framework for protein-protein interaction prediction using ProtBERT embeddings. [PDF]

PLoS One
Islam MS, Mim MMR, Kabir MR.
europepmc   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer

Molecular Oncology, EarlyView.
Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad, Silvio Carlo Ermanno Tosatto, Emanuela Leonardi   +2 more
wiley   +1 more source

SAKE-PP: A Spatial-Attention Equivariant Network for Accurate Ranking of Protein-Protein Interaction Models. [PDF]

JACS Au
Xu Y, Xia W, Zhang C, Liu X, Ju CW, Dai X, Xie P, Wang Y, Chen G, Zhang JZH.   +9 more
europepmc   +1 more source

Regulation of the lncRNA NEAT1 by p53‐ΔNp63 crosstalk modulates the DNA damage response and therapeutic efficacy in HNSCC

Molecular Oncology, EarlyView.
In head and neck squamous cell carcinoma (HNSCC) p53 and p63 exert opposite roles on the transcription regulation of the lncRNA NEAT1. Under basal conditions, p53 levels are low and p63 represses NEAT1 expression. Upon genotoxic stress, p53 is rapidly induced, displacing p63 from the NEAT1 promoter leading to NEAT1 transcriptional activation and ...
Sara De Domenico, Veronica La Banca, Silvia D'Amico, Stefano Scalera, Sara Nicolai, Angelo Peschiaroli   +5 more
wiley   +1 more source

Machine Learning and Deep Learning Frameworks for Human-Virus Protein-Protein Interaction Prediction: Emerging Architectures, Methods, Benchmarks, and Challenges. [PDF]

Int J Mol Sci
Basu S, Adhikary D, Ghosh K, Chattopadhyay S, Deb S, Mondal R, Roy J, Chowdhury A, Benito-León J.   +8 more
europepmc   +1 more source