AIMC Topic: Cell Survival
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A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes.
Nature communications
Aug 21, 2020
Chemoproteomics is a key technology to characterize the mode of action of drugs, as it directly identifies the protein targets of bioactive compounds and aids in the development of optimized small-molecule compounds. Current approaches cannot identif...
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...
Intelligent image-based deformation-assisted cell sorting with molecular specificity.
Nature methods
May 25, 2020
Although label-free cell sorting is desirable for providing pristine cells for further analysis or use, current approaches lack molecular specificity and speed. Here, we combine real-time fluorescence and deformability cytometry with sorting based on...
Bioinspired Soft Microrobots with Precise Magneto-Collective Control for Microvascular Thrombolysis.
Advanced materials (Deerfield Beach, Fla.)
May 20, 2020
New-era soft microrobots for biomedical applications need to mimic the essential structures and collective functions of creatures from nature. Biocompatible interfaces, intelligent functionalities, and precise locomotion control in a collective manne...
Revealing cytotoxic substructures in molecules using deep learning.
Journal of computer-aided molecular design
Apr 16, 2020
In drug development, late stage toxicity issues of a compound are the main cause of failure in clinical trials. In silico methods are therefore of high importance to guide the early design process to reduce time, costs and animal testing. Technical a...
Anti-Inflammatory Activity of Sanjie Zhentong Capsule Assessed By Network Pharmacology Analysis of Adenomyosis Treatment.
Drug design, development and therapy
Feb 20, 2020
BACKGROUND: Sanjie Zhentong capsule (SZC) offers excellent effect in treating adenomyosis (AM), which is a common and difficult gynecological disease in the clinic. However, the systematic analysis of its mechanism has not been carried out yet and fu...
Single-cell dispensing and 'real-time' cell classification using convolutional neural networks for higher efficiency in single-cell cloning.
Scientific reports
Jan 27, 2020
Single-cell dispensing for automated cell isolation of individual cells has gained increased attention in the biopharmaceutical industry, mainly for production of clonal cell lines. Here, machine learning for classification of cell images is applied ...
A Multi-Omics Interpretable Machine Learning Model Reveals Modes of Action of Small Molecules.
Scientific reports
Jan 22, 2020
High-throughput screening and gene signature analyses frequently identify lead therapeutic compounds with unknown modes of action (MoAs), and the resulting uncertainties can lead to the failure of clinical trials. We developed an approach for uncover...
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...
Soft Ring-Shaped Cellu-Robots with Simultaneous Locomotion in Batches.
Advanced materials (Deerfield Beach, Fla.)
Nov 27, 2019
Untethered mini-robots can move single cells or aggregates to build complex constructs in confined spaces and may enable various biomedical applications such as regenerative repair in medicine and biosensing in bioengineering. However, a significant ...
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