AIMC Topic: Drug Screening Assays, Antitumor

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Automated spheroid generation, drug application and efficacy screening using a deep learning classification: a feasibility study.

Scientific reports Jul 6, 2020
The last two decades saw the establishment of three-dimensional (3D) cell cultures as an acknowledged tool to investigate cell behaviour in a tissue-like environment. Cells growing in spheroids differentiate and develop different characteristics in c...
Humans Drug Screening Assays, Antitumor Pharmaceutical Preparations Feasibility Studies Tumor Cells, Cultured Spheroids, Cellular Neural Networks, Computer Neoplasms Deep Learning Cell Survival
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Beyond the limitation of targeted therapy: Improve the application of targeted drugs combining genomic data with machine learning.

Pharmacological research May 28, 2020
Precision oncology involves effectively selecting drugs for cancer patients and planning an effective treatment regimen. However, for Molecular targeted drug, using genomic state of the drug target to select drugs has limitations. Many patients who c...
Humans Machine Learning Gene Expression Regulation, Neoplastic Signal Transduction Databases, Genetic Models, Statistical Neoplasms Drug Screening Assays, Antitumor Antineoplastic Agents Decision Support Techniques Molecular Targeted Therapy Pharmacogenetics Precision Medicine Cell Line, Tumor Clinical Decision-Making Genomics Biomarkers, Tumor
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Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatments.

Scientific reports May 6, 2020
We describe a novel method to achieve a universal, massive, and fully automated analysis of cell motility behaviours, starting from time-lapse microscopy images. The approach was inspired by the recent successes in application of machine learning for...
Molecular Imaging Humans Bioengineering Machine Learning Cell Tracking Algorithms Time-Lapse Imaging Reproducibility of Results Antineoplastic Agents Computational Biology Drug Screening Assays, Antitumor
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System-level responses to cisplatin in pro-apoptotic stages of breast cancer MCF-7 cell line.

Computational biology and chemistry Nov 2, 2019
Cisplatin ceases cell division and induces apoptosis in cancer cell lines. It is well established that cisplatin alters the expression of many genes involved in several cellular processes and pathways including transcription, p53 signaling pathway, a...
Drug Discovery Antineoplastic Agents Protein Interaction Maps Gene Regulatory Networks Gene Expression Regulation, Neoplastic Humans Software Female Breast Neoplasms MCF-7 Cells Cisplatin Gene Ontology Cell Proliferation Apoptosis Neoplasm Proteins Drug Screening Assays, Antitumor
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Label-Free Estimation of Therapeutic Efficacy on 3D Cancer Spheres Using Convolutional Neural Network Image Analysis.

Analytical chemistry Oct 24, 2019
Despite recent advances in cancer treatment, developing better therapeutic reagents remains an essential task for oncologists. To accurately characterize drug efficacy, 3D cell culture holds great promise as opposed to conventional 2D monolayer cultu...
Cell Survival Drug Screening Assays, Antitumor Structure-Activity Relationship Equipment Design Doxorubicin Optical Imaging Tumor Cells, Cultured Antibiotics, Antineoplastic Microfluidic Analytical Techniques Neural Networks, Computer Breast Neoplasms Humans Image Processing, Computer-Assisted Cell Proliferation Dose-Response Relationship, Drug
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Time-dependent AI-Modeling of the anticancer efficacy of synthesized gallic acid analogues.

Computational biology and chemistry Feb 16, 2019
BACKGROUND/AIM: Main objective of this study is mapping of the anticancer efficacy of synthesized gallic acid analogues using modeling and artificial intelligence (AI) over a large range of concentrations and exposure times to explore the underline m...
Molecular Structure Gallic Acid PC-3 Cells Antineoplastic Agents Support Vector Machine Humans Time Factors Dose-Response Relationship, Drug Cell Line, Tumor Artificial Intelligence Drug Screening Assays, Antitumor Cell Proliferation Machine Learning Structure-Activity Relationship Algorithms Models, Molecular
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Design and synthesis of new phthalazine-based derivatives as potential EGFR inhibitors for the treatment of hepatocellular carcinoma.

Bioorganic chemistry Dec 31, 2018
Searching for new leads in the battle of cancer will never ends, we herein disclose the design and synthesis of new phthalazine derivatives and their in vitro and in vivo testing for their antiproliferative activity. Phthalazine was selected as a pri...
Doxorubicin Carcinoma, Hepatocellular ErbB Receptors Cell Proliferation Phthalazines Humans Protein Kinase Inhibitors Hep G2 Cells Molecular Docking Simulation Drug Screening Assays, Antitumor Antineoplastic Agents Cisplatin Liver Neoplasms
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A Functional Signature Ontology (FUSION) screen detects an AMPK inhibitor with selective toxicity toward human colon tumor cells.

Scientific reports Feb 28, 2018
AMPK is a serine threonine kinase composed of a heterotrimer of a catalytic, kinase-containing α and regulatory β and γ subunits. Here we show that individual AMPK subunit expression and requirement for survival varies across colon cancer cell lines....
Humans Cell Line, Tumor Biological Products Cell Survival Protein Kinase Inhibitors Drug Screening Assays, Antitumor AMP-Activated Protein Kinases Colonic Neoplasms Biological Ontologies
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Machine learning prioritizes synthesis of primaquine ureidoamides with high antimalarial activity and attenuated cytotoxicity.

European journal of medicinal chemistry Jan 31, 2018
Primaquine (PQ) is a commonly used drug that can prevent the transmission of Plasmodium falciparum malaria, however toxicity limits its use. We prepared five groups of PQ derivatives: amides 1a-k, ureas 2a-k, semicarbazides 3a,b, acylsemicarbazides 4...
Molecular Structure Antimalarials Malaria, Falciparum Erythrocytes Primaquine Cell Line Amides Antineoplastic Agents Drug Screening Assays, Antitumor Rats Structure-Activity Relationship Cell Proliferation Plasmodium falciparum Humans Dose-Response Relationship, Drug Machine Learning Animals
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Chemical findings and in vitro biological studies to uphold the use of Ficus exasperata Vahl leaf and stem bark.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association Dec 27, 2017
Ficus exasperata Vahl, commonly known as sandpaper, is a terrestrial Afro-tropical tree used in popular medicine. Despite the existence of some works on the biological activities of this species, its chemical composition is still poorly known. The ai...
Drug Screening Assays, Antitumor Plant Bark Chromatography, High Pressure Liquid Inhibitory Concentration 50 Spectrometry, Mass, Electrospray Ionization Humans Hypoglycemic Agents Spectrophotometry, Ultraviolet Free Radical Scavengers Plant Stems Dose-Response Relationship, Drug Reproducibility of Results Functional Food Superoxides Dietary Supplements Cell Line, Tumor Plant Leaves Ficus Plant Extracts Nitric Oxide
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