Evogene Announces Collaboration with Google Cloud to Pioneer Generative AI Foundation Model for Novel Small Molecule Design
Evogene (NASDAQ: EVGN) announced a collaboration with Google Cloud to develop a generative AI foundation model for small molecule design. The initiative will enhance Evogene's ChemPass AI tech-engine, leveraging Google Cloud's Vertex AI, GPUs, and Storage capabilities. The foundation model will be trained on ~40 billion molecular structures to accelerate the discovery of novel products in pharmaceuticals, agriculture, and other life-science industries.
The collaboration aims to expedite drug discovery, reduce costs, and increase success rates in identifying promising candidates. The technology will also support sustainable crop protection and food security solutions.
Evogene (NASDAQ: EVGN) ha annunciato una collaborazione con Google Cloud per sviluppare un modello di intelligenza artificiale generativa per la progettazione di piccole molecole. Questa iniziativa migliorerà la tecnologia ChemPass AI di Evogene, sfruttando le capacità di Vertex AI, GPU e Storage di Google Cloud. Il modello fondamentale sarà addestrato su circa 40 miliardi di strutture molecolari per accelerare la scoperta di nuovi prodotti nei settori farmaceutico, agricolo e in altre industrie delle scienze della vita.
La collaborazione punta ad accelerare la scoperta di farmaci, ridurre i costi e aumentare i tassi di successo nell'identificazione di candidati promettenti. La tecnologia supporterà anche soluzioni per la protezione sostenibile delle colture e la sicurezza alimentare.
Evogene (NASDAQ: EVGN) anunció una colaboración con Google Cloud para desarrollar un modelo de inteligencia artificial generativa para el diseño de pequeñas moléculas. Esta iniciativa mejorará la tecnología ChemPass AI de Evogene, aprovechando las capacidades de Vertex AI, GPUs y almacenamiento de Google Cloud. El modelo base será entrenado en aproximadamente 40 mil millones de estructuras moleculares para acelerar el descubrimiento de nuevos productos en farmacéutica, agricultura y otras industrias de ciencias de la vida.
La colaboración tiene como objetivo acelerar el descubrimiento de fármacos, reducir costos y aumentar las tasas de éxito en la identificación de candidatos prometedores. La tecnología también apoyará soluciones de protección de cultivos sostenibles y de seguridad alimentaria.
Evogene (NASDAQ: EVGN)는 Google Cloud와 협력하여 소분자 설계를 위한 생성적 AI 기반 모델을 개발한다고 발표했습니다. 이 이니셔티브는 Google Cloud의 Vertex AI, GPU 및 스토리지 기능을 활용하여 Evogene의 ChemPass AI 기술 엔진을 향상시킬 것입니다. 이 기반 모델은 약 400억 개의 분자 구조를 학습하여 제약, 농업 및 기타 생명과학 산업에서 새로운 제품 발견을 가속화할 것입니다.
이번 협력의 목표는 약물 발견을 가속화하고 비용을 줄이며 유망한 후보 물질을 식별하는 성공률을 높이는 것입니다. 이 기술은 지속 가능한 작물 보호와 식량 안전 솔루션을 지원할 것입니다.
Evogene (NASDAQ: EVGN) a annoncé une collaboration avec Google Cloud pour développer un modèle d'IA générative pour la conception de petites molécules. Cette initiative améliorera la technologie ChemPass AI d'Evogene, en tirant parti des capacités de Vertex AI, des GPU et du stockage de Google Cloud. Le modèle fondamental sera formé sur environ 40 milliards de structures moléculaires afin d'accélérer la découverte de nouveaux produits dans les secteurs pharmaceutique, agricole et d'autres industries des sciences de la vie.
Cette collaboration vise à accélérer la découverte de médicaments, réduire les coûts et augmenter les taux de réussite dans l'identification de candidats prometteurs. La technologie soutiendra également des solutions pour la protection durable des cultures et la sécurité alimentaire.
Evogene (NASDAQ: EVGN) gab bekannt, dass es eine Zusammenarbeit mit Google Cloud eingegangen ist, um ein generatives KI-Basis-Modell für das Design kleiner Moleküle zu entwickeln. Diese Initiative wird die ChemPass AI-Technologie von Evogene verbessern, indem sie die Möglichkeiten von Google Clouds Vertex AI, GPUs und Storage nutzt. Das Basis-Modell wird an etwa 40 Milliarden molekularen Strukturen trainiert, um die Entdeckung neuer Produkte in der Pharma-, Agrar- und anderen Lebenswissenschaftsindustrien zu beschleunigen.
Die Zusammenarbeit zielt darauf ab, die Arzneimittelentdeckung zu beschleunigen, Kosten zu senken und die Erfolgsquote bei der Identifizierung vielversprechender Kandidaten zu erhöhen. Die Technologie wird auch nachhaltige Lösungen zum Schutz von Pflanzen und zur Ernährungssicherheit unterstützen.
- Partnership with major tech leader Google Cloud enhances technological capabilities
- Access to advanced cloud computing infrastructure and AI resources
- Training model on massive dataset of ~40 billion molecular structures
- Potential to reduce drug discovery costs and increase success rates
- Technology applicable across multiple industries (pharma, agriculture)
- None.
Insights
This strategic partnership marks a significant technological leap in computational drug discovery. The development of a foundation model trained on 40 billion molecular structures using Google Cloud's infrastructure represents a quantum leap in AI-driven molecular design capabilities. The integration with Vertex AI and specialized GPU resources positions this initiative at the cutting edge of generative AI applications in life sciences.
