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61 results for “Structure Prediction”
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Review ArticleOpen accessIn the abstractProtein 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 accessIn the abstractThe Construction of Two and Three Dimensional Molecular Models for the miR-31 and Its Silencer as the Triple Negative Breast Cancer BiomarkersArli Aditya ParikesitThe Triple Negative Breast Cancer (TNBC) is considered as the most difficult Breast Cancer type to be medicated. So far, the acceptable medication and diagnostics measure are based upon the proteomics-world view, especially with utilizing the natural products and their derivatives as drug candidates. However, as the transcriptomics-studies are getting more advanced, the research on non-coding (nc)RNA is being considered … …OnLine Journal of Biological Sciences, Vol. 18, Issue 4 · 18 Oct 2018 · 7,772 accessesView PDFCite
Research ArticleOpen accessIn the abstractTopic-Transformer for Document-Level Language UnderstandingOumaima Hourrane, El Habib BenlahmarAs long as natural language processing applications are considered prediction problems with insufficient context, usually referred to as a single sentence or paragraph, this does not reveal how humans perceive natural language. When reading a text, humans are sensitive to much more context, such as the rest or other relevant documents. This study focuses on simultaneously capturing syntax and global … …Journal of Computer Science, Vol. 18, Issue 1 · 22 Jan 2022 · 6,616 accessesView PDFCite
Research ArticleOpen accessIn the abstract3D-QSAR and SVM Prediction of BRAF-V600E and HIV Integrase Inhibitors: A Comparative Study and Characterization of Performance with a New Expected Prediction Performance MetricLeonard Wesley, Saihitha Veerapaneni, Rachana Desai et al.The results of directly comparing the prediction accuracy of optimized 3D Quantitative Structure-Activity Relationship (3D-QSAR) models and linear Support Vector Machine (SVM) classifiers to identify small molecule inhibitors of the BRAF-V600E and HIV Integrase targets are reported. Performance comparisons were carried out using 303 compounds (68 active) against BRAF-V600E and 204 compounds (159 active) against HIV Integrase. A SVM prediction … …American Journal of Biochemistry and Biotechnology, Vol. 12, Issue 4 · 17 Oct 2016 · 7,802 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance of Hybrid GANN in Comparison with Other Standalone Models on Dengue Outbreak PredictionNor Azura Husin, Norwati Mustapha, Md. Nasir Sulaiman et al.Early prediction of diseases especially dengue fever in the case of Malaysia, is very crucial to enable health authorities to develop response strategies and context preventive intervention programs such as awareness campaigns for the high risk population before an outbreak occurs. Some of the deficiencies in dengue epidemiology are insufficient awareness on the parameter as well as the combination among … …Journal of Computer Science, Vol. 12, Issue 6 · 2 Jul 2016 · 8,162 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputational Analysis of Particulate Flow in Expansion ChannelNor Azwadi Che Sidik, Leila JahanshalooComputational prediction of fluid-solid particle interaction in an expansion horizontal channel with wide range of Reynolds numbers. Lagrangian-Lagrangian numerical technique to predict the movement of solid particle. The method is based on mesocale scheme of lattice Boltzmann method for prediction of fluid dynamics and second Newton’s law for the dynamics of solid particles. The flow behaviour at the downstream of … …American Journal of Applied Sciences, Vol. 10, Issue 4 · 20 Apr 2013 · 6,501 accessesView PDFCite
Research ArticleOpen accessIn the abstractIn Silico Analysis of Envelope Dengue Virus-2 and Envelope Dengue Virus-3 Protein as the Backbone of Dengue Virus Tetravalent Vaccine by Using Homology Modeling MethodUsman Sumo Friend Tambunan, Arli Aditya Parikesit, Hendra et al.Problem statement: Dengue fever, which was caused by Dengue virus infection, had became a major public health problem in the tropic and subtropical countries. Dengue virus (DENV) had four serotypes (DENV-1, DENV-2, DENV-3 and DENV-4), based on their immunogenic in the human body. Preventive measure will be necessary to decrease the prevalence of dengue fever, by developing modern vaccine. Approach: … …OnLine Journal of Biological Sciences, Vol. 9, Issue 1 · 3 Sep 2010 · 9,265 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Neighbors Atomic Coordinate Tables and Plot-Graphical Representation for Tertiary Structure in ProteinsHamed Fawareh, Jehad Q. Odeh, Nawal Al-OmoushProblem statement: Contact map prediction is an interesting method for its application in fold recognition and protein tertiary structure determination. Approach: This study developed a method to predict a protein tertiary structure from the amino acid sequence using contact map. The method showed prediction a protein in a binary space of exposure states. The approach produced several procedures to finds … …Journal of Computer Science, Vol. 6, Issue 6 · 30 Jun 2010 · 6,892 accessesView PDFCite
Research ArticleOpen accessIn the abstractCreep predicting model in masonry structure utilizing dynamic neural networkMustafa M. Abed, A. El-Shafie, Siti Aminah Bt. OsmanProblem statement: When the loads are applied to a brickwork structure, visco-elastic behavior upon their stress-strain relationships is exhibited, where the response can be classified into two separate parts: an instantaneous elastic strains and time-dependent creep strains. The creep strain represents the non- instantaneous strain that happens with time when the stress is sustained. Through the previous century, along with … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,627 accessesView PDFCite