• Supreme Antibody from AI-Powered Discovery Platform

XupremAb™ is XtalPi's antibody discovery platform that combines the best of wet-lab techniques and cutting-edge AI technology

  • Combine the best of AI and wet lab

    AI is a powerful technology, and its impact is maximized when combined with wet lab. We have built a fully-functional antibody lab with a cross-disciplinary team of AI scientists and experimental biologists. This synergy creates new opportunities that cannot be achieved through wet lab or dry lab techniques alone.

  • Tap into greater search space for more quality hits

    To lay a solid foundation for any discovery campaign, it's essential to have as many diverse, high-quality hits as possible at the start. We use AI to enhance existing experimental techniques or let AI take the lead to expand our search space for hits.

  • Utilize AI to make antibody engineering more efficient, enabling multi-objective optimization

    We want to reduce the guesswork and random mutagenesis in antibody engineering. AI helps us explore a larger mutant space and account for multiple properties when selecting candidates.

  • Instill excellent developability into every molecule

    Developability is an essential property that we try to capture in the discovery phase. A combination of in vitro and in silico methods allows us to assess developability at ultra high-throughput and reasonable cost.

XupremAb™ is our one-stop solution for antibody discovery that incorporates AI throughout the whole process. The platform can be accessed as a whole, where we can take a partner's project all the way from target to preclinical candidates, or it can be accessed as individual sub-platforms.

Sub-platforms
  • Antibody Generation

    • XtraDoma™

      Access Extra Leads on Our Upgraded Hybridoma Platform

    • Ultra High-throughput, Rapid Screening of Immune Repertoire Powered by NGS & AI

    • XpeedPlay™

      Ultra High-speed Hit Generation Through Phage Display, Featuring AI-Powered Precision Library

    • XuperNovo™

      Next-gen Superstar Molecule, Created de novo

    • Next-generation Humanized Mouse Platform

  • Antibody Engineering

  • Antibody Developability

Case Studies

  • Tap into greater search space for more quality hits
    Case 1: In silico screening of millions of antibody sequences in the immune repertoire

    XploreSeq™ routinely sequences millions of BCRs and identifies hits with high confidence (left).

    In this project, XploreSeq™ predicted 717 binders, from which 48 were randomly chosen for expression and testing. 66.7% (32/48) were confirmed to be binders, and only 18.6% (6/32) binders overlap with hybridoma hits (right).

  • Utilize AI to make antibody engineering more efficient, enabling multi-objective optimization
    Case 2: Bi-directional affinity tuning of a lead antibody
    • Goal: tuning the affinity of a lead antibody both upwards and downwards to provide more options for bispecifics development.

    • Our AI model generated 3 buckets of designed mutants with predicted affinities of:

                1) significant increase (target: 10x),

                2) mild increase (target: 3x) and

                3) mild decrease (target: -3x) vs. WT

    • When expressed and tested, these mutants show affinities that correspond to their targeted ranges. (Shown on the left)

    • 1 round of design-make-test of 96 mutants to arrive at a panel of highly optimized leads with KD that span 3 orders of magnitude and optimal developability profiles.


  • Instill excellent developability into every molecule
    Case 3: XcelDevTM Silico evaluates and ranks 30+ candidates in terms of developability

    36 hits that had passed binding and functional screening were analyzed by XcelDevTM Silico. 6 properties of each antibody was predicted and scored on a scale of 0-1 (displayed in color gradient).

    An overall developability score was calculated to rank all 36 hits. To verify the effectiveness of the ranking, the top 7 (in the red box) were expressed and subject to a battery of in vitro developability assays. All 7 performed well in these assays, their Tm, SEC, AC-SINS and HIC results shown below.

    • XcelDev Silico results for 36 antibodies

      Wet lab results for top 7 candidates

AI Enables Exploration of Antibody Space at Unprecedented Scale
Presented @ PEGS Boston 2023

XtalPi is keenly aware that every research partner has unique needs and priorities, and is happy to create a customized solution to optimize your research program


Name
Phone Number
E-mail
Country/Territory
Beijing
Tianjin
Shanghai
Chongqing
Hebei
Shanxi
Liaoning
Jilin
Heilongjiang
Jiangsu
Zhejiang
Anhui
Fujian
Jiangxi
Shandong
Henan
Hubei
Hunan
Guangdong
Hainan
Sichuan
Guizhou
Yunnan
Shaanxi
Gansu
Qinghai
Taiwan
Inner Mongolia
Guangxi
Tibet
Ningxia
Shaanxi
Hong Kong
Macao
Industry
Drug Discovery
Basic Scientific Research
CRO
Investment and Financing
Other
Interested Area
Small molecule drug
discovery
Biologics drug discovery
Drug solid state research
and development
Chemical synthesis services
Automation
Live tour of our
Boston innovation lab
Other
Your company
To whom would you like to get in touch?
Technical Personnel
Business Personnel
Other
Verification code

I have read and agree to XtalPi's Privacy Policy