AIMC Topic: Biological Assay
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Validation of oxidative stress assay for schizophrenia.
Schizophrenia research
Aug 6, 2019
Accumulating evidence implicates oxidative stress in a range of diseases, yet no objective measurement has emerged that characterizes the global nature of oxidative stress. Previously, we reported a measurement that employs the moderately strong oxid...
Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks.
Journal of chemical information and modeling
Mar 6, 2019
Predicting the outcome of biological assays based on high-throughput imaging data is a highly promising task in drug discovery since it can tremendously increase hit rates and suggest novel chemical scaffolds. However, end-to-end learning with convol...
Imputation of Assay Bioactivity Data Using Deep Learning.
Journal of chemical information and modeling
Feb 21, 2019
We describe a novel deep learning neural network method and its application to impute assay pIC values. Unlike conventional machine learning approaches, this method is trained on sparse bioactivity data as input, typical of that found in public and c...
Analytical Concordance of Diverse Point-of-Care and Central Laboratory Troponin I Assays.
The journal of applied laboratory medicine
Sep 17, 2018
BACKGROUND: Cardiac troponin I (cTnI) 99th percentile cutoffs, used in the diagnosis of acute myocardial infarction, are not standardized across cTnI assays. We compared 3 point-of-care (POC) and 1 central laboratory contemporary cTnI assays against ...
RASPELD to Perform High-End Screening in an Academic Environment toward the Development of Cancer Therapeutics.
ChemMedChem
Aug 23, 2018
The identification of compounds for dissecting biological functions and the development of novel drug molecules are central tasks that often require screening campaigns. However, the required architecture is cost- and time-intensive. Herein we descri...
Thread/paper- and paper-based microfluidic devices for glucose assays employing artificial neural networks.
Electrophoresis
May 14, 2018
This paper describes the fabrication of and data collection from two microfluidic devices: a microfluidic thread/paper based analytical device (μTPAD) and 3D microfluidic paper-based analytical device (μPAD). Flowing solutions of glucose oxidase (GOx...
Prediction analysis and quality assessment of microwell array images.
Electrophoresis
Jan 24, 2018
Microwell arrays are widely used for the analysis of fluorescent-labelled biomaterials. For rapid detection and automated analysis of microwell arrays, the computational image analysis is required. Support Vector Machines (SVM) can be used for this t...
Combining machine learning models of in vitro and in vivo bioassays improves rat carcinogenicity prediction.
Regulatory toxicology and pharmacology : RTP
Jan 11, 2018
In vitro genotoxicity bioassays are cost-efficient methods of assessing potential carcinogens. However, many genotoxicity bioassays are inappropriate for detecting chemicals eliciting non-genotoxic mechanisms, such as tumour promotion, this necessita...
Aptamer based fluorometric β-lactoglobulin assay based on the use of magnetic nanoparticles and carbon dots.
Mikrochimica acta
Dec 8, 2017
The authors describe a fluorometric aptamer based assay for detecting β-lactoglobulin by using carbon dots (C-dots) as a signal indicator. The aptamer was immoblized on magnetite (FeO) nanoparticles (MNPs), and the C-dots served as a label for the co...
Synthesis and investigation of the antibacterial activity and action mechanism of 1,3,4-oxadiazole thioether derivatives.
Pesticide biochemistry and physiology
Nov 8, 2017
Various 1,3,4-oxadiazole thioether derivatives containing 2-chloro-5-methylene pyridine, 2-chloro-5-methylene thiazole, 3,4-dimethoxy-2-methylene pyridine, and N,N-dimethyl-2-ethylamino moieties were designed, synthesized, and assessed for their anti...
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