Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 2024
Language: Английский
Journal of Molecular Biology, Journal Year: 2025, Volume and Issue: unknown, P. 169050 - 169050
Published: Feb. 1, 2025
Language: Английский
Citations
2Journal of Chemical Information and Modeling, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 10, 2025
mTOR plays a crucial role in PI3K/AKT/mTOR signaling. We hypothesized that activation mechanisms driving oncogenesis can advise effective therapeutic designs. To test this, we combined cancer genomic analysis with extensive molecular dynamics simulations of oncogenic variants. observed conformational changes within kinase domain are associated multiple mutational events. The mutations disturb the α-packing formed by kαAL, kα3, kα9, kα9b, and kα10 helices domain, creating cryptic pocket. Its opening correlates catalytic cleft, including active site residues realignment, favoring catalysis. pocket created disrupted coincides allosteric PI3Kα be harmoniously fitted inhibitor RLY-2608, suggesting analogous drugs designed based on RLY-2608 restore packed α-structure, resulting inactive conformation. Our results exemplify knowledge detailed inform innovative development.
Language: Английский
Citations
1Journal of Molecular Biology, Journal Year: 2025, Volume and Issue: unknown, P. 168998 - 168998
Published: Feb. 1, 2025
Language: Английский
Citations
0Published: Jan. 1, 2025
Citations
0Journal of Molecular Biology, Journal Year: 2025, Volume and Issue: unknown, P. 169044 - 169044
Published: Feb. 1, 2025
Language: Английский
Citations
0Journal of Chemical Information and Modeling, Journal Year: 2025, Volume and Issue: unknown
Published: March 21, 2025
Understanding the impact of common germline variants on protein structure, function, and disease progression is crucial in cancer research. This study presents a comprehensive analysis EXO5 gene, which encodes DNA exonuclease involved repair that was previously associated with susceptibility. We employed an integrated approach combining genomic clinical data analysis, deep learning variant effect prediction, molecular dynamics (MD) simulations to investigate effects haplotypes dynamics, outcomes. characterized haplotype structure across diverse human populations, identifying five haplotypes, studied their protein. Extensive, all-atom MD revealed significant structural dynamic differences among variants, particularly catalytic region. The L151P exhibited most substantial conformational changes, potentially disruptive for EXO5′s function nuclear localization. Analysis Cancer Genome Atlas showed patients carrying had significantly shorter progression-free survival prostate pancreatic cancers increased instability. highlights strength our methodology uncovering genetic implications
Language: Английский
Citations
0Journal of Molecular Biology, Journal Year: 2025, Volume and Issue: unknown, P. 169133 - 169133
Published: April 1, 2025
Citations
0Biology Direct, Journal Year: 2025, Volume and Issue: 20(1)
Published: May 23, 2025
Language: Английский
Citations
0Published: Jan. 1, 2024
Language: Английский
Citations
0