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1
Soap performance enhancement for high volume messaging / Ali Baba Dauda
Published 2018“…To achieve this aim, LZ77 compression algorithm is modified to encode more symbols. The algorithm is then integrated into two Web services with HTTP and JMS bindings. …”
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Molecular docking studies of Pyranose-2-oxidase from trametes multicolor
Published 2013“…Then this active site is validated by automated docking of the substrates and comparing the docking score with the experimental results. Lamarckian genetic algorithm (LGA) is used to search for active sites and potential mean force (PMF) scoring method is used to evaluate different binding sites. …”
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Proceeding Paper -
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Computer aided design of efficient phytases
Published 2009“…Armed with this understanding, we have mutated the enzyme and have designed a best mutated enzyme with enhanced binding character. We have identified the active site in Eschericia coli phytase and further validated by docking the known ligands in to the active site using well known Genetic Algorithm (GA) techniques. …”
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A bioinformatics approach to analyse a fatty acid and retinol binding protein secreted by ancylostoma caninum: an approach tow ards hookworms vaccine discovery / Normalisa Mohd Sap...
Published 2009“…In this research, we are about to use the bioinformatics to analyze a fatty acid and retinol binding protein secreted by adult Ancylostoma caninum. …”
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Computational design, synthesis and evaluation of caffeine imprinted molecular imprint polymer (MIP)
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Computer Aided Design of Polygalacturonase II from Aspergillus niger
Published 2011“…This is followed by in silico mutations of the enzymes and the automated docking process is repeated using the mutant enzymes. The strength of the binding of the ligands inside the active site is evaluated by computing the binding score using Potential Mean Force (PMF) method. …”
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7
Prediction of novel doping agent through the integration of chemical and biological data using in silico method
Published 2016“…In this study, an in silica method that integrates chemical and biological data was used to predict potential doping agents. The in silica method, also known as in silica target prediction, first analyse patterns of protein-ligand binding from chemical and biological data through the use of machine learning algorithm. …”
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8
SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model
Published 2011“…Results: This paper aims to develop a Self-Organizing Map (SOM) based clustering algorithm for extracting binding sites in DNA sequences. …”
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9
Enhanced chaotic image encryption algorithm based on Baker's map
Published 2003“…From the analysis done, it shows that the security level is high even though keys that are found to be weak keys for Baker’s map algorithm are being used in the algorithm. …”
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Molecular docking of cellobiose and cellotetraose into an endoglucanase from fusarium oxysporum
Published 2014“…The docking of ligands into active site was carried out using Lamarkian Genetic Algorithm with a fast, simplified potential of mean force (PMF) to evaluate the docking efficiency. …”
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Modification and characterization of phytase for animal feed production
Published 2009“…Automated docking based on genetic algorithm is used to dock the phytate in the active site and Partial Mean Force (PMF) scoring is used to calculate the strength of the binding before and after mutation.…”
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AnkPlex: algorithmic structure for refinement of near-native ankyrin-protein docking
Published 2017“…Subsequently, a re-scoring rank was generated by AnkPlex using a combination of a decision tree algorithm and logistic regression. …”
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Rational drug design using genetic algorithm: case of malaria disease
Published 2012“…The genetic algorithm (GA) approach in the autodock4.2 has been used to search for the potential candidate drug in the twenty drugs. …”
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Computer Aided Design of Polygalacturonase II from aspergillus niger
Published 2011“…This is followed by in silico mutations of the enzymes and the automated docking process is repeated using the mutant enzymes. The strength of the binding of the ligands inside the active site is evaluated by computing the binding score using Potential Mean Force (PMF) method. …”
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15
Molecular docking of Cellobiose and Cellotetraose into an Endoglucanase from Fusarium oxysporum
Published 2013“…The docking of ligands into active site was carried out using Lamarkian genetic algorithm with a fast, simplified potential of mean force (PMF) to evaluate the docking efficiency. …”
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Proceeding Paper -
16
Computer Aided Design of potential inhibitors for Gaucher disease
Published 2010“…In this research, we have successfully designed a lead-candidate to act as a potential inhibitor, as a part of substrate reduction therapy by adapting novel in silico method. Lamarckian genetic algorithm is used to locate the potential inhibitor sites in the acid β- glucosidase and strength of the binding is evaluated using potential mean force (PMF) scores. …”
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17
MotionSure: a cloud-based algorithm for detection of injected object in data in motion
Published 2017“…Total 1600 different type of files were used for evaluation of the proposed algorithm, results show that 87% of injected objects were correctly detected…”
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MicroRNA regulation of human choline kinase gene expression
Published 2019“…MiRNAs binding was predicted by several online computer programs that utilize different algorithms. …”
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Elucidating the mechanism of action of Centella asiatica ethanolic extract and triterpenoids as a potential anti-leukaemic agent through the integration of in silico and in vitro s...
Published 2022“…A ligand-based target prediction model comprising 26 leukaemia-related targets and 26,540 compounds was first built using a random forest algorithm. The model was validated through internal and external validation. …”
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