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Topology-Based Modularity and Modularity Density for Detecting Protein Complexes: A Comparative Study

     Binary relations or interactions among bio-entities, such as proteins, set up the essential part of any living biological system. Protein-protein interactions are usually structured in a graph data structure called "protein-protein interaction networks" (PPINs). Analysis of PPINs into complexes tries to lay out the significant knowledge needed to answer many unresolved questions, including how cells are organized and how proteins work. However, complex detection problems fall under the category of non-deterministic polynomial-time hard (NP-Hard) problems due to their computational complexity. To accommodate such combinatorial explosions, evolutionary algorithms (EAs) are proven effective alternatives to heuristics in solving NP-hard problems. The main aim of this study is to make a close examination of the performance of the EAs where modularity and modularity density are selected as two different objective functions. Topology-based modularity and topology-based modularity density are designed to examine the detection ability of the EAs and to compare their performance. To conduct the experiments, two yeast Saccharomyces cerevisiae PPINs are used and evaluated under nine evaluation metrics. The results reveal the potential impact of the topology-based modularity density to outperform the counterpart modularity functions in almost all evaluation metrics. 

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Publication Date
Fri Nov 29 2019
Journal Name
Iraqi Journal Of Physics
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Publication Date
Tue Jun 08 2021
Journal Name
Biomolecules
A Pan-Inhibitor for Protein Arginine Methyltransferase Family Enzymes

Protein arginine methyltransferases (PRMTs) play important roles in transcription, splicing, DNA damage repair, RNA biology, and cellular metabolism. Thus, PRMTs have been attractive targets for various diseases. In this study, we reported the design and synthesis of a potent pan-inhibitor for PRMTs that tethers a thioadenosine and various substituted guanidino groups through a propyl linker. Compound II757 exhibits a half-maximal inhibition concentration (IC50) value of 5 to 555 nM for eight tested PRMTs, with the highest inhibition for PRMT4 (IC50 = 5 nM). The kinetic study demonstrated that II757 competitively binds at the SAM binding site of PRMT1. Notably, II757 is selective for PRMTs over a panel of other methyltransferases, w

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Publication Date
Fri Jun 24 2022
Journal Name
Iraqi Journal Of Science
Application of 2D Electrical Resistivity Imaging Technique for Detecting Soil Cracks: Laboratory Study

Cracking of soils affects their geotechnical properties and behavior such as soil strength and stability. In this paper, 2D Electrical Resistivity Imaging Method, as a non-invasive technique, was adopted to investigate the effect of soil cracks of a centemetric scale on resistivity of sandy soil. The electrical resistivity measurements were carried out using ABEM SAS 300C Terrameter system at a laboratory scale using Wenner array. The measurements were interpreted using horizontal profiles, forward modeling and 2D inverse resistivity sections. The results showed that soil cracks cause significant changes in soil resistivity. These changes can be attributed to the high resistivity contrast between the highly resistive air-filled cracks an

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Publication Date
Mon Jul 01 2019
Journal Name
Journal Of Educational And Psychological Researches
Teaching skills for Public and Private Schools’ Teachers: comparative study : Teaching skills for Public and Private Schools’ Teachers: comparative study

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The great expansion of teaching skills requires finding ways and methods to help teachers acquire experiences of all kinds. The researcher found in the subject of the teaching skills for teachers in public and private schools a fertile field for conducting a study that enables the measurement of these skills. Thus, the study aims to identify the skills of teaching lessons for teachers, the difference in teaching lesson skills for teachers according to the years of service, the differences in teaching lesson skills for teachers according to the specialized teachers and non-specialized teachers, the differences in teaching lesson skills for teachers according to the public and private school. The

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Publication Date
Thu Nov 01 2018
Journal Name
Italian Journal Of Vascular And Endovascular Surgery
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Publication Date
Fri Sep 02 2022
Journal Name
Journal Of Legal Sciences
Payment of administrative responsibility for electric power facility: a comparative study

The scope of the electrical power facility is determined by its employees' mistakes as follows and subject to its control and guidance, as well as those affiliated with mechanical machines or dangerous things that require special attention, and can be denied the responsibility based on a number of means to which the defendant is resorted to it, the law has been granted For the requirements of justice and to judge the judiciary in many of the provisions issued by an investigation into the principle of equity. The most important mistakes, which are the most important means that the electric power facility can resort to existing responsibility in accordance with Article (219) of the Iraqi Civil Law, which is responsible for fulfilling acts,

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Publication Date
Wed Mar 16 2022
Journal Name
Journal Of Educational And Psychological Researches
Biology Textbook for Scientific Sixth Class in Iraq (A Comparative Study)

The textbook is the primary means of creativity and thinking, which has a major role in the development of the readership and mental abilities of the student. It is the basic tool in education in Iraq for the teacher and the student, which cannot be dispensed in any educational program. The current study aimed at the book of the biology of the sixth grade of science in Iraq (comparative study). It was compared to the book of biology for the twelve grade in the Kingdom of Jordan to identify the ratio of similarity and differences between them, in addition, to identify the weaknesses in the Iraq curriculum and developing appropriate solutions and suggestions to address them. The sample was represented with books of biology (six-science cla

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Publication Date
Thu Jun 30 2022
Journal Name
Iraqi Journal Of Science
A Comparative Study for Supervised Learning Algorithms to Analyze Sentiment Tweets

      Twitter popularity has increasingly grown in the last few years, influencing life’s social, political, and business aspects. People would leave their tweets on social media about an event, and simultaneously inquire to see other people's experiences and whether they had a positive/negative opinion about that event. Sentiment Analysis can be used to obtain this categorization. Product reviews, events, and other topics from all users that comprise unstructured text comments are gathered and categorized as good, harmful, or neutral using sentiment analysis. Such issues are called polarity classifications. This study aims to use Twitter data about OK cuisine reviews obtained from the Amazon website and compare the effectiveness

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Publication Date
Thu Aug 03 2023
Journal Name
Journal Of Legal Sciences
Civil liability of the Bank for Deposits Received: A Comparative Study

Because bank deposits, whether cash deposits or securities deposits, entail obligations on the bank, it is natural that violating these obligations results in the realization of its civil responsibility, and responsibility in its general meaning is culpability and liability. The source of this obligation was the agreement or the law, and the work of the rules of civil liability is based on the availability of three pillars, which are the error, the damage and the causal relationship between them, and as long as the bank deposit is a contract, the responsibility of the bank in the event of a breach of one of the obligations arising from this contract is definitely a contractual responsibility, but it may be imagined The establishment of t

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Publication Date
Fri Feb 04 2022
Journal Name
Neuroquantology
Detecting Damaged Buildings on Post-Hurricane Satellite Imagery based on Transfer Learning

In this article, Convolution Neural Network (CNN) is used to detect damage and no damage images form satellite imagery using different classifiers. These classifiers are well-known models that are used with CNN to detect and classify images using a specific dataset. The dataset used belongs to the Huston hurricane that caused several damages in the nearby areas. In addition, a transfer learning property is used to store the knowledge (weights) and reuse it in the next task. Moreover, each applied classifier is used to detect the images from the dataset after it is split into training, testing and validation. Keras library is used to apply the CNN algorithm with each selected classifier to detect the images. Furthermore, the performa

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