AIMC Topic: Antineoplastic Agents
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Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Mar 4, 2020
Cardiotoxicity related to cancer therapies has become a serious issue, diminishing cancer treatment outcomes and quality of life. Early detection of cancer patients at risk for cardiotoxicity before cardiotoxic treatments and providing preventive mea...
RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistance.
Scientific reports
Feb 5, 2020
Cancer is one of the most difficult diseases to treat owing to the drug resistance of tumour cells. Recent studies have revealed that drug responses are closely associated with genomic alterations in cancer cells. Numerous state-of-the-art machine le...
Machine learning can identify newly diagnosed patients with CLL at high risk of infection.
Nature communications
Jan 17, 2020
Infections have become the major cause of morbidity and mortality among patients with chronic lymphocytic leukemia (CLL) due to immune dysfunction and cytotoxic CLL treatment. Yet, predictive models for infection are missing. In this work, we develop...
Machine and deep learning approaches for cancer drug repurposing.
Seminars in cancer biology
Jan 3, 2020
Knowledge of the underpinnings of cancer initiation, progression and metastasis has increased exponentially in recent years. Advanced "omics" coupled with machine learning and artificial intelligence (deep learning) methods have helped elucidate targ...
Harnessing big 'omics' data and AI for drug discovery in hepatocellular carcinoma.
Nature reviews. Gastroenterology & hepatology
Jan 3, 2020
Hepatocellular carcinoma (HCC) is the most common form of primary adult liver cancer. After nearly a decade with sorafenib as the only approved treatment, multiple new agents have demonstrated efficacy in clinical trials, including the targeted thera...
Propofol affects the growth and metastasis of pancreatic cancer via ADAM8.
Pharmacological reports : PR
Dec 20, 2019
BACKGROUND: Anesthesia is a major component of surgery and recently considered an important regulator of cell phenotypes. Here we aimed to investigate propofol, an anesthesia drug, in suppressing pancreatic cancer (PDAC), focusing on A disintegrin an...
Neoplasm Metastasis
MAP Kinase Signaling System
ADAM Proteins
Mice, SCID
Pancreatic Neoplasms
Humans
Matrix Metalloproteinase 9
Matrix Metalloproteinase 2
Cell Proliferation
Xenograft Model Antitumor Assays
Animals
Propofol
Antineoplastic Agents
Cell Movement
Cell Line, Tumor
Apoptosis
Membrane Proteins
Neoplasm Invasiveness
Efficient identification of novel anti-glioma lead compounds by machine learning models.
European journal of medicinal chemistry
Dec 19, 2019
Glioblastoma multiforme (GBM) is the most devastating and widespread primary central nervous system tumor. Pharmacological treatment of this malignance is limited by the selective permeability of the blood-brain barrier (BBB) and relies on a single d...
Latest trends in structure based drug design with protein targets.
Advances in protein chemistry and structural biology
Dec 18, 2019
Structure based drug designing is an important endeavor in the field of structural bioinformatics. Previously the entire process was dependent on the wet-lab experiments to build libraries of ligand molecules. And the molecules used to be tested to d...
Machine Learning
Anti-Bacterial Agents
Molecular Docking Simulation
Drug Design
Antineoplastic Agents
Anti-HIV Agents
Binding Sites
Protein Binding
Proteins
Thermodynamics
Computational Biology
Humans
Structure-Activity Relationship
Drugs, Investigational
Neuroprotective Agents
Molecular Dynamics Simulation
Ligands
A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients.
International journal of molecular sciences
Dec 12, 2019
Heterogeneity in intratumoral cancers leads to discrepancies in drug responsiveness, due to diverse genomics profiles. Thus, prediction of drug responsiveness is critical in precision medicine. So far, in drug responsiveness prediction, drugs' molecu...
Synthesis and biological characterization of MnZnEuDyFeO nanoparticles by sonochemical approach.
Materials science & engineering. C, Materials for biological applications
Dec 6, 2019
Metallic nanoparticles (NPs) possess unique properties which makes them attractive candidates for various applications especially in field of experimental medicine and drug delivery. Many approaches were developed to synthesize divers and customized ...
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