Main logo
tutorial arrow
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.



Provides comprehensive manually curated data for diverse chemicals associated with known Absorption, Distribution, Metabolism, Excretion and Toxicity (ADMET) profiles. admetSAR created a user-friendly interface to search for ADMET properties profiling by name, CASRN and similarity search. In addition, admetSAR can predict about 50 ADMET endpoints by a development chemoinformatics-based toolbox, entitled ADMET-Simulator which integrates high quality and predictive QSAR models. admetSAR will be helpful for in silico screening ADMET profiles of drug candidates and environmental chemicals.

User report

tutorial arrow
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community
Sort by:

3 user reviews

3 user reviews

Anggia Ramadhani's avatar image Anggia Ramadhani's country flag

Anggia Ramadhani

Why i cant access the server ?

y z's avatar image y z's country flag

y z

The server is running.
Here is the link to the server:

afzal hussain's avatar image afzal hussain's country flag

afzal hussain

Sir, server is not working, please do needful

admetSAR forum

tutorial arrow
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

admetSAR classification

admetSAR specifications

Restrictions to use:
Community driven:
User data submission:
Not allowed
Database management system:
Data access:
File download, Browse

admetSAR support


  • Yun Tang <>


tutorial arrow
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship



Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, China

Funding source(s)

This work was supported by the 863 Project (Grant 2012AA020308), the National Natural Science Foundation of China (Grant 21072059), the Fundamental Research Funds for the Central Universities (Grant WY1113007, WY1014010), the National S&T Major Project of China (Grant 2011ZX09307-002-03), and the Shanghai Committee of Science and Technology (Grant 11DZ2260600).

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.