Alzbeta Tuerkova's Workflows

Integrative data mining of chemical compou... (1)

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This workflow downloads ligand data for hepatic Organic Anion Transporting Polypeptides (OATPs) from five different open sources (CHEMBL, Metrabase, USFC-FDA Transportal, IUPHAR, and Drugbank) in an semi-automatized fashion. This workflow can be adopted to any other ligand data showing an (in)activity against membrane transporter. If missing, structural file format is mapped via PubChem webservices. Pre-curated compounds are subjected to standardization procedure (Atkinson standardization scr...

Created: 2018-12-10 | Last updated: 2018-12-10

Credits: Alzbeta Tuerkova

Substructure querying | R-group decomposit... (1)

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This workflow creates maximum common substructure (MCS) out of the provided structures and then substructure mining using MCS as a structural query is performed. Obtained hits are then subjected to R-group decomposition to explore their functional groups. Optionally, physicochemical descriptors for individual functional groups can be calculated.

Created: 2018-10-25

Credits: Alzbeta Tuerkova Barbara Zdrazil

Scaffold Analysis | Statistical analysis o... (1)

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This workflow performs an extraction and statistical analysis of Murcko scaffolds for compounds being active against (a) different target(s). Specifically, target-wise detection of Murcko Scaffolds in active versus inactive compounds, filtering steps by removing too generic scaffold (i.e., number of rings equals to one OR number of heteroatoms in a ring is zero or one), calculating the frequency of a particular scaffold which appears frequently in the active over inactive class, applying Fish...

Created: 2018-10-25

Credits: Alzbeta Tuerkova Barbara Zdrazil