Register for the 2nd Proteomic Based Drug Discovery Summit 2026
Please select the appropriate price when booking. Bookings are subject to approval.
All prices are shown in USD.
Register by Friday, October, 31 & Save up to $900
Drug Developer Pricing*
Conference + 2 Workshops
(Save $900)
$3,297
On the Door: $4,197
Conference + 1 Workshop
(Save $700)
$2,898
On the Door: $3,598
Conference Only
(Save $500)
$2,499
On the Door: $2,999
Academic Pricing**
Conference + 2 Workshops
(Save $900)
$2,697
On the Door: $3,597
Conference + 1 Workshop
(Save $700)
$2,398
On the Door: $3,098
Conference Only
(Save $500)
$2,099
On the Door: $2,599
Service Provider Pricing***
Conference + 2 Workshops
(Save $900)
$4,297
On the Door: $5,197
Conference + 1 Workshop
(Save $700)
$3,798
On the Door: $4,498
Conference Only
(Save $500)
$3,299
On the Door: $3,799
* To be eligible for this price, the group or individuals must be from a biotech or pharma company that has a publicly available pipeline, and does not offer pay for services.
** To be eligible for this price, the group or individual must be full-time academic(s).
*** If you are a solution or service provider, have you considered sponsoring this event? Sponsorship includes multiple passes at a discounted rate. Inquire to learn more.
Unlock Group Discounts
Maximize value for money using special team discounts: Please note that discounts are only valid when three or more delegates from one company book and pay at the same time.
10% Off
When registering 2Â attendees from one company
15% Off
When registering 3 attendees from one company
20% Off
When registering 4+ attendees from one company
Need Assistance?
If you have any questions about registration pricing, discounts or would like help in the booking process, contact us and one of the team will get back to you.
Explore the Full Event Guide
- Hear from 100% brand new speakers
- Explore case studies on mass spectrometry, chemoproteomics, single-cell and spatial proteomics platforms
- Uncover drug discovery applications across bispecifics, covalent small molecules, TPD, and more
- Review real-live examples on balancing throughput, coverage, and sensitivity of proteomic workflows
- Outline strategies for optimizing large-scale proteomics data analysis methodologies
