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MolTarPred: A web tool for comprehensive target prediction with reliability estimation.

Author: BallesterPedro J, GhislatGhita, LeungKwong-Sak, LiHongjian, LuGang, PeónAntonio, WongMan-Hon

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.
Research Support, Non-U.S. Gov'tResearch funding provided by government agencies outside the United States.

Overview

MolTarPred is a user-friendly web tool for predicting protein targets of small organic compounds. It is powered by a large knowledge base of compounds and targets collected from the ChEMBL database and provides a reliability score for each prediction.
Paper Details　
Original Abstract of the Article :
Molecular target prediction can provide a starting point to understand the efficacy and side effects of phenotypic screening hits. Unfortunately, the vast majority of in silico target prediction methods are not available as web tools. Furthermore, these are limited in the number of targets that can ...See full text at original site
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引用元：
https://doi.org/10.1111/cbdd.13516

データ提供：米国国立医学図書館（NLM）

MolTarPred: A Web Tool for Comprehensive Target Prediction with Reliability Estimation

This research introduces MolTarPred, a user-friendly web tool designed to predict protein targets of small organic compounds. The tool is powered by a large knowledge base of compounds and targets, providing researchers with a valuable resource for exploring the potential effects of new molecules. This research is like discovering a new oasis in the desert of drug discovery, providing a more efficient and reliable tool for guiding research efforts.

MolTarPred: A Guide Through the Desert of Drug Discovery

MolTarPred offers a comprehensive and reliable approach to target prediction, streamlining the process of drug discovery. The tool helps researchers to identify the potential targets of new compounds, saving time and resources by prioritizing the most promising candidates. This is like having a map to navigate the vast and often treacherous desert of drug discovery.

Improving the Efficiency of Drug Discovery

MolTarPred has the potential to significantly improve the efficiency of drug discovery by providing a more reliable and comprehensive approach to target prediction. This tool can help to accelerate the development of new drugs, offering hope for faster and more effective treatments for a wide range of diseases. This is like finding a shortcut through a desert, allowing us to reach our destination faster and with greater certainty.

Dr. Camel's Conclusion

This research is a testament to the power of innovation in the desert of drug discovery. The development of MolTarPred offers a valuable tool for researchers, helping to accelerate the development of new drugs and therapies. By providing a more efficient and reliable approach to target prediction, MolTarPred can contribute to a healthier future for all. The desert of drug discovery is vast and challenging, but with continued innovation, we can find new pathways toward better health and well-being for all.
Date :
  1. Date Completed 2020-08-24
  2. Date Revised 2020-08-24
Further Info :

Pubmed ID

30916462

DOI: Digital Object Identifier

10.1111/cbdd.13516

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Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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