Abstract

BackgroundThe progress in computer-aided drug design (CADD) approaches over the past decades accelerated the early-stage pharmaceutical research. Many powerful standalone tools for CADD have been developed in academia. As programs are developed by various research groups, a consistent user-friendly online graphical working environment, combining computational techniques such as pharmacophore mapping, similarity calculation, scoring, and target identification is needed.ResultsWe presented a versatile, user-friendly, and efficient online tool for computer-aided drug design based on pharmacophore and 3D molecular similarity searching. The web interface enables binding sites detection, virtual screening hits identification, and drug targets prediction in an interactive manner through a seamless interface to all adapted packages (e.g., Cavity, PocketV.2, PharmMapper, SHAFTS). Several commercially available compound databases for hit identification and a well-annotated pharmacophore database for drug targets prediction were integrated in iDrug as well. The web interface provides tools for real-time molecular building/editing, converting, displaying, and analyzing. All the customized configurations of the functional modules can be accessed through featured session files provided, which can be saved to the local disk and uploaded to resume or update the history work.ConclusionsiDrug is easy to use, and provides a novel, fast and reliable tool for conducting drug design experiments. By using iDrug, various molecular design processing tasks can be submitted and visualized simply in one browser without installing locally any standalone modeling softwares. iDrug is accessible free of charge at http://lilab.ecust.edu.cn/idrug.

Highlights

  • The progress in computer-aided drug design (CADD) approaches over the past decades accelerated the early-stage pharmaceutical research

  • The results suggests that SHAFTS is an efficient and powerful tool in scaffold hopping and hit identification endeavors

  • enrichment factors (EF) after x% of the library screened were calculated according to the following formula (Hitssampled = number of hits found at x% of the database screened, Nsampled = number of compounds screened of x% of the database, Ntotal = the number of compounds in the entire database, Hitstotal = the number of actives in the entire database)

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Summary

Introduction

The progress in computer-aided drug design (CADD) approaches over the past decades accelerated the early-stage pharmaceutical research. As programs are developed by various research groups, a consistent user-friendly online graphical working environment, combining computational techniques such as pharmacophore mapping, similarity calculation, scoring, and target identification is needed. Computer-aided drug design (CADD) is a widely used term that represents computational tools and sources for the storage, management, analysis and modeling of compounds [1]. A huge body of CADD software has been developed over the years in many different research groups [3,4,5,6,7,8,9,10,11]. Individual program usually requires a specific input structure and produces a specific output format, making users incapable of combining different programs

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