Results 121 to 130 of about 455,903 (307)

Few-Shot Graph Learning for Molecular Property Prediction

, 2021
Zhichun Guo, Chuxu Zhang, Wenhao Yu, John E. Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla   +6 more
openalex   +1 more source

Finding novel vulnerabilities of hypomorphic BRCA1 alleles

Molecular Oncology, EarlyView.
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder, Klaas de Lint, Hồ Mỹ Phúc Võ, Mariana M. Góis, Rosalie A. Kampen, Marta San Martin Alonso, Ilse Nootenboom, Veronica Garzero, Tiemen J. Wendel, Rob M. F. Wolthuis, Sylvie M. Noordermeer   +10 more
wiley   +1 more source

Application of deep metric learning to molecular graph similarity. [PDF]

J Cheminform, 2022
Coupry DE, Pogány P.
europepmc   +1 more source

Federated Learning of Molecular Properties With Graph Neural Networks in a Heterogeneous Setting

, 2022
Wei Zhu, Andrew Dickson White, Jiebo Luo
openalex   +1 more source

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

Topology-enhanced molecular graph representation for anti-breast cancer drug selection. [PDF]

BMC Bioinformatics, 2022
Gao Y, Chen S, Tong J, Fu X.
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

Surprising acidity for the methylene of 1,3-indenocorannulenes?

Beilstein Journal of Organic Chemistry
Quantitative assessment of the first acidity constant (pKa) for BFC (27.6 in CH3CN) and FIC (27.8 in CH3CN) shows the methylene protons to be significantly more acidic than those in related cyclopentadiene (32 in CH3CN), indene (34 in CH3CN), or fluorene
Shi Liu, Märt Lõkov, Sofja Tshepelevitsh, Ivo Leito, Kim K. Baldridge, Jay S. Siegel   +5 more
doaj   +1 more source

Chemistry-informed molecular graph as reaction descriptor for machine-learned retrosynthesis planning. [PDF]

Proc Natl Acad Sci U S A, 2022
Zhang B, Zhang X, Du W, Song Z, Zhang G, Zhang G, Wang Y, Chen X, Jiang J, Luo Y.   +9 more
europepmc   +1 more source

Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization [PDF]

, 2021
Chaojie Ji, Yijia Zheng, Ruxin Wang, Yunpeng Cai, Hongyan Wu   +4 more
openalex   +1 more source