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Related Concept Videos

Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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...
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

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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Related Experiment Video

Updated: May 19, 2026

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

DTome: a web-based tool for drug-target interactome construction.

Jingchun Sun1, Yonghui Wu, Hua Xu

  • 1Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.

BMC Bioinformatics
|August 21, 2012
PubMed
Summary

DTome is a new web tool that builds drug-target networks to help researchers understand drug actions and find new drug targets. It integrates various data sources for drug discovery and toxicology.

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Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling
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Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

Published on: November 17, 2019

Related Experiment Videos

Last Updated: May 19, 2026

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling
11:19

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

Published on: November 17, 2019

Area of Science:

  • Computational Biology
  • Pharmacology
  • Bioinformatics

Background:

  • Understanding drug bioactivities is critical for drug discovery, toxicology, and clinical trials.
  • Network pharmacology offers a promising approach to elucidate drug mechanisms.
  • The increasing volume of drug data necessitates automated tools for network construction.

Purpose of the Study:

  • To develop an automated computational workflow for constructing drug-target networks.
  • To create a user-friendly web-based tool, DTome (Drug-Target interactome tool), for facilitating drug discovery.

Main Methods:

  • Designed a computational workflow integrating data from DrugBank, PharmGKB, and PINA.
  • Developed DTome, a web-based tool with a database schema and interface.
  • DTome extracts and integrates four interaction types: adverse drug interactions, drug-target interactions, drug-gene associations, and target-/gene-protein interactions.
  • Included network analysis and visualization capabilities.

Main Results:

  • Successfully created the DTome tool for automated drug-target network construction.
  • DTome integrates diverse biological and chemical data sources.
  • Demonstrated the tool's utility with the antipsychotic drug clozapine.

Conclusions:

  • The DTome tool effectively investigates relationships between drugs, targets, genes, and interacting proteins.
  • DTome provides insights into drug action mechanisms and facilitates the identification of drug targets and adverse interactions.
  • The tool is publicly available to aid researchers in drug discovery and safety assessment.