AI Medical Compendium Journal:
Biochemical and biophysical research communications

Showing 11 to 20 of 23 articles

Hybrid AI models allow label-free identification and classification of pancreatic tumor repopulating cell population.

Biochemical and biophysical research communications Aug 9, 2023
Human pancreatic cancer cell lines harbor a small population of tumor repopulating cells (TRCs). Soft 3D fibrin gel allows efficient selection and growth of these tumorigenic TRCs. However, rapid and high-throughput identification and classification ...
Humans Cell Line Carcinogenesis Pancreatic Neoplasms Pancreas Neural Networks, Computer Machine Learning Support Vector Machine
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A deep learning-based drug repurposing screening and validation for anti-SARS-CoV-2 compounds by targeting the cell entry mechanism.

Biochemical and biophysical research communications Jul 12, 2023
The recent outbreak of Corona Virus Disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been a severe threat to the global public health and economy, however, effective drugs to treat COVID-19 are still ...
Antiviral Agents Drug Repositioning Virus Internalization SARS-CoV-2 Molecular Docking Simulation Deep Learning Humans COVID-19
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Development of non-bias phenotypic drug screening for cardiomyocyte hypertrophy by image segmentation using deep learning.

Biochemical and biophysical research communications Oct 1, 2022
The number of patients with heart failure and related deaths is rapidly increasing worldwide, making it a major problem. Cardiac hypertrophy is a crucial preliminary step in heart failure, but its treatment has not yet been fully successful. In this ...
Cells, Cultured Cardiomegaly Myocytes, Cardiac Ezetimibe Rats Angiotensin II Animals Cholesterol Endothelin-1 Drug Evaluation, Preclinical Deep Learning Heart Failure Mice
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Artificial intelligence-based identification of octenidine as a Bcl-xL inhibitor.

Biochemical and biophysical research communications Dec 20, 2021
Apoptosis plays an essential role in maintaining cellular homeostasis and preventing cancer progression. Bcl-xL, an anti-apoptotic protein, is an important modulator of the mitochondrial apoptosis pathway and is a promising target for anticancer ther...
Molecular Docking Simulation Antineoplastic Agents Protein Binding Cell Proliferation Humans Artificial Intelligence Neoplasms Imines bcl-X Protein bcl-2 Homologous Antagonist-Killer Protein Apoptosis Cell Line Pyridines
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Loop-mediated isothermal amplification (LAMP) and machine learning application for early pregnancy detection using bovine vaginal mucosal membrane.

Biochemical and biophysical research communications Jul 10, 2021
An early and accurate pregnancy diagnosis method is required to improve the reproductive performance of cows. Here we developed an easy pregnancy detection method using vaginal mucosal membrane (VMM) with application of Reverse Transcription-Loop-med...
Nucleic Acid Amplification Techniques Adaptor Proteins, Signal Transducing Gene Expression Mucous Membrane Vagina CA-125 Antigen Ubiquitins Cattle RNA-Binding Proteins Molecular Diagnostic Techniques Membrane Proteins Reproducibility of Results Sensitivity and Specificity Animals Machine Learning Cytokines Biomarkers Pregnancy Female
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Learning-based event locating for single-molecule force spectroscopy.

Biochemical and biophysical research communications Apr 8, 2021
Acquiring events massively from single-molecule force spectroscopy (SMFS) experiments, which is crucial for revealing important biophysical information, is usually not straightforward. A significant amount of human labor is usually required to identi...
Single Molecule Imaging Optical Tweezers Deep Learning Microscopy, Atomic Force Automation
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Screening of a novel free fatty acid receptor 1 (FFAR1) agonist peptide by phage display and machine learning based-amino acid substitution.

Biochemical and biophysical research communications Mar 9, 2021
Free fatty acid receptor 1 (FFAR1 or GPR40) has attracted attention for the treatment of type 2 diabetes mellitus, and various small-molecule agonists have been developed. However, most FFAR1 agonists as well as endogenous ligands, such as linoleic a...
Transforming Growth Factor alpha HEK293 Cells Peptide Library Cloning, Molecular Machine Learning Cell Line Receptors, G-Protein-Coupled Amino Acid Substitution Humans Peptides Regression Analysis Glucose Insulin Drug Evaluation, Preclinical Protein Binding Amino Acid Sequence
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Machine learning methods accurately predict host specificity of coronaviruses based on spike sequences alone.

Biochemical and biophysical research communications Sep 18, 2020
Coronaviruses infect many animals, including humans, due to interspecies transmission. Three of the known human coronaviruses: MERS, SARS-CoV-1, and SARS-CoV-2, the pathogen for the COVID-19 pandemic, cause severe disease. Improved methods to predict...
Machine Learning Host Specificity Animals Coronavirus Spike Glycoprotein, Coronavirus Computational Biology Humans
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Image based cellular contractile force evaluation with small-world network inspired CNN: SW-UNet.

Biochemical and biophysical research communications Jul 7, 2020
We propose an image based cellular contractile force evaluation method using a machine learning technique. We use a special substrate that exhibits wrinkles when cells grab the substrate and contract, and the wrinkles can be used to visualize the for...
Image Processing, Computer-Assisted Humans Neural Networks, Computer Osteosarcoma Microscopy Algorithms Machine Learning Bone Neoplasms Biomechanical Phenomena Proto-Oncogene Proteins p21(ras) Mutation Cell Line, Tumor
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Machine-learning-based quality control of contractility of cultured human-induced pluripotent stem-cell-derived cardiomyocytes.

Biochemical and biophysical research communications Apr 4, 2020
The precise and early assessment of cardiotoxicity is fundamental to bring forward novel drug candidates to the pharmaceutical market and to avoid their withdrawal from the market. Recent preclinical studies have attempted to use human-induced plurip...
Myocytes, Cardiac Models, Biological Cardiotoxicity Drug Evaluation, Preclinical Induced Pluripotent Stem Cells Myocardial Contraction Microscopy Humans Quality Control Machine Learning Cells, Cultured
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