The computational power required for training such a massive dataset, combined with ChemPass AI's existing capabilities, could dramatically reduce the time and resources needed for identifying viable drug candidates. The scalability of Google Cloud's infrastructure provides a robust foundation for handling the intensive computational requirements of molecular modeling and simulation.
While the immediate technological potential is promising, successful implementation will depend on the model's ability to generate practically synthesizable molecules and accurately predict their properties. The collaboration could significantly enhance Evogene's competitive position in the computational biology space.
For a micro-cap company with a market value of just
The deal opens up multiple revenue streams through potential partnerships with pharmaceutical and agricultural companies. The ability to accelerate R&D processes while reducing costs presents a compelling value proposition that could attract major industry players. However, investors should note that commercialization timelines in both pharma and agriculture sectors are typically lengthy and near-term revenue impact may be
The collaboration has the power to foster breakthroughs in small molecule innovation for life science-based products
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Evogene will leverage Google Cloud's Vertex AI, GPUs on Google Compute Engine, and Google Cloud Storage to provide the immense computational power and storage capacity required to create this innovative AI foundation model. This foundation model is being trained on a dataset of ~40 billion molecular structures and will serve as a powerful tool for generating and evaluating new potential candidates for breakthrough life science-based products, with unprecedented speed and accuracy.
The collaboration leverages Evogene's deep expertise in computational predictive biology and Google Cloud's leadership in AI and machine learning. This joint effort follows the successful integration of ChemPass AI into Google Cloud and will now focus on expanding the tech-engine's value through the creation of a state-of-the-art foundation model capable of generating and optimizing novel small molecule structures with desired properties.
This transformative technology has the potential to greatly expedite the drug discovery process, reduce costs, and increase the success rate of identifying promising drug candidates. In the agricultural sector, the foundation model will enable the development of innovative and sustainable solutions to address global challenges such as food security, crop protection, and resource optimization.
Beyond pharmaceuticals and agriculture, the foundation model's capabilities have the potential to extend to various other industries. The ability to generate and optimize small molecules with specific properties opens a world of possibilities for creating innovative and sustainable solutions across diverse sectors.
Ofer Haviv, Evogene's President and CEO stated: "This strategic collaboration underscores Evogene's commitment to innovation and its position at the forefront of computational predictive biology, utilizing our AI tech-engines. We are proud to be collaborating with Google Cloud, a recognized leader in cloud computing, accelerating our growth trajectory and delivering significant value to our shareholders and partners."
Boaz Maoz, Managing Director, Google Cloud Israel stated: "Google Cloud is committed to providing the industry's most open cloud and helping customers accelerate their digital transformations. By harnessing the power of Google Cloud, Evogene's ChemPass AI has the potential to revolutionize small molecule design. We look forward to the breakthroughs Evogene will achieve."
The collaboration also presents an attractive opportunity for potential pharma and ag-industry partners seeking to leverage the power of ChemPass AI's generative small molecule discovery capabilities. Evogene's proven track record in computational biology, combined with Google Cloud's AI expertise, creates a compelling proposition for companies looking to accelerate their R&D efforts and gain a competitive edge.
About Evogene Ltd.
Evogene Ltd. (Nasdaq: EVGN) (TASE: EVGN) is a computational biology company leveraging big data and artificial intelligence, aiming to revolutionize the development of life-science based products by utilizing cutting-edge technologies to increase the probability of success while reducing development time and cost.
Evogene established three unique tech-engines - MicroBoost AI, ChemPass AI and GeneRator AI. Each tech-engine is focused on the discovery and development of products based on one of the following core components: microbes (MicroBoost AI), small molecules (ChemPass AI), and genetic elements (GeneRator AI).
Evogene uses its tech-engines to develop products through strategic partnerships and collaborations, and its four subsidiaries including:
- Biomica Ltd. (www.biomicamed.com) developing and advancing novel microbiome-based therapeutics to treat human disorders powered by MicroBoost AI;
- Lavie Bio Ltd. (www.lavie-bio.com) - developing and commercially advancing, microbiome based ag-biologicals powered by MicroBoost AI;
- AgPlenus Ltd. (www.agplenus.com) -developing next generation ag chemicals for effective and sustainable crop protection powered by ChemPass AI; and
- Casterra Ag Ltd. (www.casterra.co)– developing and marketing superior castor seed varieties producing high yield and high-grade oil content, on an industrial scale for the biofuel and other industries powered by GeneRator AI.
For more information, please visit: www.evogene.com.
Forward-Looking Statements
This press release contains "forward-looking statements" relating to future events. These statements may be identified by words such as "may", "could", "expects", "hopes" "intends", "anticipates", "plans", "believes", "scheduled", "estimates", "demonstrates" or words of similar meaning. For example, Evogene and its subsidiaries are using forward-looking statement in this press release when it discusses the potential of the collaboration to drive forward the discovery and development of novel small molecules for drug development, sustainable crop protection, and other innovative products across various life-science industries, the foundation model's ability to generate and evaluate new potential candidates for breakthrough life science based products, with unprecedented speed and accuracy, the ability to create a state-of-the-art foundation model capable of generating and optimizing novel small molecule structures with desired properties, the technology's potential to significantly expedite the drug discovery process, reduce costs, and increase the success rate of identifying promising drug candidates, its ability to enable the development of innovative and sustainable solutions to address global challenges such as food security, crop protection, and resource optimization. Such statements are based on current expectations, estimates, projections and assumptions, describe opinions about future events, involve certain risks and uncertainties which are difficult to predict and are not guarantees of future performance. Therefore, actual future results, performance or achievements of Evogene and its subsidiaries may differ materially from what is expressed or implied by such forward-looking statements due to a variety of factors, many of which are beyond the control of Evogene and its subsidiaries, including, without limitation, the current war between
Contact:
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