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Home Facilities & Operation

AI Use To Transform Antibody Discovery & Design In Israel

Content Team by Content Team
19th March 2024
in Facilities & Operation, Featured, News

AION Labs from Israel went on to announce recently the launch of CombinAble.AI, which happens to be a startup that’s focused on enhancing antibody design so as to speed up the development when it comes to better therapeutics.

According to the CEO of AION Labs, Mati Gill, the launch of CombinAble heralds a transition in the approach towards targeted antibody design by way of leveraging AI so as to optimize as well as expedite the exploration process.

It is well to be noted that AION Labs happens to be an Israeli venture studio that operates in partnership with AstraZeneca, Pfizer, Merck, Teva, the Israel Biotech Fund, Amiti Ventures, as well as Amazon Web Services- AWS.

It happens to be supported by BioMed X as well as the Israel Innovation Authority. Its mission is to create as well as integrate innovative artificial intelligence- AI technologies in order to revolutionize drug discovery and improve global health.

CombinAble happens to be tackling drug discovery challenge along with a platform that goes on to blend the advanced AI technology as well as computational methods in order to secure biomolecule simulations, explained AION Labs. The platform goes on to automate the selection of mutations so as to improve multiple attributes of antibody candidates, speeding the discovery as well as the design of new biotherapeutics.

A significant stage within drug development

Antibody optimization happens to be a crucial stage within the drug development phase, wherein a preliminary functional antibody gets refined into a potential clinical drug by way of improving safety, efficacy, as well as the manufacturability.

Traditionally, this process happens to involve time-consuming trial-and-error methodologies in the lab, that can go on to take years and also incur high costs sans guaranteeing any success. As per a 2022 report published in Acta Pharmaceutica Sinica B, almost 90% of clinical drug development often fails.

It is well to be noted that CombinAble makes use of AI so as to learn from data as well as physics-based principles in order to make optimal use of antibody sequences, and that too in one step. Created with input from AION Labs’ pharmaceutical partners along with the publicly available data, the platform goes on to represent a major shift from trial-and-error methodology to a streamlined and computer-simulated solution so as to get more effective therapeutics.

According to co-founder and CEO of CombinAble.AI, Daria Kokh, their emphasis happens to be on combining numerous advanced machine learning models, such as molecular dynamics simulations, large protein language models, along with multi-objective optimization algorithms, therefore integrating them into one unified solution as far as the targeted antibody discovery goes. Apparently, AION Labs’ resources in addition to their expertise have been quite crucial when it comes to shaping their company, offering them material as well as logistical support in order to help refine their scientific strategy along with the expansion of the team. As they go ahead on the trajectory of progress, the knowledge along with the insights offered by their pharmaceutical partners are going to be invaluable when it comes to the development as well as commercialization of their solution.

In February 2024, AION Labs went ahead and announced the formation of TenAces Biosciences, which will go on to leverage machine learning as far as molecular glue discovery is concerned. That company also looks to enhance the success rate of the discovery of treatments for a large range of conditions.

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