AIMC Topic: Lapatinib

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Optimizing kinase and PARP inhibitor combinations through machine learning and in silico approaches for targeted brain cancer therapy.

Molecular diversity Jan 22, 2025
The drug combination is an attractive approach for cancer treatment. PARP and kinase inhibitors have recently been explored against cancer cells, but their combination has not been investigated comprehensively. In this study, we used various drug com...
Piperidines Molecular Targeted Therapy Molecular Dynamics Simulation Poly(ADP-ribose) Polymerase Inhibitors Lapatinib Protein Kinase Inhibitors Indazoles Computer Simulation Blood-Brain Barrier Brain Neoplasms Humans Molecular Docking Simulation Machine Learning
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Noncirrhotic Portal Hypertension after Trastuzumab Emtansine in HER2-positive Breast Cancer as Determined by Deep Learning-measured Spleen Volume at CT.

Radiology Aug 9, 2022
Background Trastuzumab emtansine (T-DM1) is an antibody-drug conjugate approved for use in human epidermal growth factor receptor 2 (HER2)-positive breast cancer. Case reports have suggested an association between T-DM1 and portal hypertension. Purpo...
Capecitabine Receptor, ErbB-2 Antineoplastic Combined Chemotherapy Protocols Hypertension, Portal Splenomegaly Spleen Lapatinib Female Breast Neoplasms Middle Aged Deep Learning Retrospective Studies Ado-Trastuzumab Emtansine Tomography, X-Ray Computed Humans
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Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction.

BMC bioinformatics Nov 12, 2020
BACKGROUND: Protein kinases are a large family of druggable proteins that are genomically and proteomically altered in many human cancers. Kinase-targeted drugs are emerging as promising avenues for personalized medicine because of the differential r...
Cell Line, Tumor Protein Interaction Maps Lung Neoplasms Carcinoma, Non-Small-Cell Lung Neural Networks, Computer ErbB Receptors Precision Medicine Protein Kinase Inhibitors MAP Kinase Signaling System Lapatinib Mutation Humans Quantitative Structure-Activity Relationship Afatinib
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Disentangling multidimensional spatio-temporal data into their common and aberrant responses.

PloS one Apr 22, 2015
With the advent of high-throughput measurement techniques, scientists and engineers are starting to grapple with massive data sets and encountering challenges with how to organize, process and extract information into meaningful structures. Multidime...
Principal Component Analysis Mutation Female Neural Networks, Computer Breast Neoplasms Humans Gene Expression Regulation, Neoplastic Algorithms Quinazolines Proto-Oncogene Proteins c-akt Biomarkers, Tumor Lapatinib Protein Array Analysis Gene Regulatory Networks
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