BUSINESS INSIGHTS

Iktos and The University of Dundee, Drug Discovery Unit (DDU) Announce a Collaboration to Use AI for Drug Design and Retrosyntheis

Iktos | December 20, 2021

Iktos and The University
Iktos, a company specialized in Artificial Intelligence for new drug design, and The Drug Discovery Unit (DDU), School of Life Sciences, The University of Dundee, focused on the discovery of therapeutics for neglected diseases and the translation of novel biology through small molecule drug discovery, announced entering a collaboration to apply Iktos’s generative modelling artificial intelligence (AI) technology in one of DDU’s drug discovery programs. Under the agreement, Iktos will apply its de novo ligand and structure-based generative modelling technologies, its AI-based retrosynthesis analysis and planning tool Spaya™, and know-how complementing DDU’s drug discovery capabilities to expedite the identification of potential pre-clinical candidates and to identify additional novel chemical matter with suitable properties.

The DDU was established in 2006 to respond to a lack of drug targets identified for neglected tropical diseases being translated into therapeutics for diseases impacting the poorest people in the world. The DDU translates basic science into lead compounds to validate putative drug targets, to use as tools to investigate disease pathways and, when appropriate, advance to pre-clinical drug candidates for multiple diseases, e.g. TB and cancer.

Iktos’s AI technology, based on deep generative models, helps to bring new insights and directions into the drug discovery process based on a comprehensive data-driven chemical structure generation technology. This technology automatically designs virtual novel molecules with all of the characteristics of a successful drug molecule. This approach, validated through Iktos’s other collaborations, is a novel solution to one of the key challenges in drug design: rapid identification of molecules that simultaneously satisfy multiple parameters, such as potency, selectivity, safety, and project-specific properties. This approach uniquely enables the exploration of chemical space and produces innovative molecule designs with greater freedom to operate.

Iktos has recently diversified its R&D efforts into the development of an AI technology for retrosynthesis. Identifying and selecting synthetic pathways is one of the most challenging and time-consuming tasks in synthetic and medicinal chemistry. Iktos has developed AI based retrosynthesis analysis and planning tool Spaya™ by harnessing the power of data-driven retrosynthesis algorithm for systematic exploration and prioritisation of synthetic routes for a desired compound in minutes.

 “We are thrilled to be working with Iktos to drive our projects towards drug candidates. Iktos AI platform combined with our own in-house computational and medicinal chemistry design teams provide a powerful combination for innovative new drug design.”

Professor Paul Wyatt, Head of the DDU 

“We are thrilled and proud to join forces with DDU with the aim to help in the discovery of therapeutics for neglected diseases and the translation of novel biology through small molecule drug discovery,” commented Yann Gaston-Mathé, President and CEO of Iktos. “Pleased to have earned DDU’s trust, we are confident that together with DDU and their established R&D partners, we will be able to identify promising novel chemical matter and solve complex multiparametric optimisation problems. The feedback from DDU’s research team will be highly valuable as we improve our product offerings. Our strategy has always been to tackle challenging problems alongside our collaborators where we can demonstrate value generation for new and on-going drug discovery projects.”

About DDU
The Drug Discovery Unit (DDU) (est. 2006) within the School of Life Sciences at The University of Dundee is a fully integrated, Biotech-style, drug discovery centre working across multiple disease areas. The DDU collaborates with partners to translate world-class biology research into novel drug targets and candidate drugs to address unmet medical need.

About Iktos
Incorporated in October 2016, Iktos is a French start-up company specialized in the development of artificial intelligence solutions applied to chemical research, more specifically medicinal chemistry and new drug design. Iktos is developing a proprietary and innovative solution based on deep learning generative models, which enables, using existing data, to design molecules that are optimized in silico to meet all the success criteria of a small molecule discovery project. The use of Iktos technology enables major productivity gains in upstream pharmaceutical R&D. Iktos offers its technology both as professional services and as a SaaS software platform, Makya™. Iktos is also developing Spaya™, a synthesis planning software based upon Iktos’s proprietary AI technology for retrosynthesis.


Spotlight

The process of drug development is lengthy and complex combined with several processes, applications and approvals. Unquantified and unstructured data is produced from multiple systems in various forms. However, recent advances in storage, network and computing technologies have enabled pharma companies to economically and efficiently harness this Big Data and turn it into a potent source of business strength.


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BUSINESS INSIGHTS

Daewoong Pharmaceutical and HanAll Biopharma Invest in Turn Biotechnologies to Expand Growth Initiative

Daewoong Pharmaceutical and HanAll Biopharma | April 12, 2022

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PHARMACY MARKET

The McQuade Center for Strategic Research and Development and Mindset Pharma Collaborate to Develop Psychedelic Medicines

McQuade | January 06, 2022

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BUSINESS INSIGHTS

Titan Pharmaceuticals Announces Pricing of $5.5 Million Registered Direct and PIPE Offering Priced At-The-Market

Titan Pharmaceuticals, Inc. | February 03, 2022

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BUSINESS INSIGHTS

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Omnicell, Inc. | December 30, 2021

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Spotlight

The process of drug development is lengthy and complex combined with several processes, applications and approvals. Unquantified and unstructured data is produced from multiple systems in various forms. However, recent advances in storage, network and computing technologies have enabled pharma companies to economically and efficiently harness this Big Data and turn it into a potent source of business strength.

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