AIMC Topic: Antineoplastic Agents

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Identification of novel CDK2 inhibitors by a multistage virtual screening method based on SVM, pharmacophore and docking model.

Journal of enzyme inhibition and medicinal chemistry Dec 1, 2020
Cyclin-dependent kinase 2 (CDK2) is the family of Ser/Thr protein kinases that has emerged as a highly selective with low toxic cancer therapy target. A multistage virtual screening method combined by SVM, protein-ligand interaction fingerprints (PLI...
Support Vector Machine Dose-Response Relationship, Drug Drug Screening Assays, Antitumor Molecular Docking Simulation Antineoplastic Agents Cell Proliferation Drug Evaluation, Preclinical HCT116 Cells Protein Kinase Inhibitors Cyclin-Dependent Kinase 2 Structure-Activity Relationship A549 Cells Molecular Structure Humans
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Synthesis and evaluation of a novel nanosized anionic linear globular dendrimer G2-ciprofloxacin conjugate against prostate cancer.

Pakistan journal of pharmaceutical sciences Nov 1, 2020
Prostate cancer is the second most common cancer in the world and the fifth cause of cancer deaths in men. Ciprofloxacin enables the inhabitation of the development of prostate cancer. In this regard, we plan to improve the anticancer effect of cipro...
Prostatic Neoplasms Antineoplastic Agents Proto-Oncogene Proteins c-bcl-2 Humans Nanostructures Ciprofloxacin Cell Line, Tumor Drug Delivery Systems Dendrimers bcl-2-Associated X Protein Apoptosis Male
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Prediction of survival rate and effect of drugs on cancer patients with somatic mutations of genes: An AI-based approach.

Chemical biology & drug design Sep 1, 2020
The causal role of somatic mutation and its interrelationship with gene expression profile during tumor development has already been observed, which plays a major role to decide the cancer grades and overall survival. Accurate and robust prediction o...
Neoplasms Humans Mutation Machine Learning Antineoplastic Agents Cohort Studies Survival Rate Transcriptome Polymorphism, Single Nucleotide
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[Synergistic drug combination prediction in multi-input neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2020
Synergistic effects of drug combinations are very important in improving drug efficacy or reducing drug toxicity. However, due to the complex mechanism of action between drugs, it is expensive to screen new drug combinations through trials. It is wel...
Humans Neural Networks, Computer Neoplasms Antineoplastic Agents Computational Biology Drug Combinations
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Enzyme-powered Janus platelet cell robots for active and targeted drug delivery.

Science robotics Jun 10, 2020
Transforming natural cells into functional biocompatible robots capable of active movement is expected to enhance the functions of the cells and revolutionize the development of synthetic micromotors. However, present cell-based micromotor systems co...
Models, Molecular Equipment Design Urease Cell Line, Tumor Escherichia coli Robotics Multifunctional Nanoparticles Motion Blood Platelets Enzymes, Immobilized Drug Delivery Systems Antineoplastic Agents Humans Anti-Bacterial Agents
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Multifunctional surface microrollers for targeted cargo delivery in physiological blood flow.

Science robotics May 20, 2020
Mobile microrobots offer great promise for minimally invasive targeted medical theranostic applications at hard-to-access regions inside the human body. The circulatory system represents the ideal route for navigation; however, blood flow impairs pro...
Biomimetic Materials Magnetics Multifunctional Nanoparticles Doxorubicin Microtechnology Surface Properties Robotics Equipment Design Motion Humans Precision Medicine Hemodynamics Cell Line, Tumor Drug Delivery Systems Antineoplastic Agents
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Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?

Drug safety Mar 1, 2020
Quality Indicators, Health Care Clinical Trials as Topic Machine Learning Adverse Drug Reaction Reporting Systems Drug-Related Side Effects and Adverse Reactions Patient Safety Humans Neoplasms Research Report Antineoplastic Agents Quality Assurance, Health Care
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Artificial intelligence in cancer therapy.

Science (New York, N.Y.) Feb 28, 2020
Humans Artificial Intelligence Neoplasms Antineoplastic Agents Drug Design Drug Discovery
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Ensembled machine learning framework for drug sensitivity prediction.

IET systems biology Feb 1, 2020
Drug sensitivity prediction is one of the critical tasks involved in drug designing and discovery. Recently several online databases and consortiums have contributed to providing open access to pharmacogenomic data. These databases have helped in dev...
Antineoplastic Agents Pharmacogenetics Cell Line, Tumor Humans Machine Learning Drug Resistance, Neoplasm Algorithms Databases, Pharmaceutical Neoplasms
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Adaptive back-stepping cancer control using Legendre polynomials.

IET systems biology Feb 1, 2020
Here, a model-free controller for cancer treatment is presented. The treatment objective is to find a proper drug dosage that can reduce the population of tumour cells. Recently, some solutions have been proposed according to the control theory. In t...
Humans Uncertainty Antineoplastic Agents Computational Biology Neural Networks, Computer Models, Biological Algorithms Neoplasms
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