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Peptide Identification Using Tandem Mass Spectrometry01:33

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Related Experiment Video

Updated: Aug 28, 2025

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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TAIGET: A small-molecule target identification and annotation web server.

Xuxu Wei1,2, Jiarui Yang3, Simin Li1

  • 1Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, China.

Frontiers in Pharmacology
|September 15, 2022
PubMed
Summary
This summary is machine-generated.

TAIGET is a new web tool that simplifies small molecule target identification and annotation for drug discovery. It uses docking, Bayesian models, and literature mining to identify potential drug targets, making virtual drug discovery more accessible.

Keywords:
botanical drugcancertarget annotationtarget predictionweb server

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Area of Science:

  • Computational chemistry
  • Bioinformatics
  • Drug discovery

Background:

  • Accurate small molecule target identification is crucial for pharmaceutical research and drug development.
  • Efficient target annotation aids in understanding drug mechanisms and predicting efficacy.

Purpose of the Study:

  • To introduce TAIGET, a user-friendly graphical web interface for small molecule target identification and annotation.
  • To lower the barrier for researchers, especially non-experts, in virtual drug discovery.

Main Methods:

  • TAIGET integrates AutoDock Vina and LeDock for molecular docking.
  • A Bayesian-Gaussian mixture model (BGMM) is employed for target screening.
  • A target annotation module is built using a curated database from over 14,000 cancer-related literature works.

Main Results:

  • TAIGET generates binding poses by analyzing protein-ligand interactions from UniProt ID-PDB and SMILES data.
  • Potential targets are screened using the BGMM.
  • A comprehensive target annotation module links drugs, genes, cancer phenotypes, and cell types, visualized via a protein-protein interaction (PPI) network.

Conclusions:

  • TAIGET significantly simplifies virtual target identification, making advanced computational methods accessible to a broader research community.
  • The integrated platform facilitates efficient drug target discovery and annotation in cancer research.