AIMC Topic: Zinc

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Artificial intelligence-enabled optimization of Fe/Zn@biochar photocatalyst for 2,6-dichlorophenol removal from petrochemical wastewater: A techno-economic perspective.

Chemosphere Feb 19, 2024
While numerous studies have addressed the photocatalytic degradation of 2,6-dichlorophenol (2,6-DCP) in wastewater, an existing research gap pertains to operational factors' optimization by non-linear prediction models to ensure a cost-effective and ...
Charcoal Chlorophenols Artificial Intelligence Zinc Phenols Wastewater
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Leveraging machine learning to dissect role of combinations of amino acids in modulating the effect of zinc on mammalian cell growth.

Biotechnology progress Feb 15, 2024
Although the contributions of individual components of cell culture media are largely known, their combinatorial effects are far less understood. Experiments varying one component at a time cannot identify combinatorial effects, and analysis of the l...
Machine Learning Animals CHO Cells Zinc Cell Proliferation Cricetulus Amino Acids Culture Media
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Ultra-fast whole-body bone tomoscintigraphies achieved with a high-sensitivity 360° CZT camera and a dedicated deep-learning noise reduction algorithm.

European journal of nuclear medicine and molecular imaging Dec 12, 2023
UNLABELLED: This study aimed to determine whether the whole-body bone Single Photon Emission Computed Tomography (SPECT) recording times of around 10 min, routinely provided by a high-sensitivity 360° cadmium and zinc telluride (CZT) camera, can be f...
Tomography, Emission-Computed, Single-Photon Zinc Tellurium Cadmium Humans Deep Learning
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Diagnostic performance of a novel deep learning attenuation correction software for MPI using a cardio dedicated CZT camera. Experience in the clinical practice.

Revista espanola de medicina nuclear e imagen molecular Sep 23, 2023
PURPOSE: To evaluate the diagnostic performance of a novel deep learning attenuation correction software (DLACS) for myocardial perfusion imaging (MPI) using a cadmium-zinc-telluride (CZT) cardio dedicated camera with invasive coronary angiography (I...
Male Deep Learning Zinc Retrospective Studies Aged Coronary Artery Disease Cadmium Myocardial Perfusion Imaging Coronary Angiography Tellurium Humans
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Constructing porous ZnFC-PA/PSF composite spheres for highly efficient Cs removal.

Journal of environmental sciences (China) May 20, 2023
Radioisotope leaking from nuclear waste has become an intractable problem due to its gamma radiation and strong water solubility. In this work, a novel porous ZnFC-PA/PSF composite sphere was fabricated by immobilization of ferrocyanides modified zin...
Water Pollutants, Chemical Zinc Adsorption Cesium Polymers Waste Disposal, Fluid Wastewater Porosity Sulfones Water Purification
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Metal3D: a general deep learning framework for accurate metal ion location prediction in proteins.

Nature communications May 11, 2023
Metal ions are essential cofactors for many proteins and play a crucial role in many applications such as enzyme design or design of protein-protein interactions because they are biologically abundant, tether to the protein using strong interactions,...
Metals Ions Metalloproteins Binding Sites Deep Learning Zinc
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An approach combining deep learning and molecule docking for drug discovery of cathepsin L.

Expert opinion on drug discovery Feb 27, 2023
OBJECTIVES: Cathepsin L (CTSL) is a promising therapeutic target for metabolic disorders and COVID-19. However, there are still no clinically available CTSL inhibitors. Our objective is to develop an approach for the discovery of potential reversible...
Zinc Cathepsin L Humans Drug Discovery Deep Learning COVID-19
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AlphaFill: enriching AlphaFold models with ligands and cofactors.

Nature methods Nov 24, 2022
Artificial intelligence-based protein structure prediction approaches have had a transformative effect on biomolecular sciences. The predicted protein models in the AlphaFold protein structure database, however, all lack coordinates for small molecul...
Protein Conformation Proteins Artificial Intelligence Ions Zinc Ligands
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Deep learning model based on urban multi-source data for predicting heavy metals (Cu, Zn, Ni, Cr) in industrial sewer networks.

Journal of hazardous materials Mar 17, 2022
The high concentrations of heavy metals in municipal industrial sewer networks will seriously impact the microorganisms of the activated sludge in the wastewater treatment plant (WWTP), thus deteriorating the effluent quality and destroying the stabi...
China Zinc Sewage Water Purification Environmental Monitoring Metals, Heavy Deep Learning
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Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine.

Journal of healthcare engineering Mar 16, 2022
Toxoplasmosis is a zoonotic illness caused by . Those with a normal immune system normally recover without treatment. Immunocompromised individuals and pregnant women must be treated regularly. Toxoplasmosis is a serious illness that may reactivate i...
Toxoplasmosis Immunoglobulins Machine Learning Blood Proteins Humans Female Retrospective Studies Metal Nanoparticles Zinc Pregnancy Zinc Oxide
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