Lhasa Limited shared knowledge shared progress

Setaria Features and Benefits

Setaria has various features and benefits. To find out more about how Setaria can help you, please get in touch.

Setaria icons 01 55px

Facilitates ICH M7 Compliance

By bringing together predictions from Derek and Sarah Nexus, toxicity data from Vitic and in-house sources, and expert commentary, Setaria centralises all the knowledge and data that is necessary to generate an ICH M7 classification for impurities. 

Setaria icons 02 55px

Reduces Duplication of Effort

Setaria enhances the visibility of (Q)SAR predictions and expert conclusions across an organisation, ensuring that repeat assessments of the same compounds can be avoided.

Setaria icons 03 55px

Rapid Data Retrieval 

Quickly access data and export relevant information in a format suitable for regulatory submission.  Setaria is designed to deliver fast and efficient access to data and knowledge, enabling quick decision making. All compounds present in Setaria are searchable by structure, CAS number, or name and results can be refined by study result, (Q)SAR prediction, or assigned ICH M7 class.

Setaria icons 04 55px

Supports Lower Risk Drug Development 

Knowledge and data from previous development projects can be leveraged by medicinal chemists to support drug design through understanding the risk associated with specific areas of chemical space. 

Setaria icons 05 55px

Enhances Risk Management Across Discovery Programs 

Individual compounds can be associated with one or more ‘Discovery Programs’, allowing risk management plans to be developed prior to further testing.

Setaria icons 06 55px

Archive of Historical Assessments 

Setaria supports informed decision making by providing an audit trail for historical (Q)SAR assessments, enabling users to track and understand former assessments.

Setaria icons 07 55px

Personalised Schema

Through the provision of intuitive editing tools, Setaria can be moulded to fit the different needs of individual organisations, allowing the user to populate their own customised schema. This ensures that search options and compound identifiers, are consistent with in-house naming conventions, facilitating company-wide understanding and ease of use.

Setaria icons 08 55px

Assessing In Silico Performance

The integration of (Q)SAR predictions and experimental data allow for the rapid validation of in silico performance, for in-house chemical space.

© 2019 Lhasa Limited | Registered office: Granary Wharf House, 2 Canal Wharf, Leeds, LS11 5PS, UK Tel: +44 (0)113 394 6020
VAT number 396 8737 77 | Lhasa Limited is registered as a charity (290866)| Company Registration Number 01765239 (England and Wales).

Thanks to QuestionPro's generosity, we now have survey software that powers our data intelligence.