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Solubility is the measure of the maximum amount of solute that can be dissolved in a given quantity of solvent at a given temperature and pressure. Solubility is usually measured in molarity (M) or moles per liter (mol/L). A compound is termed soluble if it dissolves in water.
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Pure substances consist of only one type of matter. A pure substance can be an element or a compound. An element consists of only one type of atom, while a compound consists of two or more types of atoms held together by a chemical bond. Elements are classified as atomic or molecular based on the nature of their basic units.
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Accessing Public Compound Databases with KNIME.

Jennifer Hemmerich1, Jana Gurinova1, Daniela Digles1

  • 1Department of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.

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Summary
This summary is machine-generated.

This study explores accessing public data for KNIME (Konstanz Information Miner) workflows. It details methods for integrating external chemical and pharmacoinformatics data, crucial for research when in-house data is limited.

Keywords:
APIKNIMERESTchemical standardizationdata curationdata miningdatabaseweb service

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Area of Science:

  • Cheminformatics
  • Pharmacoinformatics
  • Bioinformatics

Background:

  • The KNIME platform provides tools for cheminformatics and pharmacoinformatics data analysis.
  • Accessing external data is often necessary due to limited in-house datasets.
  • Integrating third-party data into KNIME workflows can be challenging.

Purpose of the Study:

  • To outline methods for accessing public data sources within KNIME.
  • To provide an overview of existing KNIME nodes for various data sources.
  • To present a general approach for accessing web-based data interfaces in KNIME.

Main Methods:

  • Review of KNIME nodes for public data integration.
  • Demonstration of accessing web interfaces via KNIME for data retrieval.
  • Discussion of data preprocessing steps including curation and standardization.

Main Results:

  • Identification of various KNIME nodes for accessing diverse public data.
  • A generalized method for integrating data from sources lacking dedicated nodes.
  • Guidelines for essential data preprocessing steps.

Conclusions:

  • KNIME offers multiple pathways to integrate public cheminformatics and pharmacoinformatics data.
  • A systematic approach facilitates data acquisition and preparation for analysis.
  • These methods enhance the utility of KNIME for data-driven research.