A computational method for the determination of attraction regions

Author(s):  
W. Fermin Guerrero-Sanchez ◽  
J. F. Guerrero-Castellanos ◽  
Vladimir V. Alexandrov
Keyword(s):  
1980 ◽  
Vol 58 (19) ◽  
pp. 2016-2023 ◽  
Author(s):  
Lawrence D. Colebrook ◽  
Laurance D. Hall

A general discussion is given of the determination of the proton spin–lattice relaxation rates of natural products, with particular emphasis on use of the null-point method which, for the systems studied here, gives identical results with those obtained via the conventional (and relatively time consuming) computational method.


2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Sara Garbarino ◽  
Giacomo Caviglia ◽  
Massimo Brignone ◽  
Michela Massollo ◽  
Gianmario Sambuceti ◽  
...  

[18F]fluoro-2-deoxy-D-glucose (FDG) is one of the most utilized tracers for positron emission tomography (PET) applications in oncology. FDG-PET relies on higher glycolytic activity in tumors compared to normal structures as the basis of image contrast. As a glucose analog, FDG is transported into malignant cells which typically exhibit an increased radioactivity. However, different from glucose, FDG is not reabsorbed by the renal system and is excreted to the bladder. The present paper describes a novel computational method for the quantitative assessment of this excretion process. The method is based on a compartmental analysis of FDG-PET data in which the excretion process is explicitly accounted for by the bladder compartment and on the application of an ant colony optimization (ACO) algorithm for the determination of the tracer coefficients describing the FDG transport effectiveness. The validation of this approach is performed by means of both synthetic data and real measurements acquired by a PET device for small animals (micro-PET). Possible oncological applications of the results are discussed in the final section.


1987 ◽  
Vol 112 (1) ◽  
pp. 183-186 ◽  
Author(s):  
R.E. Mickens ◽  
K. Oyedeji ◽  
K.R. Speight

2021 ◽  
Vol 1 (1) ◽  
pp. 40-50
Author(s):  
A.V. Lipkan' ◽  
◽  
A.N. Panasyuk ◽  
Z.A. Godzhayev ◽  
A.V. Lavrov ◽  
...  

Subject of study. The results of experiments on the estimation of the error of methods of experi-mental and calculated determination of the contour area for the ecological assessment of a mobile energy device (MED) are presented. There was used the example of modern radial tires 360 / 70R24 of Bel-89 and 18.4R34 of F-11 agricultural tractor MTZ-1025.2. in modes of non-nominal loading at nominal load on tires and changes in tire pressure within the range recommended for field work. The purpose of the study. To assess the possibility of improving the computational method for determining the contour area of the contact patch of the tire tread of a pneumatic wheel based on the mathematical model of V.L. Biederman. Materials and methods. The assessment was carried out for four ways of determining the area of the tire contact patch: 1) directly measuring the area using a digital photograph of the tire contact patch in Kompas-3D V13 software with the de-termination of the scaling and method error using a square from 100x100 mm graph paper; 2) calcu-lation by the formula of the area of an ellipse, using the length and width of the tire contact patch, measured with a tape measure directly from the obtained print; 3) by calculation, determined from the digital photograph in Kompas-3D V13 software; 4) by calculation, determined by calculation using the parameters of the universal tire characteristic (UTC). Results and discussion. As a result of the experiments, it was found that for modern radial tractor tires, the static deformation of which does not exceed 18-22%, the method of theoretical determination of the contour area of the tire contact patch using the UTC parameters can be applied with sufficient (for engineering practice) accuracy. Full convergence of the calculated and experimental contour areas of the tire contact patch can be provided by the coefficient of their ratio. Conclusions. The carried out assessment of the possibility of using methods for calculating the conditional contour area of the tire showed that these methods can be well used for a comparative assessment of the technogenic mechanical impact of propellers on the soil.


Author(s):  
Ferda Mavituna ◽  
Raul Munoz-Hernandez ◽  
Ana Katerine de Carvalho Lima Lobato

This chapter summarizes the fundamentals of metabolic flux balancing as a computational tool of metabolic engineering and systems biology. It also presents examples from the literature for its applications in medicine. These examples involve mainly liver metabolism and antibiotic production. Metabolic flux balancing is a computational method for the determination of metabolic pathway fluxes through a stoichiometric model of the cellular pathways, using mass balances for intracellular metabolites. It is a powerful tool to study metabolism under normal and abnormal conditions with a view to engineer the metabolism. Its extended potential in medicine is emphasized in the future trends.


2020 ◽  
Author(s):  
Mihiri Shashikala ◽  
Arghya Chakravorty ◽  
Shailesh Pandey ◽  
Emil Alexov

Abstract Background: Ions play significant roles in biological processes - they may specifically bind to a protein site or bind non-specifically on its surface. Though, the role of specifically bound ions range from actively providing structural compactness via coordination of charge-charge interactions to numerous enzymatic activities, non-specifically surface-bound ions are also crucial to maintaining a protein’s stability, responding to pH and ion concentration changes and contributing to other biological processes. However, experimental determination of positions of non-specifically bound ions is not trivial since they may have low residential time and experience significant thermal fluctuation of their positions. Results: Here we report a new release of a computational method, the BION-2 method, that predicts positions of non-specifically surface-bound ions. The BION-2 utilizes the Gaussian-based treatment of ions within the framework of the modified Poisson-Boltzmann equation, that does not require a sharp boundary between the protein and water phase. Thus, the predictions are done by the balance of the energy of interaction between the protein charges and the corresponding ions, and the de-solvation penalty of the ions as they approach the protein. Conclusions: The BION-2 is tested against experimentally determined ion’s positions, with both X-ray and NMR determined positions, and it is demonstrated that it outperforms the old BION and molecular dynamics tools. The BION-2 is available as a web server as well.


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