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64 results for “protein sequence”
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Research ArticleOpen accessPhrase in the titleA Novel 2D Graphical Representation and its Application in the Similarities/Dissimilarities Analysis of Protein SequencesXianyou ZhuIn this study, a novel 2D graphical representation of protein sequences is proposed based on the physicochemical feature pK2 of amino acids first and then, on the basis of the newly given 2D graphical representation, a new concept of feature appearance model is introduced to analyze the similarity/dissimilarity of protein sequences. Finally, Theoretical and simulation results show that the newly … …American Journal of Biochemistry and Biotechnology, Vol. 12, Issue 1 · 17 Mar 2016 · 6,964 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleThe Parallel Maximal Cliques Algorithm for Protein Sequence ClusteringKhalid Jaber, Nur’Aini Abdul Rashid, Rosni AbdullahProblem statement: Protein sequence clustering is a method used to discover relations between proteins. This method groups the proteins based on their common features. It is a core process in protein sequence classification. Graph theory has been used in protein sequence clustering as a means of partitioning the data into groups, where each group constitutes a cluster. Mohseni-Zadeh introduced a … …American Journal of Applied Sciences, Vol. 6, Issue 7 · 31 Jul 2009 · 7,100 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleNimble Protein Sequence Alignment in Grid (NPSAG)K. Somasundaram, S. RadhakrishnanIn Bio-Informatics application, the analysis of protein sequence is a kind of computation driven science which has rapidly and quickly growing biological data. Also databases used in these applications are heterogeneous in nature and alignment of protein sequence using physical techniques is expensive, slow and results are not always guaranteed/accurate. So this application requires cross-platform, cost-effective and more computing power … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 6,921 accessesView PDFCite
Review ArticleOpen accessPhrase in the titleProtein Sequences Features Extraction for Predicting Beta- Turns and their Types: A ReviewMurtada Khalafallah Elbashir ElfakiBeta-turns are considered to be important secondary structure types that have essential role in molecular recognition, protein folding and stability. They represent 25% of protein structures, therefore they are the most common type of non-repetitive or tight turns structures. Their prediction is considered to be an important issue in bioinformatics and molecular biology, because it provides valuable information and inputs … …Journal of Computer Science, Vol. 15, Issue 9 · 1 Oct 2019 · 7,694 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNucleotide Sequence of the Coat Protein Gene of the Malaysian Passiflora Virus and its 3' Non-Coding RegionNorzihan Abdullah, Ismanizan Ismail, Vilasini Pillai et al.Problem statement: In this study, we identified the full length Coat Protein (CP) gene of the Malaysian Passiflora Virus (MPV) and its 3' non-coding region. The CP gene of the MPV contained 285 amino acid residues. Approach: Pairwise comparison of the MPV CP region with four other potyviruses, namely East Asian Passiflora Virus (EAPV), Passionfruit Woodiness Virus (PWV), Bean Common … …American Journal of Applied Sciences, Vol. 6, Issue 9 · 30 Sep 2009 · 7,723 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDevelopment of Deduced Protein Database Using Variable Bit Binary EncodingB. Parvathavarthini, B. Rajesh Kanna, L. RajeswarideviA large amount of biological data is semi-structured and stored in any one the following file formats such as flat, XML and relational files. These databases must be integrated with the structured data available in relational or object-oriented databases. The sequence matching process is difficult in such file format, because string comparison takes more computation cost and time. To reduce … …Journal of Computer Science, Vol. 4, Issue 6 · 30 Jun 2008 · 6,512 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHMGD: A High-Accuracy Model for Detection and Prediction of Respiratory Genetic DiseasesKamal ElDahshan, Hesham Hefny, Iman Ahmed ElSayedRespiratory genetic diseases are considered a major participant in the reasons of death worldwide nowadays and were one of the major participants in helping in increasing the numbers of COVID-19 patients. It is considered one of the most alarming diseases affecting in particular the respiratory system. The journey of early detection of respiratory genetic diseases is considered to be very … …Journal of Computer Science, Vol. 20, Issue 6 · 30 Mar 2024 · 5,272 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing N-linked Glycosylation Site Prediction in Human Proteins with Ensemble Stacking and Cross-ValidationMubina Malik, Jaimin UndaviaThe most frequent post-translational modification of proteins in all territories is glycosylation which impacts many biological activities. The most significant and critical of these modifications is N-linked glycosylation which is associated with various human diseases including diabetes cancer Inflammation Alzheimers and atherosclerosis. This article illustrates recent advances in knowledge of biology that are eventually targeting the computer science sector. Moreover-identification … …Journal of Computer Science, Vol. 20, Issue 12 · 20 Nov 2024 · 4,999 accessesView PDFCite
Research ArticleOpen accessIn the abstractModel Classification for Predicting the Post-Translational Modification (PTM) Glycosylation in Sequence O Using an Extreme Gradient Boosting AlgorithmDamayanti, Sutyarso et al.Post Translational Modification (PTM) is an important mechanism involved in regulating protein function. Post-translational modification refers to the addition of covalent and enzymatic modifications of proteins in protein biosynthesis, which has an important role in modifying protein function and regulating gene expression. One of the post-translational modifications is glycosylation. Glycosylation is the addition of a sugar group to a protein … …Journal of Computer Science, Vol. 20, Issue 7 · 29 Apr 2024 · 5,554 accessesView PDFCite
Research ArticleOpen accessIn the abstractProtein Secondary Structure Prediction using Hybrid Recurrent Neural NetworksRomana Rahman Ema, Akhi Khatun, Md. Alam Hossain et al.The most important and challenging problem in bioinformatics is protein secondary structure prediction. The molecules of all protein organisms have three-dimensional (primary, secondary, 3-D) structures which are completely recognized by the sequence of amino acids. Protein secondary structure attributes to the polypeptide backbone of the local configuration of proteins. Most generally, the second-level prediction is indicated such as: If there … …Journal of Computer Science, Vol. 18, Issue 7 · 14 Jul 2022 · 7,332 accessesView PDFCite