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Wyniki wyszukiwania dla: IN SILICO METABOLISM PREDICTION
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Human carnosinases: A brief history, medicinal relevance, and in silico analyses
PublikacjaCarnosine, an endogenous dipeptide, has been found to have a plethora of medicinal properties, such as antioxidant, antiageing, and chelating effects, but with one downside: a short half-life. Carnosinases and two hydrolytic enzymes, which remain enigmatic, are responsible for these features. Hence, here we emphasize why research is valuable for better understanding crucial concepts like ageing, neurodegradation, and cancerogenesis,...
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Vitamin D Metabolism Gene Polymorphisms and Their Associated Disorders: A Literature Review
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The II phase metabolism of endogenous and exogenous compounds, including antitumor chemotherapeutics
PublikacjaThe II phase metabolism, it is a set of metabolism and excretion pathways of endogenous as well as exogenous compounds including xenobiotics. UDP-glucuronyltransferases (UGTs; EC 2.4.1.17) are the most crucial representatives of II phase enzymes, which are responsible for the transformation of bilirubine and bile acids, steroids and thyroid hormones and lipids. Exogenous compounds, including drugs, carcinogens, environmental pollutants...
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Metabolism of chemical carcinogens
PublikacjaW rozdziale omówiono szlaki przemian metabolicznych wielu grup związków rakotwórczych z uwzględnieniem zarówno reakcji aktywacji jak i detoksykacji. SzczegÓlną uwagę poświęcono związkom rakotwórczym występującym w żywności.
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Fragmentomic analysis of biopeptides in silico released from milk proteins
PublikacjaThe fragmentomic-assisted method was employed to predict the biological potential of peptides derived from milk proteins hydrolyzed by papain and bromelain. Firstly, protein sequences were acquired from the BIOPEP-UWM database and then hydrolyzed by the above enzymes using a BIOPEP-UWM tool called “Enzyme(s) action”. The released peptides were defined as parent peptides and further analyzed for the presence of shorter peptidic...
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Rating Prediction with Contextual Conditional Preferences
PublikacjaExploiting contextual information is considered a good solution to improve the quality of recommendations, aiming at suggesting more relevant items for a specific context. On the other hand, recommender systems research still strive for solving the cold-start problem, namely where not enough information about users and their ratings is available. In this paper we propose a new rating prediction algorithm to face the cold-start...
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Ship Resistance Prediction with Artificial Neural Networks
PublikacjaThe paper is dedicated to a new method of ship’s resistance prediction using Artificial Neural Network (ANN). In the initial stage selected ships parameters are prepared to be used as a training and validation sets. Next step is to verify several network structures and to determine parameters with the highest influence on the result resistance. Finally, other parameters expected to impact the resistance are proposed. The research utilizes...
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Metabolism of antitumour agent 1-nitroacridine derivative, C-1748 in pancreatic cancer cell lines
PublikacjaPancreatic cancer has the highest mortality rate of all major cancers because of limited treatment options. Surgical removal of the tumour is possible only in its early stage, nevertheless the asymptomatic development very often makes unable an accurate diagnose. In the case of metastatic pancreatic cancer only chemotherapy, mainly with gemcitabine, can be offered to patients. However, common resistance towards gemcitabine imposes...
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Analiza in silico bioaktywnych peptydów pochodzących z keratyny z piór drobiowych
PublikacjaKeratyna należy do najbardziej powszechnie występujących białek strukturalnych pochodzenia zwierzęcego. Stanowi ok. 90% masy piór wytwarzanych w dużych ilościach przez przemysł drobiarski. Ten odpadowy produkt pozostaje w dużym stopniu niezagospodarowany. Celem pracy była analiza bioinformatyczna pierwszorzędowej struktury keratyny z piór kurzych pod kątem występowania w niej peptydów bioaktywnych....
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Synthesis and in silico characterization of artificially phosphorylated glycosaminoglycans
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