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Cibus and Biographica Announce Collaboration Using Artificial Intelligence (AI) to Advance Disease Resistance in Canola and Oilseed Rape

Cibus and Biographica Announce Collaboration Using Artificial Intelligence (AI) to Advance Disease Resistance in Canola and Oilseed Rape

Cibus與Biographica宣佈合作,利用人工智能(AI)推動油菜和油料作物的支撐位。
GlobeNewswire ·  11/19 20:30

Cibus and Biographica to collaborate on identifying gene editing targets for Cibus' disease resistance trait development

Cibus和Biographica合作,共同確定Cibus的疾病抗性特徵發展的基因編輯目標

Biographica's proprietary AI platform linked with Cibus' crop editing abilities provide opportunities for discovery and commercial application

Biographica的專有人工智能平台與Cibus的作物編輯能力相結合,爲發現和商業應用提供機會

SAN DIEGO and LONDON, Nov. 19, 2024 (GLOBE NEWSWIRE) -- Cibus, Inc. (Nasdaq: CBUS), a leading agricultural technology company that develops and licenses plant traits to seed companies for royalties, and Biographica, a UK-based leader in AI and graph machine learning for gene discovery, are pleased to announce a collaborative pilot project focused on advancing disease resistance in oilseed rape and Canola.

聖地亞哥和倫敦,2024年11月19日(環球新聞)—— Cibus, Inc.(納斯達克:CBUS),一家領先的農業科技公司,爲種子公司開發和許可植物特性以獲取版權費用,以及一家總部位於英國的人工智能和圖形機器學習的基因發現領導者Biographica,欣然宣佈一項合作試點項目,專注於推送油菜和油菜籽的抗病能力。

This partnership leverages Biographica's proprietary platform to identify and prioritize targets for gene editing, aiming to develop resistance against critical diseases impacting crop health, yield and quality.

該合作伙伴關係利用Biographica的專有平台來確定和優先考慮基因編輯的目標,旨在開發抵抗影響作物健康、產量和質量的關鍵疾病

Under this agreement, Biographica will utilize its cutting-edge AI and machine learning technology to analyze gene targets associated with disease resistance in oilseed rape and Canola and set the stage for future crop improvement strategies.

根據本協議,Biographica將利用其尖端人工智能和機器學習技術分析與油菜籽和油菜的抗病基因靶點,併爲未來作物改良策略打下基礎。

"This collaboration marks a significant milestone in unlocking the potential of advanced machine learning for agricultural innovation," said Cecy Price, CEO at Biographica. "Combining Biographica's unique machine learning trait discovery platform with Cibus' expertise in crop trait development allows us to unlock new insights into disease resistance, paving the way for more resilient crops and sustainable agricultural practices."

「這一合作標誌着在農業創新中釋放先進機器學習潛力邁出重要一步,」Biographica首席執行官Cecy Price表示。「將Biographica獨特的機器學習特性發現平台與Cibus在作物特性開發方面的專業知識相結合,使我們能夠揭示有關抗病的新見解,爲更具彈性的作物和可持續農業實踐鋪平道路。」

Tony Moran, Senior Vice President for International Development at Cibus, added, "We are excited to work alongside Biographica to identify impactful gene targets, enabling the development of crop varieties that can withstand disease pressure in the field with benefits for farmers, the environment, and food security."

Cibus國際發展高級副總裁Tony Moran補充道:「我們很高興能與Biographica合作,共同確定具有影響力的基因靶點,幫助開發能夠耐受田間病害壓力的作物品種,從而使農民、環境和食品安全受益。」

Dr. Greg Gocal, Executive Vice President and Chief Scientific Officer, added, "We have made plant disease resistance an important pillar of our work. This is a critically important need in farming. Developing durable disease resistance in plants will require identifying multiple modes of action. This partnership with Biographica is an important extension of our work in building our inventory of gene targets associated with developing different modes of action for this important trait."

首席科學官Greg Gocal博士補充道:「我們已將植物抗病性視爲工作的重要支柱。這在養殖業中是一個至關重要的需求。開發植物的耐性抗病性將需要確定多種作用方式。與Biographica的合作是我們工作的重要延伸,有助於建立與開發此重要特性的多種作用方式相關的基因靶點清單。」

The collaboration reflects a commitment by both companies to push the boundaries of crop science and contribute to sustainable agriculture. This pilot project has the potential to accelerate the delivery of improved crop varieties with advanced disease resistant traits to farmers worldwide.

雙方公司的合作反映了它們都致力於拓展作物科學的邊界,併爲可持續農業做出貢獻。這個試點項目有潛力加速向全球農民交付具有先進抗病特性的改良作物品種。

About Biographica
Biographica, Ltd. is a UK-based company specializing in advanced machine learning algorithms for target discovery. Their proprietary Biographica Platform enables researchers to identify and prioritize gene targets effectively, supporting breakthroughs in gene editing and other advanced biological applications.

關於Biographica
Biographica有限公司是一家總部位於英國的公司,專門從事用於目標發現的先進機器學習算法。他們的專有Biographica平台使研究人員能夠有效地識別和優先考慮基因靶點,支持基因編輯和其他先進生物應用的突破。

About Cibus
Cibus is a leading independent plant trait company that develops and licenses plant traits to seed companies for royalties. Cibus is not a seed company, but rather a technology company that uses its proprietary gene editing technology to develop and commercialize plant traits at a fraction of the time and cost of conventional breeding. Cibus' strategy is focused on commercializing productivity traits for the world's major row crops with large acreage such as: canola, rice, and soybean. The Company targets traits that help manage farmers' seed productivity, economics and sustainability challenges such as weeds, disease, and insects. The United Nations estimates that the impacts from these challenges cost the global economy approximately $300 billion annually. Cibus has a current portfolio of six traits, three of which are in commercial development and four of which are multi-crop traits associated with weed management and disease, including Sclerotinia resistance and a new weed management trait which are in advanced greenhouse and field trial stages.

關於Cibus
Cibus是一家領先的獨立植物性狀公司,爲種子公司開發和許可植物性狀以獲取版稅。Cibus不是一家種子公司,而是一家利用其專有基因編輯技術開發和商業化植物性狀的科技公司,其所需時間和成本僅爲傳統育種的一小部分。Cibus的策略重點是商業化世界主要大面積作物(如:油菜、稻米和大豆)的生產性性狀。該公司針對有助於解決農民種子生產力、經濟和可持續性挑戰的性狀制定目標,如雜草、疾病和昆蟲。聯合國估計,全球經濟每年因這些挑戰造成的影響約爲3000億美元。Cibus目前擁有六個性狀的組合投資組合,其中三個正處於商業開發階段,另外四個是與雜草管理和疾病相關的多作物性狀,包括硬膜病抗性和一種新的雜草管理性狀,這些均處於先進的溫室和田間試驗階段。

CIBUS CONTACTS:

CIBUS聯繫方式:

INVESTOR RELATIONS
Karen Troeber
ktroeber@cibus.com
858-450-2636

投資者關係
Karen Troeber
ktroeber@cibus.com
858-450-2636

Jeff Sonnek – ICR
jeff.sonnek@icrinc.com

Jeff Sonnek - ICR
jeff.sonnek@icrinc.com

MEDIA RELATIONS
media@cibus.com

媒體關係
media@cibus.com

Colin Sanford
colin@bioscribe.com
203-918-4347

Colin Sanford
colin@bioscribe.com
203-918-4347


譯文內容由第三人軟體翻譯。


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