This study investigates the oil extraction from Pistacia Khinjuk by the application of enzyme.Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS) were applied formodeling and prediction of oil extraction yield. 16 data points were collected and the ANN was trained with onehidden layer using various numbers of neurons. A two-layered ANN provides the best results, us...

Assignment of function for enzymes encoded in sequenced genomes is a challenging task. Predictions of enzyme function can be made using clues from superfamily assignment, structure, genome context, phylogenetic conservation, and virtual screening to identify potential ligands. Ultimately, confident assignment of function requires experimental verification as well as an understanding of the phys...

A novel enzyme engineering strategy for accelerated catalysis based on redesigning a water network through protein backbone deshielding is presented. Fundamental insight into the energetic consequences associated with the design is discussed in the light of experimental results and computer simulations. Using water as biobricks provides unique opportunities when transition state stabilisation i...

Metabolism is one of the most complex cellular processes. Connections between biochemical reactions via substrate and product metabolites create complex metabolic networks that may be analyzed using network theory, stoichiometric analysis, and information on protein structure/function and metabolite properties. These frameworks take into consideration different aspects of enzyme chemistry, enzy...

Biological microelectromechanical systems (bioMEMS) provide an attractive approach to understanding and modifying enzymatic pathways by separating and interrogating individual reaction steps at localized sites in a microfluidic network. We have previously shown that electrodeposited chitosan enables immobilization of an enzyme at a specific site while maintaining its catalytic activity. While p...

We introduce the concept of metaconsensus and employ it to make high confidence predictions of early enzyme functions and the metabolic properties that they may have produced. Several independent studies have used comparative bioinformatics methods to identify taxonomically broad features of genomic sequence data, protein structure data, and metabolic pathway data in order to predict physiologi...

laboratory diagnosis of acute measles is usually achieved by serology assays for measle-specific igm antibody. for comparison of measle-specific igm antibody in saliva and serum, 95 paired blood and saliva samples were collected 1-14 days after the onset of rash. the specimens were tested for specific igm antibody by an igm antibody-capture enzyme immunoassay (eia). measles igm antibody was det...

the aim of this study was to evaluate an enzyme - linked immunosorbent assay (elisa) for the detection of anti - helicobacter pylori (h. pylori) specific igg antibodies in specimens of oral fluid. all subjects over the age 18 years undergoing endoscopy for any reason were asked to participate in the study. two groups of 44 patients in each were selected as hp+ and hp-. at the same time, 5 milli...

examples of inter- and intramolecular direct co-functioning of lectins and enzymes are summarized. the data indicate importance of lectin-enzyme relationships in molecular and clinical microbiology and medical biotechnology. lectin-enzyme relationships have extended prospects in medicine and biotechnology.

Abstract Metal organic frameworks (MOFs) are multi-dimensional network of crystalline material held together by bonding metal atoms and ligands. Owing to unique structural, chemical, physical properties, MOFs has been used for enzyme immobilization be employed in different catalytic process, including degradation antibiotics. Immobilization process other than providing large surface provides wi...