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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...
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Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
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Updated: May 12, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
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A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

The Collaborative Drug Discovery (CDD) database.

Sean Ekins1, Barry A Bunin

  • 1Collaborations in Chemistry, Fuquay Varina, NC, USA.

Methods in Molecular Biology (Clifton, N.J.)
|April 10, 2013
PubMed
Summary
This summary is machine-generated.

Collaborative Drug Discovery (CDD) software facilitates data sharing among researchers to accelerate drug development for neglected diseases. Applications in antimalarial and tuberculosis research demonstrate its collaborative potential.

Related Experiment Videos

Last Updated: May 12, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

Area of Science:

  • Drug discovery and development
  • Computational chemistry and cheminformatics
  • Infectious disease research

Background:

  • Neglected tropical diseases require innovative research approaches.
  • Traditional drug discovery often faces challenges in data sharing and collaboration.
  • The Collaborative Drug Discovery (CDD) platform aims to bridge these gaps.

Purpose of the Study:

  • To introduce the Collaborative Drug Discovery (CDD) software.
  • To highlight the utility of CDD in fostering collaboration among researchers.
  • To showcase CDD applications in antimalarial and tuberculosis research.

Main Methods:

  • Description of the cloud-based CDD software architecture.
  • Case studies illustrating data sharing and collaborative workflows.
  • Analysis of CDD's role in specific research projects.

Main Results:

  • CDD enables seamless sharing of compounds and drug discovery data.
  • Facilitates collaboration between researchers in disparate fields.
  • Demonstrates successful applications in antimalarial and tuberculosis drug discovery.

Conclusions:

  • CDD software is a valuable tool for enhancing collaborative drug discovery.
  • The platform can accelerate research on neglected diseases.
  • Improved collaboration through CDD can lead to better healthcare delivery.