AIMC Topic: High-Throughput Screening Assays

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A novel machine learning method for cytokine-receptor interaction prediction.

Combinatorial chemistry & high throughput screening Jan 1, 2016
Most essential functions are associated with various protein-protein interactions, particularly the cytokine-receptor interaction. Knowledge of the heterogeneous network of cytokine- receptor interactions provides insights into various human physiolo...
Databases, Protein Machine Learning High-Throughput Screening Assays Humans Protein Binding Cytokines Receptors, Cytokine
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A systematic approach to prioritize drug targets using machine learning, a molecular descriptor-based classification model, and high-throughput screening of plant derived molecules: a case study in oral cancer.

Molecular bioSystems Dec 1, 2015
Systems-biology inspired identification of drug targets and machine learning-based screening of small molecules which modulate their activity have the potential to revolutionize modern drug discovery by complementing conventional methods. To utilize ...
Gene Regulatory Networks Protein Binding ROC Curve Antineoplastic Agents, Phytogenic Receptors, CXCR4 Gene Expression Regulation, Neoplastic Computational Biology Machine Learning Cell Line, Tumor Drug Discovery Humans Molecular Conformation Mouth Neoplasms Protein Interaction Mapping High-Throughput Screening Assays Binding Sites Models, Molecular
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Robotic printing and drug testing of 384-well tumor spheroids.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2015
A major impediment to anti-cancer drug development is the lack of a reliable and inexpensive tumor model to test the efficacy of candidate compounds. This need has emerged due to the insufficiency of widely-used monolayer cultures to predict drug eff...
Drug Screening Assays, Antitumor Equipment Design Robotics Antineoplastic Agents Triple Negative Breast Neoplasms Female Doxorubicin Polymers Spheroids, Cellular High-Throughput Screening Assays Humans
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Multiplexed TEM Specimen Preparation and Analysis of Plasmonic Nanoparticles.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada Aug 1, 2015
We describe a system for rapidly screening hundreds of nanoparticle samples using transmission electron microscopy (TEM). The system uses a liquid handling robot to place up to 96 individual samples onto a single standard TEM grid at separate locatio...
Specimen Handling Microscopy, Electron, Transmission Nanoparticles High-Throughput Screening Assays Robotics
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On the Origins of Hepatitis C Virus NS5B Polymerase Inhibitory Activity Using Machine Learning Approaches.

Current topics in medicinal chemistry Jan 1, 2015
Inhibition of non-structural protein 5B (NS5B) represents an attractive strategy for the therapeutic treatment of hepatitis C virus (HCV). In this study, machine learning classifiers such as artificial neural network (ANN), support vector machine (SV...
Molecular Structure Viral Nonstructural Proteins Enzyme Inhibitors Drug Design High-Throughput Screening Assays Machine Learning Structure-Activity Relationship
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Some remarks on prediction of protein-protein interaction with machine learning.

Medicinal chemistry (Shariqah (United Arab Emirates)) Jan 1, 2015
Protein-protein interactions (PPIs) play a key role in many cellular processes. Uncovering the PPIs and their function within the cell is a challenge of post-genomic biology and will improve our understanding of disease and help in the development of...
Machine Learning Algorithms High-Throughput Screening Assays Protein Binding Proteins
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