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58 articles for “Structure Prediction”
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Research ArticleOpen accessIn the abstractIn Silico Characterization and Motif Election of Neurotoxins from Snake VenomMahmudul Hasan, Ziaul Faruque Joy, Elius Hossain Bhuiyan, Md Shiful IslamSnake venom is a mixture of many biological components. Snakes usually use their venomic armory to tackle different prey and predators in adverse natural world. Among various components of the snake venom, neurotoxins play an important role in exerting effect by blocking the neuromuscular transmission through selective binding to muscle nicotinic Acetyl-Choline Receptors (nAChR). A set of 30 reference protein … …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 2 · 2 Mar 2015 · 7,702 accessesView PDFCite
Research ArticleOpen accessIn the abstractDESIGN OF CANDIDA ANTARCTICA LIPASE B THERMOSTABILITY IMPROVEMENT BY INTRODUCING EXTRA DISULFIDE BOND INTO THE ENZYMEUsman Sumo Friend Tambunan, Ahmad Randy, Arli Aditya ParikesitCandida Antarctica Lipase B (CALB) is extensively studied in enzymatic production of biodiesel, pharmaceutical products, detergents and other chemicals. One drawback of using CALB is its relatively low optimum temperature at 313 K (40°C). The objective of this research is to design CALB mutant with improved thermostability by introducing extra disulfide bond. Molecular dynamic simulation was conducted to get better … …OnLine Journal of Biological Sciences, Vol. 14, Issue 2 · 18 Apr 2014 · 9,492 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Implementation of Novel Artificial Neural Network Based Stock Market Forecasting System on Field-Programmable Gate ArraysMd. Syedul Amin, Md. Mamun, Fazida Hanim Hashim et al.Problem statement: Multiagent system is very proficient and has rules well-suited for financial forecast with its neural network. In financial forecasting, the approach for rules extractions is less pertinent and involves algorithms which are complex. The unsupervised network method lacks in comprehensibility and leads to ambiguity. Approach: The application of neural network technology to real-time processing of financial market analysis … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 12 Sep 2011 · 7,627 accessesView PDFCite
Research ArticleOpen accessIn the abstractINCORPORATING PRIOR KNOWLEDGE INTO TEMPORAL DIFFERENCE NETWORKSBritton Wolfe, James HarpeDeveloping general purpose algorithms for learning an accurate model of dynamical systems from example traces of the system is still a challenging research problem. Predictive State Representation (PSR) models represent the state of a dynamical system as a set of predictions about future events. Our work focuses on improving Temporal Difference Networks (TD Nets), a general class of predictive state … …Journal of Computer Science, Vol. 10, Issue 11 · 18 Dec 2014 · 7,837 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeveloping and Testing Dynamic Models for HVAC Systems Using System Identification ApproachNabil Nassif, Jasmine Buford, Taher M. Abu-LebdehThis paper proposes integrated modeling and optimization methods for a chilled water HVAC system using a system identification approach. Two multiple input-single output models are developed to find the supply air temperature and fan power of the investigated chilled water air handling unit AHU. To test the proposed models, actual data are collected from existing HVAC systems. Different fan and … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 15 Mar 2017 · 7,710 accessesView PDFCite
Research ArticleOpen accessIn the abstractAmino Acid Sequence of Amylase Type Alpha, MiAmy, from Ok-Rong Mango (Mangifera indica Linn. cv. Ok-Rong)Raksmont Ubonbal, Saijai Posoongnoen, Jureerut Daduang et al.The 594-amino acid residue sequence of α-amylase, MiAmy, from the Ok-rong mango (Mangifera indica Linn. cv. Ok-rong), in the ripening stage, was determined through Reverse Transcription Polymerase Chain Reaction (RT-PCR). Sequence alignments and evolutionary tree analyses revealed its high similarity to plastid α-amylase from many other plants. The sequence was revealed to have four conserved regions with catalytic amino acid … …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 3 · 19 Aug 2015 · 7,215 accessesView PDFCite
Research ArticleOpen accessIn the abstractIsing Model for Conductive Percolation in Electrically Conductive Adhesives by Considering Random Arrangement of Conducting ParticlesMora, Sahrul Saehana, Euis Sustini et al.Problem statement: Thermodynamically, particles in composites will arrange in a way such that the Helmholtz free energy is minimized. However, even a single structure has the lowest free energy, it should not ignore the probability of other structures having larger energies to occur, although at small chances. Approach: All possible arrangements of particles in the composites, therefore, must be taken … …American Journal of Applied Sciences, Vol. 9, Issue 7 · 30 May 2012 · 7,243 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Efficient Finite Element Software of Crack Propagation Simulation using Adaptive Mesh StrategyAbdulnaser M. Alshoaibi, A. K. Ariffin, M. N. AlmaghrabiThe purpose of this study is on the determination of 2D crack paths and surfaces as well as on the evaluation of the stress intensity factors as a part of the damage tolerant assessment. Problem statement: The evaluation of SIFs and crack tip singular stresses for arbitrary fracture structure are a challenging problem, involving the calculation of the crack path … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 7,822 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIdentification of Influential Nodes With Topological Structure Via GRAPH Neural Network (GNN) Approach in Social Media NetworksRajnish Kumar, Laxmi Ahuja, Suman Mann, Sanmukh KaurThe amount of data in social networks is vast these days, and constantly changing, making influential node identification crucial. The existing topologies are constantly changing due to the evolving behavior of the applied dataset. Node and leaf topology or feature-based value form the basis for machine learning and centrality computation. Hence, influential node value determination is based on the node … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,830 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAnchoring Public Health Forecasts: High-Precision Obesity Prevalence Estimation Via Hybrid Geodemographic Ensemble RegressionTrenton Ward, Isaac OsunmakindeObesity remains a major driver of chronic disease and rising healthcare costs in the United States. Yet, most existing predictive models rely on single-model classifiers and rarely incorporate spatial structure or ensemble-based regression, thereby limiting their ability to capture geodemographic variation. This study introduces a hybrid unsupervised–supervised ensemble framework that integrates K-Means spatial profiling with a Stacking Regressor to address … …Journal of Computer Science, Vol. 22, Issue 7 · 31 Jul 2026 · 632 accessesView PDFCite