PR94465

LONDON and HYDERABAD, India, Feb. 9, 2022 /PRNewswire=KYODO JBN/ --

    A new collaboration between data science and analytics leader, Excelra, and

artificial intelligence pioneer X-Chem will accelerate preclinical drug

discovery and aid scientists to find new drug candidates for currently

hard-to-drug targets.

    Machine learning and artificial intelligence are reshaping discovery and

optimization of drug candidates. This synergistic new partnership between

Excelra's GOSTAR and X-Chem's RosalindAI will enable unique and powerful tools

to predict small molecules, chemical, biological, and physical properties,

accelerating time and resource-intensive stages of drug discovery from hit

identification to preclinical candidate selection.

    "This is a perfect match between two of the best solutions for some hard

challenges in drug discovery," said Norman Azoulay, Director, Scientific

Products. "We're convinced this partnership will immediately help drug

developers fuel their pipelines better."

    GOSTAR's proprietary data set underwent rigorous analysis and large-scale

ML model building to predict drug solubility in a recent joint study

(https://www.gostardb.com/download-ai-ml-for-drug-discovery-whitepaper/).

X-Chem's RosalindAI delivered superior and actionable results than other

similar analyses using well-known publically available datasets. The results

confirmed that RosalindAI's proprietary models are designed specifically to

address challenges in chemical datasets, and when trained on the larger, more

diverse GOSTAR data, yielded models twice as better than models trained on

other datasets.

    X-Chem SVP Noor Shaker says: "AI is revolutionizing drug discovery in ways

never thought possible before, and RosalindAI is leading the way with AI tools

that are accurate, scalable, and robust, enabling a transformation in

preclinical drug discovery. Our collaboration with Excelra will enable us to

leverage GOSTAR data and enable AI in ways never possible before."

    GOSTAR provides a unique 360 degree view of over 8 million small molecules.

The content in GOSTAR is meticulously curated with a proprietary QMS-ISO

certified process. It captures the most up-to-date view of the chemical space

with information on chemical structures and their biological properties,

including binding, in-vitro, in-vivo, ADME, Tox, and physicochemical properties.

    X-Chem's RosalindAI is a leading AI platform for preclinical drug

discovery. It provides a seamless interface to build best-in-class AI models

for chemical design and optimization. It has also been successfully applied to

the design of a novel chemotype for challenging targets and for the accurate

prediction of chemical activities and properties.

    About Excelra and GOSTAR

    Excelra's data and analytics solutions empower innovation in life sciences

from molecule to market. The Excelra Edge comes from harmonizing heterogeneous

data sets, applying innovative bioinformatics know-how & technologies to

accelerate drug discovery and development with reliable and result-oriented

insights. Excelra's GOSTAR is an application available for users to seek, find,

and discover compounds. In addition, it is offered via APIs and as a

downloadable dataset to power in-house libraries and machine learning models.

    For more information about GOSTAR, visit https://www.gostardb.com/

    About X-Chem  

    X-Chem is a leader in small molecule drug discovery services for

pharmaceutical and biotech companies. As pioneers of DNA-encoded chemical

library (DEL) technology, the company leverages its market-leading DEL platform

to discover novel small molecule leads against challenging, high-value

therapeutic targets. With industry-leading expertise in medicinal chemistry,

custom synthesis and scale-up process chemistry and a proprietary AI platform

to support and accelerate all aspects of drug discovery, X-Chem empowers its

partners to effectively build drug pipelines from target to clinical candidate.

For further information, please visit https://www.x-chemrx.com/

    For media inquiries, contact:

    Jigesh Shah

    Jigesh.shah@excelra.com

    Noor Shaker

    noor@glamorous.ai  

    Logo: https://mma.prnewswire.com/media/692189/Excelra_Logo.jpg  

    Source: Excelra Knowledge Solutions Pvt Ltd