Krystian Eitner

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The modeling of the severe acute respiratory syndrome coronavirus helicase ATPase catalytic domain was performed using the protein structure prediction Meta Server and the 3D Jury method for model selection, which resulted in the identification of 1JPR, 1UAA and 1W36 PDB structures as suitable templates for creating a full atom 3D model. This model was(More)
To be an effective medicine a drug has to possess many attributes to ensure target potency and specificity, lack of toxicity, bioavailability and duration of action. Discovering a compound with these properties is invariably an evolutionary process. Fragment based drug discovery sets out to identify a starting compound by screening a library of small(More)
In many cases, at the beginning of a high throughput screening experiment some information about active molecules is already available. Active compounds (such as substrate analogues, natural products and inhibitors of related proteins) are often identified in low throughput validation studies on a biochemical target. Sometimes the additional structural(More)
Owing to the recent development of virtual high-throughput screening (vHTS) and a vast number of compounds subjected to vHTS analyses, it has been essential to automate the processing of computational data required for the analysis and visualization of research results. Using the search for tyrosine-tRNA ligase inhibitors as an example, we present a(More)
MOTIVATION The article presents results of the listing of the quantity of amino acids, dipeptides and tripeptides for all proteins available in the UNIPROT-TREMBL database and the listing for selected species and enzymes. UNIPROT-TREMBL contains protein sequences associated with computationally generated annotations and large-scale functional(More)
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