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Related Concept Videos

Drug Discovery: Overview01:26

Drug Discovery: Overview

Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
Applications Of NMR In Biology01:25

Applications Of NMR In Biology

Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics  for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
The...

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Related Experiment Video

Updated: May 17, 2026

Pattern-based Search of Epigenomic Data Using GeNemo
06:38

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

Drug discovery applications for KNIME: an open source data mining platform.

Michael P Mazanetz1, Robert J Marmon, Catherine B T Reisser

  • 1Evotec (UK) limited, 114 Milton Park, Abingdon, Oxfordshire, OX14 4SA, UK. michael.mazanetz@evotec.com

Current Topics in Medicinal Chemistry
|November 1, 2012
PubMed
Summary
This summary is machine-generated.

Open source data mining tools like KNIME (Konstanz Information Miner) are crucial for drug discovery. They provide accessible data analysis for researchers, accelerating the identification of new therapeutic targets.

Related Experiment Videos

Last Updated: May 17, 2026

Pattern-based Search of Epigenomic Data Using GeNemo
06:38

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

Area of Science:

  • Bioinformatics
  • Computational Chemistry
  • Drug Discovery

Background:

  • High-throughput screening, combinatorial chemistry, and virtual libraries generate vast datasets.
  • Publicly available data resources have expanded access for academic and smaller research groups.
  • Rising R&D costs necessitate cost-effective data mining solutions.

Purpose of the Study:

  • To review KNIME (Konstanz Information Miner) as an open-source data mining tool.
  • To explore the applications of KNIME in the drug discovery pipeline.

Main Methods:

  • Utilizing KNIME's visual workflow assembly for data analysis.
  • Leveraging KNIME's extensive repository of tools for integrated data mining.
  • Examining case studies and examples of KNIME application in drug discovery.

Main Results:

  • KNIME offers a comprehensive, open-source solution for data mining in drug discovery.
  • Its visual interface and extensive tools streamline complex data analysis.
  • KNIME empowers researchers by providing access to advanced data mining capabilities.

Conclusions:

  • KNIME is a leading open-source data mining platform with significant applications in drug discovery.
  • Its accessibility and functionality support researchers in identifying challenging drug targets.
  • KNIME facilitates efficient data analysis across the entire drug discovery pipeline.