https://doi.org/10.7490/f1000research.1110340.1
Slides
NOT PEER REVIEWED
Download
metrics
VIEWS
212
 
downloads
256
CITE
How to cite these slides:
Ekins S and Clark AM. Development and sharing of ADME/Tox and drug discovery machine learning model [version 1; not peer reviewed]. F1000Research 2015, 4:595 (slides) (https://doi.org/10.7490/f1000research.1110340.1)
NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

Development and sharing of ADME/Tox and drug discovery machine learning model

Sean Ekins1, Alex M. Clark
Author Affiliations
  • Metrics
  • 212 Views
  • 256 Downloads
 
Part of the collection
Browse by related subjects
Published 20 Aug 2015

Development and sharing of ADME/Tox and drug discovery machine learning model

[version 1; not peer reviewed]

Sean Ekins1, Alex M. Clark
Author Affiliations
1 CDD, Inc, USA
Presented at
250th American Chemical Society National Meeting & Exposition
Abstract
Competing Interests

Consultant for CDD

Keywords
ADME/Tox, machine learning
Comments
0 Comments
 
Sign In
If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password.

The email address should be the one you originally registered with F1000.

Email address not valid, please try again

You registered with F1000 via Google, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Google account password, please click here.

You registered with F1000 via Facebook, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Facebook account password, please click here.

Code not correct, please try again
Email us for further assistance.
Server error, please try again.