“At Exscientia, our mission is to encode and automate drug discovery. We believe that within this decade the design of all new drug candidates will be augmented with AI. I am delighted to showcase at SLAS Europe how our recent technology advances enable and drive our projects,” said Dr Garry Pairaudeau, Chief Technology Officer at Exscientia. Integrating laboratory automation of synthesis and screening with its AI-driven computational design platform is the logical next step for the company. “This will facilitate the next transformation in speed and productivity, as we aim to bring better medicines to patients faster. We’re looking forward to opening our purpose-built automation studio in Oxfordshire, U.K., later in 2023.”
The company’s presentation at SLAS will demonstrate how far along Exscientia is in automating the drug discovery processes. “We believe automation has the potential to radically improve the timely creation of high-quality drug candidates, so that future patients may benefit from innovative science faster,” Pairaudeau stated.
Closing Keynote Presentation
Title: The future of AI-enabled drug discovery
Room/Location: Plenary Theater
Date/Time: Thursday, May 25 / 16:30 – 17:30 PM CET
This presentation will highlight Exscientia’s distinct approach to molecular design, using an end-to-end patient centric, AI-enabled platform, which has led the way in the precision design of AI-generated molecules resulting in the first AI-designed compounds to enter clinical trials. To reach Exscientia's goal of fully encoding and automating drug discovery, the company is assembling an automated physical laboratory alongside its suite of sophisticated computational design tools, methods and scalable engineering platform. This presentation will highlight Exscientia's current progress in the automation field and the critical steps needed in the implementation of automated, digital laboratories.
Abstracts Accepted for Presentation:
Oral Presentation Title: Computer-aided biology: DoE solutions
Track: Frontiers in Technology
Room/Location: 231
Date/Time: Thursday, May 25 / 15:30 – 16:00 PM CET
Exscientia is building an automated ecosystem of chemistry, biology and compound management, including developing a pipeline of fully automated biochemical assays from assay development onwards. This presentation highlights how CAB has been leveraged to achieve this pipeline, combining DoE (a statistical methodology) with automation to rapidly determine optimum conditions to run assays efficiently through analysis of multi-factorial experimental results. Utilising CAB also allows Exscientia to increase capacity and efficiency across FTEs, time and reagents required to run assays, increase assay robustness and investigate areas of biology not normally studied.
Poster Title: Improving assay optimisation and pharmacological sensitivity of a nuclease by employing a computer-aided biology approach
Session/Track: Session A; Frontiers in Technology
Abstract Number: 1034-A
Date/Time: Wednesday, May 24 / 13:30 – 14:30 PM
Exscientia researchers demonstrated the practical use of CAB to simultaneously improve an assay’s performance and reduce the reagent requirement, cost and labour for assay development. This presentation highlights the application of CAB to optimise the buffer of a nuclease assay, resulting in a 15-fold enhanced assay signal in low salt buffer conditions, alongside over a three-fold decrease in protein requirement and reduced assay development cycle times. The low salt requirement is a previously unforeseen result from CAB use which would have not been predicted from the literature. This highlights the potential for technology to improve assay performance in ways a human alone would not have been able to predict.
About Exscientia
Exscientia is an AI-driven precision medicine company committed to discovering, designing and developing the best possible drugs in the fastest and most effective manner. Exscientia developed the first-ever functional precision oncology platform to successfully guide treatment selection and improve patient outcomes in a prospective interventional clinical study, as well as to progress AI-designed small molecules into the clinical setting. Our internal pipeline is focused on leveraging our precision medicine platform in oncology, while our partnered pipeline broadens our approach to other therapeutic areas. By pioneering a new approach to medicine creation, we believe the best ideas of science can rapidly become the best medicines for patients.
Visit us at https://www.exscientia.ai or follow us on Twitter @exscientiaAI.
Exscientia Forward-Looking Statements
This press release contains forward-looking statements as that term is defined in the Private Securities Litigation Reform Act of 1995, including with respect to Exscientia’s plans to present at SLAS, the progress and development of Exscientia’s technologies, and any potential benefits that may be derived from such technologies. Any statement describing Exscientia’s goals, plans, expectations, intentions or beliefs is a forward-looking statement and should be considered an at-risk statement. Such statements are subject to a number of risks, uncertainties and assumptions, including those related to: scientific, regulatory and technological developments; the process of developing novel technologies and the costs related thereto; and other factors. In light of these risks and uncertainties, and other risks and uncertainties that are described in the Risk Factors section and other sections of Exscientia’s Annual Report on Form 20-F, filed with the Securities and Exchange Commission (SEC) on March 23, 2022 (File No. 001-40850), and other filings that Exscientia makes with the SEC from time to time (which are available at https://www.sec.gov/), the events and circumstances discussed in such forward-looking statements may not occur, and Exscientia’s actual results could differ materially and adversely from those anticipated or implied thereby. Although Exscientia’s forward-looking statements reflect the good faith judgement of its management, these statements are based only on facts and factors currently known by the Company at the time of this press release. As a result, you are cautioned not to rely on these forward-looking statements.