scholarly journals Development of computer modeling methods in proteomics

2020 ◽  
Vol 8 (2) ◽  
pp. 49-58
Author(s):  
Yu.B. Olevska ◽  
◽  
V.I. Olevskyi ◽  
О.V. Olevskyi ◽  
◽  
...  
Keyword(s):  
Protein Identification ◽  
Standard Form ◽  
Scale Model ◽  
Biomedical Sciences ◽  
Mathematics Methods ◽  
Case Methods ◽  
Stochastic Data ◽  
Analysis System ◽  
User Friendly

The need for modern research in the field of biomedical sciences is to solve the problem of improving the accuracy of the results of electrophoretography in their common form and substantiating the conclusions based on such experiments, in particular, increasing the accuracy of protein identification. Calculation problems in this direction are solved by both universal and specialized computer systems, the variety of which is due, firstly, to the specific needs of the natural sciences, and, secondly, by the mathematical apparatus that is used for fairly voluminous calculations. Usually, in this case, methods of mathematical statistics are used, but in this case the use of stochastic data analysis was not sufficiently correct due to the lack of a representative sample or its heterogeneity. In connection with these needs, a computer package FANSPREL – «Fuzzy ANalysis System for Protein Electrophoresis» was created for processing electrophoregrams and identifying proteins using fuzzy mathematics methods based on algorithms developed by the authors in previous studies. An approach is proposed based on the determination of a fuzzy scale based on the results of processing fuzzy data of known proteins, recognition of proteins obtained from the results of research, and comparison of proteins among themselves based on the results of experiments. The mathematical part of the information system is the construction of an approximation of the membership function based on the obtained data of a curve with four parameters and the construction of a fuzzy scale model, determination of fuzzy masses of proteins and their comparison by conjunction of fuzzy values, and subsequent defuzzification of the results. The system makes it possible to more accurately identify proteins, in particular to distinguish between those whose masses were identified as the same with other forms of processing with a certain accuracy or an undefined result was obtained. The program has a user-friendly interface, provides a standard form of input and output data, and is tested for solving problems of experiments that took place for the immediate needs of agriculture, in particular to improve various types of soil that is used to grow corn. Keywords: fuzzy modeling, electrophoregrams, computer system.

SIGN IN Welcome!Log into your account your username your password Forgot your password Privacy policy PASSWORD RECOVERY Recover your password your email Struktol Home New fast measuring method for process optimization of sucrose crystallization New fast measuring method for process optimization of sucrose crystallization

2020 ◽  
pp. 49-52
Author(s):  
Trine Aabo Andersen
Keyword(s):  
Image Analysis ◽  
Process Optimization ◽  
Crystal Size ◽  
Measuring Method ◽  
Sieve Analysis ◽  
Image Analysis System ◽  
Line System ◽  
Non Invasive ◽  
Analysis System ◽  
User Friendly

A new fast measuring method for process optimization of sucrose crystallization using image analysis based on high quality images and algorithms is introduced. With the mobile, non-invasive at-line system all steps of the sucrose crystallization can be measured to determine the crystal size distribution. The image analysis system is easy to operate and is as well an efficient laboratory solution with user-friendly and customized software. In comparison to sieve analysis, image analyses performed with the ParticleTech Solution have been proven to be reliable.

scholarly journals A parametric prediction of the Young’s modulus of polymers enhanced with ΜWCNTs

2018 ◽  
Vol 233 ◽  
pp. 00025
Author(s):  
P.V. Polydoropoulou ◽  
K.I. Tserpes ◽  
Sp.G. Pantelakis ◽  
Ch.V. Katsiropoulos
Keyword(s):  
Young’S Modulus ◽  
Elastic Properties ◽  
Young's Modulus ◽  
Experimental Results ◽  
Scale Model ◽  
Fe Model ◽  
Multi Scale ◽  
Unit Cells ◽  
Random Dispersion

In this work a multi-scale model simulating the effect of the dispersion, the waviness as well as the agglomerations of MWCNTs on the Young’s modulus of a polymer enhanced with 0.4% MWCNTs (v/v) has been developed. Representative Unit Cells (RUCs) have been employed for the determination of the homogenized elastic properties of the MWCNT/polymer. The elastic properties computed by the RUCs were assigned to the Finite Element (FE) model of a tension specimen which was used to predict the Young’s modulus of the enhanced material. Furthermore, a comparison with experimental results obtained by tensile testing according to ASTM 638 has been made. The results show a remarkable decrease of the Young’s modulus for the polymer enhanced with aligned MWCNTs due to the increase of the CNT agglomerations. On the other hand, slight differences on the Young’s modulus have been observed for the material enhanced with randomly-oriented MWCNTs by the increase of the MWCNTs agglomerations, which might be attributed to the low concentration of the MWCNTs into the polymer. Moreover, the increase of the MWCNTs waviness led to a significant decrease of the Young’s modulus of the polymer enhanced with aligned MWCNTs. The experimental results in terms of the Young’s modulus are predicted well by assuming a random dispersion of MWCNTs into the polymer.

A FLOW ANALYSIS SYSTEM FOR THE RAPID DETERMINATION OF SULFONAMIDES USING A SOLID PHASE PHOTOMETRIC SENSING ZONE

2002 ◽  
Vol 35 (2) ◽  
pp. 269-282 ◽  
Author(s):  
A. Ruiz Medina ◽  
M. C. Cano García ◽  
A. Molina Díaz
Keyword(s):  
Solid Phase ◽  
Rapid Determination ◽  
Flow Analysis ◽  
Analysis System

Applied plant science experimental design and statistical analysis using the SAS® OnDemand for Academics

2021 ◽  
Keyword(s):  
Statistical Analysis ◽  
Agricultural Production ◽  
Science Research ◽  
Plant Science ◽  
Data Sets ◽  
Statistical Analysis System ◽  
Key Topics ◽  
Analysis System ◽  
User Friendly ◽  
Enormous Number

Abstract The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural production worldwide. The enormous number of design and analysis options available for correctly implementing, analyzing and interpreting research can be overwhelming. Statistical Analysis System (SAS®) is the most widely used statistical software in the world and SAS® OnDemand for Academics is now freely available for academic insttutions. This is a user-friendly guide to statistics using SAS® OnDemand for Academics, ideal for facilitating the design and analysis of plant science experiments. It presents the most frequently used statistical methods in an easy-to-follow and non-intimidating fashion, and teaches the appropriate use of SAS® within the context of plant science research. This book contains 21 chapters that covers experimental designs and data analysis protocols; is presented as a how-to guide with many examples; includes freely downloadable data sets; and examines key topics such as ANOVA, mean separation, non-parametric analysis and linear regression.

scholarly journals SSFinder: High Throughput CRISPR-Cas Target Sites Prediction Tool

2014 ◽  
Vol 2014 ◽  
pp. 1-4 ◽  
Author(s):  
Santosh Kumar Upadhyay ◽  
Shailesh Sharma
Keyword(s):  
Operating Systems ◽  
High Throughput ◽  
Genomic Data ◽  
Prediction Tool ◽  
High Demand ◽  
Specific Target ◽  
Target Sites ◽  
High Throughput Detection ◽  
User Friendly

Clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated protein (Cas) system facilitates targeted genome editing in organisms. Despite high demand of this system, finding a reliable tool for the determination of specific target sites in large genomic data remained challenging. Here, we report SSFinder, a python script to perform high throughput detection of specific target sites in large nucleotide datasets. The SSFinder is a user-friendly tool, compatible with Windows, Mac OS, and Linux operating systems, and freely available online.

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