Results 111 to 120 of about 4,499,855 (300)

MITF maintains genome stability in nonmelanocyte lineages

Molecular Oncology, EarlyView.
MITF is essential for melanocyte survival and acts as an oncogene in 10%–20% of melanomas. We show that MITF depletion causes genome instability in nonmelanocytic cells, leading to LATS2‐mediated P53 activation, cell cycle arrest, and apoptosis. This study highlights the role of MITF as a genome maintenance factor beyond the melanocyte lineage. Created
Drifa H. Gudmundsdottir, Adrián López García de Lomana, Thejus B. Venkatesh, Kritika Kirty, Snaevar Sigurdsson, Linda Vidarsdottir, Ramile Dilshat, Erla Sveinbjornsdottir, Snaedis Ragnarsdottir, Daniel H Magnusson, Maria R. Bustos, Eirikur Steingrimsson, Thorkell Gudjonsson, Stefan Sigurdsson   +13 more
wiley   +1 more source

PyRates-A code-generation tool for modeling dynamical systems in biology and beyond. [PDF]

PLoS Comput Biol, 2023
Gast R, Knösche TR, Kennedy A.
europepmc   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source

Code Generation by Example

Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development, 2022
Kevin Lano, Qiaomu Xue
openaire   +2 more sources

A systematic literature review on the impact of AI models on the security of code generation

Frontiers in Big Data
IntroductionArtificial Intelligence (AI) is increasingly used as a helper to develop computing programs. While it can boost software development and improve coding proficiency, this practice offers no guarantee of security.
Claudia Negri-Ribalta, Rémi Geraud-Stewart, Anastasia Sergeeva, Gabriele Lenzini   +3 more
doaj   +1 more source

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

Molecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola, Yasmine Illi, Anna Bircher, Marijn Wilmink, Rachele F. Malagutti, Solenn Ottié, Cordelia Schuler, Pedro A. Ruiz, Cheryl de Vallière, Klaus Seuwen, Gerhard Rogler, Martin Hausmann   +11 more
wiley   +1 more source

Semantic composition of robotic solver algorithms on graph structures

Frontiers in Robotics and AI
This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific computational building blocks that prevent code ...
Sven Schneider, Sven Schneider, Nico Hochgeschwender, Herman Bruyninckx, Herman Bruyninckx, Herman Bruyninckx   +5 more
doaj   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

RateML: A Code Generation Tool for Brain Network Models. [PDF]

Front Netw Physiol, 2022
van der Vlag M, Woodman M, Fousek J, Diaz-Pier S, Pérez Martín A, Jirsa V, Morrison A.   +6 more
europepmc   +1 more source

A Bibliometric Exposition and Review on Leveraging LLMs for Programming Education

IEEE Access
The world is experiencing an AI revolution, with large language models (LLMs) transforming various industries, including education. Academics are striving to harness the potential of LLMs while also contending with their risks.
Joanah Pwanedo Amos, Oluwatosin Ahmed Amodu, Raja Azlina Raja Mahmood, Akanbi Bolakale Abdulqudus, Anies Faziehan Zakaria, Abimbola Rhoda Iyanda, Umar Ali Bukar, Zurina Mohd Hanapi   +7 more
doaj   +1 more source