AIMC Topic: Animals

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Machine learning-guided anti-photoaging peptides from Chinese giant salamander skin: Efficient preparation and mechanistic insights.

Food chemistry
Collagen peptides are ubiquitously applied in food systems for their versatile bioactivities but face constraints from labor-intensive enzymatic screening and zoonotic risks from terrestrial sources. This study developed machine learning (ML) models ...

Direct detection and differentiation of the Vibrio harveyi clade using MALDI-TOF MS integrated with artificial intelligence for effective outbreak management.

Food chemistry
Accurate identification of Vibrio harveyi clade species is critical for seafood safety and the control of aquaculture diseases. However, existing methods demonstrate limited classification performance. This study presents an artificial intelligence-a...

QSAR-based prediction of acute inhalation toxicity and SHAP interpretability analysis of fluorocarbon environmental-friendly insulating gases.

Environmental research
Environmental-friendly fluorocarbon insulating gases have emerged as the preferred substitutes for SF due to their low global warming potential (GWP) and excellent insulation properties. However, current gases face challenges in meeting multiple perf...

A deep learning approach for objective evaluation of microscopic neuro-drilling craniotomy skills.

Computers in biology and medicine
BACKGROUND: Minimally invasive microscopic and endoscopic neurosurgery demands precise use of high-speed micro-drilling tools to prevent potential complications. Present-day neuro-drilling training methods include cadaveric specimens and surgical sim...

Machine-Learning-Driven Discovery of -Phenylbenzenesulfonamides as a Novel Chemotype for Lactate Dehydrogenase A Inhibition with Anti-Pancreatic Cancer Activity.

Journal of medicinal chemistry
Lactate dehydrogenase A (LDHA) is a promising target for cancer therapy due to its crucial role in aerobic glycolysis. Despite extensive efforts, the structural diversity of LDHA inhibitors remains limited. Here, we utilized machine learning techniqu...

Picoeukaryote-based biohybrid microrobots for active delivery in the kidney.

Science advances
Confined spaces in the human body pose substantial challenges for biomedical procedures. Navigating these ultrasmall environments is essential for precise drug delivery, improving treatment outcomes and reducing adverse effects. Microrobots offer a p...

SPP1 promotes malignant characteristics and drug resistance in hepatocellular carcinoma by activating fatty acid metabolic pathway.

Functional & integrative genomics
Hepatocellular carcinoma (HCC) progression and prognosis are influenced by various molecular markers. This study aimed to identify the hub gene associated with HCC clinical characteristics and its role in HCC progression. Differentially expressed gen...

Cysteine pattern barcoding-based dataset filtration enhances the machine learning-assisted interpretation of Conus venom peptide therapeutics.

PloS one
Crude cone snail venom is a rich source of bioactive compounds with significant therapeutic potential. In this study, we conducted a comprehensive analysis of 5,985 cone snail peptides across 82 Conus species to identify unique cysteine (Cys) pattern...

Diagnostic immune-related markers for diabetic kidney disease: a bioinformatics and machine learning approach.

Renal failure
OBJECTIVE: Diabetic kidney disease (DKD) is a leading cause of chronic kidney disease, with chronic inflammation driving its progression. This study aimed to identify immune-related diagnostic biomarkers for DKD and explore their association with imm...

Prediction of possible new drug binding site for ATP-sensitive potassium channel inhibition: bupropion's modulation of hippocampal CA1 neuron excitability.

Neuroreport
OBJECTIVE: Bupropion, a norepinephrine-dopamine reuptake inhibitor, is widely used as an antidepressant and smoking cessation aid. At high doses, it also inhibits pancreatic β-cell ATP-sensitive potassium (KATP) channels, inducing insulin secretion. ...