AIMC Topic: High-Throughput Screening Assays
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The latest advances with natural products in drug discovery and opportunities for the future: a 2025 update.
Expert opinion on drug discovery
Jun 5, 2025
INTRODUCTION: The landscape of drug discovery is rapidly evolving, with natural products (NPs) playing a pivotal role in the development of novel therapeutics. Despite their historical significance, challenges persist in fully harnessing their potent...
A high-throughput analysis of novel anti-fibrotics in human adult cardiac fibroblasts.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Jun 3, 2025
Myocardial fibrosis, a hallmark of heart failure (HF), contributes to disease progression and mortality by impairing cardiac function. Despite the identification of potential anti-fibrotic molecules, there is a lack of effective pharmacological inter...
Developing Pharmaceutically Relevant Pd-Catalyzed C-N Coupling Reactivity Models Leveraging High-Throughput Experimentation.
Journal of the American Chemical Society
May 29, 2025
This manuscript presents machine learning models for Pd-catalyzed C-N couplings constructed using a large, pharmaceutically relevant, structurally diverse dataset (4204 unique products) generated using high-throughput experimentation. The dataset ge...
Advanced droplet microfluidic platform for high-throughput screening of industrial fungi.
Biosensors & bioelectronics
May 16, 2025
Industrial fungi are pivotal candidates for the production of a diverse array of bioproducts. To enhance their productivity, these strains are frequently subjected to genetic modifications. Following transformation, the selection of optimal productio...
A method for evaluating the degree of Adipogenic differentiation of porcine cells cultured in suspension based on deep learning.
Food research international (Ottawa, Ont.)
Apr 28, 2025
Fat plays a very important role in the quality of meat and meat products. Cell culture based adipocyte differentiation is a crucial step in the production of cell-cultured meat, traditionally relying on quantitative assessments through fluorescence s...
Deciphering disordered regions controlling mRNA decay in high-throughput.
Nature
Apr 23, 2025
Intrinsically disordered regions within proteins drive specific molecular functions despite lacking a defined structure. Although disordered regions are integral to controlling mRNA stability and translation, the mechanisms underlying these regulator...
Optimal structural characteristics of osteoinductivity in bioceramics derived from a novel high-throughput screening plus machine learning approach.
Biomaterials
Apr 16, 2025
Osteoinduction is an important feature of the next generation of bone repair materials. But the key structural factors and parameters of osteoinductive scaffolds are not yet clarified. This study leverages the efficiency of high-throughput screening ...
Combining High-Throughput Screening and Machine Learning to Predict the Formation of Both Binary and Ternary Amorphous Solid Dispersion Formulations for Early Drug Discovery and Development.
Pharmaceutical research
Apr 3, 2025
OBJECTIVE: Amorphous solid dispersion (ASD) is widely utilized to enhance the solubility and bioavailability of water-insoluble drugs. However, conventional experimental approaches for ASD development are often resource-intensive and time-consuming. ...
Pancreatic Cancer Detection and Differentiation from Chronic Pancreatitis: Potential Biomarkers Identified through a High-Throughput Multiplex Proteomic Assay and Machine Learning-Based Analysis.
Annals of laboratory medicine
Apr 2, 2025
BACKGROUND: Pancreatic cancer (PC)-screening methods have limited accuracy despite their high clinical demand. Differential diagnosis of chronic pancreatitis (CP) poses another challenge for PC diagnosis. Therefore, we aimed to identify blood protein...
Engineering highly active nuclease enzymes with machine learning and high-throughput screening.
Cell systems
Mar 12, 2025
Optimizing enzymes to function in novel chemical environments is a central goal of synthetic biology, but optimization is often hindered by a rugged fitness landscape and costly experiments. In this work, we present TeleProt, a machine learning (ML) ...
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