AIMC Topic: Hydrolases
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The use of artificial intelligence tools in cancer detection compared to the traditional diagnostic imaging methods: An overview of the systematic reviews.
PloS one
Oct 5, 2023
BACKGROUND AND PURPOSE: In comparison to conventional medical imaging diagnostic modalities, the aim of this overview article is to analyze the accuracy of the application of Artificial Intelligence (AI) techniques in the identification and diagnosis...
An artificial intelligence-based ecological index for prognostic evaluation of colorectal cancer.
BMC cancer
Aug 17, 2023
BACKGROUND AND OBJECTIVE: In the tumor microenvironment (TME), the dynamic interaction between tumor cells and immune cells plays a critical role in predicting the prognosis of colorectal cancer. This study introduces a novel approach based on artifi...
Artificial intelligence-aided method to detect uterine fibroids in ultrasound images: a retrospective study.
Scientific reports
Mar 6, 2023
We explored a new artificial intelligence-assisted method to assist junior ultrasonographers in improving the diagnostic performance of uterine fibroids and further compared it with senior ultrasonographers to confirm the effectiveness and feasibilit...
Exploration of the intelligent-auxiliary design of architectural space using artificial intelligence model.
PloS one
Mar 3, 2023
In order to carry out a comprehensive design description of the specific architectural model of AI, the auxiliary model of AI and architectural spatial intelligence is deeply integrated, and flexible design is carried out according to the actual situ...
Prediction and Construction of Energetic Materials Based on Machine Learning Methods.
Molecules (Basel, Switzerland)
Dec 31, 2022
Energetic materials (EMs) are the core materials of weapons and equipment. Achieving precise molecular design and efficient green synthesis of EMs has long been one of the primary concerns of researchers around the world. Traditionally, advanced mate...
Nucleoside Triphosphate Hydrolases Assay in Toxoplasm gondii and Neospora caninum for High-Throughput Screening using a Robot Arm.
Journal of visualized experiments : JoVE
Jul 22, 2022
Protozoan parasites infect humans and many warm-blooded animals. Toxoplasma gondii, a major protozoan parasite, is commonly found in HIV-positive patients, organ transplant recipients and pregnant women, resulting in the severe health condition, Toxo...
Machine learning-aided engineering of hydrolases for PET depolymerization.
Nature
Apr 27, 2022
Plastic waste poses an ecological challenge and enzymatic degradation offers one, potentially green and scalable, route for polyesters waste recycling. Poly(ethylene terephthalate) (PET) accounts for 12% of global solid waste, and a circular carbon e...
Bridging the gap between GRACE and GRACE-FO missions with deep learning aided water storage simulations.
The Science of the total environment
Mar 23, 2022
The monthly high-resolution terrestrial water storage anomalies (TWSA) during the 11-months of gap between GRACE (Gravity Recovery And Climate Experiment) and its successor GRACE-FO (-Follow On) missions are missing. The continuity of the GRACE-like ...
Enhancement of protein thermostability by three consecutive mutations using loop-walking method and machine learning.
Scientific reports
Jun 4, 2021
We developed a method to improve protein thermostability, "loop-walking method". Three consecutive positions in 12 loops of Burkholderia cepacia lipase were subjected to random mutagenesis to make 12 libraries. Screening allowed us to identify L7 as ...
Molecular Conformation
Hot Temperature
Mutagenesis
Escherichia coli
Hydrolases
Proteins
Plasmids
Burkholderia cepacia
Machine Learning
Mutagenesis, Site-Directed
Lipase
Mutation
Kinetics
Computational Biology
Polymerase Chain Reaction
Protein Engineering
Molecular Dynamics Simulation
Enzyme Stability
Biochemical, machine learning and molecular approaches for the differential diagnosis of Mucopolysaccharidoses.
Molecular and cellular biochemistry
Mar 21, 2019
This study was aimed to construct classification and regression tree (CART) model of glycosaminoglycans (GAGs) for the differential diagnosis of Mucopolysaccharidoses (MPS). Two-dimensional electrophoresis and liquid chromatography-tandem mass spectr...
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