Results 151 to 160 of about 6,564,767 (266)

MEGH-DDI: MolT5-driven edge-aware graph learning with Hop2Token representation for drug-drug interaction prediction. [PDF]

PLoS Comput Biol
Zhou L, Zuo Y, He W, Deng Z.
europepmc   +1 more source

SPHINX31 acts as a SRPK1 inhibitor targeting the ATR/DNA‐PKcs/CHK1 replicative checkpoint to inhibit cell growth in non‐small cell lung cancer

Molecular Oncology, EarlyView.
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim, Aurelie Genoux, Nadiia Zubchuk, Haoyang Zheng, Perla Salameh, Theo Ziegelmeyer, Fabien Dalonneau, Margot Rouchette, Christiane Oddou, Simona Miron, Helene Polveche, Adiilah Mamode Cassim, Carmen Garrido, Eleni Nikolakaki, Didier Auboeuf, Tao Jia, Sophie Zinn‐Justin, Beatrice Eymin   +17 more
wiley   +1 more source

InfoMedex: drug-drug interaction prediction via a multimodal CNN-transformer model. [PDF]

Front Drug Saf Regul
Disharoon A, Pasupuleti S, Thurston C, Fiore M, McKenzie S, Smith A, Masino AJ.   +6 more
europepmc   +1 more source

Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation

Molecular Oncology, EarlyView.
How mutant p53R273H drives AKT signaling is unclear. We show that p53R273H, but not wild‐type, directly binds PDPK1 via a mutation‐dependent conformational change. This interaction disrupts inhibitory PDPK1 homodimerization and enhances AKT phosphorylation.
Mei Chee Lim, Alvin Kunyao Guo, Yoko Itahana, Srinivasaraghavan Kannan, Valerie Goh, Mingmin Ong, Terina Yan Wen Tay, Weiying Ye, Sabhashina Radha Krishnan, Jun Nishiyama, Chandra S Verma, Koji Itahana   +11 more
wiley   +1 more source

Navigating uncertainty matters: Evaluating large language models for drug-drug interaction identification. [PDF]

J Manag Care Spec Pharm
Tilley A, Murray B, Henry K, Zhao X, Gao Y, Blotske K, Sikora A.   +6 more
europepmc   +1 more source

Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer

Molecular Oncology, EarlyView.
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba, Mark Shacker, Timothy P. Fleming, Michael A. Smith, Ross M. Bremner, Narendra V. Sankpal   +5 more
wiley   +1 more source

Tail-aware heterogeneous graph neural networks for multi-class drug-drug interaction prediction. [PDF]

Bioinformatics
Venkatesh V, G V, S M D.
europepmc   +1 more source

Characterization of therapeutic antibodies targeting lymphatic and vascular resistance factor for the treatment of hypervascularized and highly metastatic cancers

Molecular Oncology, EarlyView.
LVRF (lymphatic and vascular resistance factor) is a VEGFA splice variant upregulated in response to anti‐angiogenic therapy that fosters tumor adaptation through enhanced vascularization, lymphangiogenesis, and metastatic dissemination. Targeting LVRF with fully human neutralizing antibodies disrupts these processes and limits resistant tumor growth ...
Marion David, Arthur Karaulic, Audrey Bennetot, Clémence Fournier, Quentin Odet, Arthur Gouraud, Isabelle Bourget, Cédric Gaggioli, Sandy Giuliano, Frédéric Luciano, Olivier Léger, Zaki Sellam, Gilles Pagès   +12 more
wiley   +1 more source

DDI-HierPred: An Artificial Intelligence-Based Hierarchical PK/PD Platform for Drug-Drug Interaction Prediction. [PDF]

Pharmaceutics
Ouassaf M, Alhatlani BY.
europepmc   +1 more source

Drug-related and drug misuse deaths in Northern Ireland, 2023.

Due to an error in the classification of Pregabalin and Gabapentin in previous reports (not counted in drug misuse deaths) a correction has been made to the number of drug misuse deaths from 2020 to 2022 previously ...

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