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65 results for “Computational Studies”
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Research ArticleOpen accessIn the abstractRandom Forest-Based Genome Analysis for Disease Association and SNP Marker IdentificationXiangdong LiuAt present, genomic data analysis has the problems of insufficient model interpretation and limited computational efficiency in disease association research. As a powerful machine learning algorithm, Random Forest has demonstrated excellent ability in processing complex and multi-dimensional data sets and has gradually become a popular tool in the field of bioinformatics. The purpose of this paper is to explore how … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 25 Jul 2025 · 5,533 accessesView PDFCite
Research ArticleOpen accessIn the abstractIn silico and in vitro Structural Analysis on the Interaction of Calmodulin and Calmodulin-Binding Motif of FKBP35 from Plasmodium knowlesiSazlinawatie Aladin, Cahyo Budiman et al.FK506-binding protein 35 (FKBP35) is a peptidyl-prolyl cis-trans isomerase found in Plasmodium knowlesi, a zoonotic malaria parasite responsible for concerning cases of malaria infection in East Malaysia. This protein contains a segment known as the calmodulin-binding motif (Pk-CBM), which is predicted to facilitate interaction with calmodulin from P. knowlesi (Pk-CaM). Although this interaction is considered promising for future antimalarial drug … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 10 Mar 2025 · 4,846 accessesView PDFCite
Research ArticleOpen accessIn the abstractLogistic Regression with Multi-Connected WeightsAvazjon Marakhimov Rakhimovich, Kabul Khudaybergenov Kadirbergenovich, Zahriddin Muminov Ishkobilovich, Kudaybergenov Jabbarbergen KadirbergenovichResults of current research in biological and cognitive science reveal that neuronal interactions predominantly depend on neurotransmitters for signaling and sending information between neurons. Furthermore, a specific neuron that is connected to the next neuron transmits or sends multiple neurotransmitters in parallel ways, where each neurotransmitter has specific functional roles. Based on these results, a new type of logistic regression … …Journal of Computer Science, Vol. 20, Issue 9 · 4 Jul 2024 · 5,059 accessesView PDFCite
EditorialOpen accessIn the abstractFocalize the Structure of Myd88 in TLR Signaling Pathway to Modulate Innate Immune Response: New Target for Old DiseasesShuai Xing, Ping ZhouAll diseases have their Achilles’ Heel to target and this is especially true for immunorelated diseases which must be treated by targeting the immune system somewhere and somehow correctly. In the most recent decade, immunologists recognized that the Toll-Like Receptor (TLR) signaling pathway in innate immune system plays a double-edged role in the pathogenesis of many notorious diseases. Although the … …American Journal of Immunology, Vol. 13, Issue 3 · 6 Sep 2017 · 7,862 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effect of RSA Exponential Key Growth on the Multi-Core Computational ResourceMohamad A. Mohamed, Ammar Y. Tuama, Mokhairi Makhtar et al.Cryptography has been widely used as a mean to secure message communication. A cryptosystem is made up of a publicly available algorithm and a secretly kept key. The algorithm is responsible for transforming the original message into something unintelligible. The result of losing the key or cracked algorithm can be catastrophic, where all secret communications will be known to adversaries. … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 25 Nov 2016 · 7,827 accessesView PDFCite
Research ArticleOpen accessIn the abstractEncouraging High School Student Interest in Computing Studies in GCC: UAE Case StudyManar Abu TalibComputational studies have an impact on fields like biology, chemistry, linguistics, psychology, economics and statistics. They develop skills such as problem solving and systems design and improve understanding about the power and limits of human and machine intelligence. The Global Science Forum emphasizes on collecting accurate and unbiased information as important strategy to increase the attractiveness of Science and Technology … …Journal of Computer Science, Vol. 11, Issue 11 · 11 Jan 2016 · 6,842 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of Oath Writing Style on Stylometric Features and Machine Learning ClassifiersAhmad Alqurneh, Aida MustaphaComputational stylometry is the field that studies the distinctive style of a written text using computational tasks. The first task is how to define quantifiable measures in a text and the second is to classify the text into a predefined category. This study propose a stylometric features selection approach evaluated by machine learning algorithms to find the finest of the … …Journal of Computer Science, Vol. 11, Issue 2 · 9 Sep 2014 · 7,142 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of Pharmacological Targets Combining Docking and Molecular Dynamics SimulationsIlizaliturri-Flores Ian, Rosas-Trigueros Jorge Luis, Carrillo-Vazquez Jonathan Pablo et al.Studies that include both experimental data and computational simulations (in silico) have increased in number because the techniques are complementary. In silico methodologies are currently an essential component of drug design; moreover, identification and optimization of the best ligand based on the structures of biomolecules are common scientific challenges. Geometric structural properties of biomolecules explain their behavior and interactions and … …American Journal of Agricultural and Biological Sciences, Vol. 8, Issue 1 · 21 Mar 2013 · 8,128 accessesView PDFCite