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Predictive Oncology Develops Novel Stem Cell Expression System for the Production of Functional and Stable G-Protein Coupled Receptors (GPCRs)

Predictive Oncology Develops Novel Stem Cell Expression System for the Production of Functional and Stable G-Protein Coupled Receptors (GPCRs)

predictive oncology開發了新的電芯表達系統,用於生產功能穩定的G蛋白偶聯受體(GPCRs)
Predictive Oncology ·  06/11 00:00

Company files expansive intellectual property protection for "Membrane Protein Factory" to produce purified and biologically active membrane proteins for drug development

公司對“膜蛋白工廠”進行了廣泛的知識產權保護,生產純化和生物活性的膜蛋白,用於藥物開發。

External sources value annual US GPCR market at nearly $3.5 billion in 2022, growing more than 5% annually through 20301

外部資料顯示,2022年全美GPCR市場年增長5%以上,價值近35億美元,並將持續增長至2030年。1

PITTSBURGH, June 11, 2024 (GLOBE NEWSWIRE) -- Predictive Oncology Inc. (NASDAQ: POAI), a leader in AI-driven drug discovery and biologics, today announced the introduction of a new technology designed to express functional and stable G-Protein Coupled Receptors (GPCRs).

2024年6月11日,醫療技術公司Predictive Oncology Inc. (NASDAQ: POAI)宣佈推出一種新技術,旨在表達功能穩定的G蛋白偶聯受體(GPCRs),該公司是人工智能驅動的藥物研發和生物製品領域的領導者。

GPCRs are cell surface membrane receptors that are believed to play a key role in tumorigenesis, with prior studies demonstrating involvement in cancer initiation, progression, and metastasis. It is estimated that drugs targeting GPCRs represent more than 30% of the global market for therapeutic drugs, yet the number of characterized GPCR targets represent just a small fraction of the GPCR superfamily, suggesting significant potential to further target GPCRs for future drug discovery and development2,3.

GPCRs是細胞表面膜受體,被認爲在腫瘤發生中發揮着關鍵作用,先前的研究表明其參與了癌症的發起、進展和轉移。據估計,針對GPCRs的藥物佔治療藥物的全球市場超過30%,然而已確定特定GPCR靶點的數量僅佔GPCR超家族的一小部分,表明針對GPCRs進行未來藥物研發和開發的潛力巨大。2,3.

"As a result of our sustained efforts to develop this technology, Predictive Oncology has been able to file expansive intellectual property (IP) protection for its novel GPCR expression platform," said Dr. Larry DeLucas, SVP of Biologics for Predictive Oncology. "We believe that this technology will open significant partnering opportunities for our company, and we look forward to working with drug discovery and development companies that are targeting GPCRs to expand their portfolios and replenish their pipelines."

腫瘤預測公司的生物學高級副總裁拉里·德魯卡斯博士表示:由於我們持續不斷地開發這項技術,預測腫瘤學公司已經能夠爲其新型GPCR表達平台提供廣泛的知識產權(IP)保護。我們相信,這項技術將爲我們的公司帶來重要的合作機會,我們期待與致力於擴大投資組合和補充其項目管道的藥物開發公司合作。

Predictive Oncology plans to combine this proprietary GPCR expression system with its current High-Throughput Self-Interaction Chromatography (HSC) protein solubilization technology to enable the rapid identification of solution conditions that maintain purified GPCRs in a soluble and stable form. The company believes this can overcome many of the difficulties seen with existing expression technologies.

預測腫瘤計劃將這種專有GPCR表達系統與其當前的高通量自交互色譜(HSC)蛋白質溶解技術相結合,以便快速確定維持純化GPCR以溶解和穩定形式的溶液條件。該公司相信,這可以克服現有表達技術所遇到的許多困難。

"We are very pleased to introduce our new platform to potential pharma partners targeting GPCRs of interest," stated Raymond Vennare, Chief Executive Officer of Predictive Oncology. "This technology represents a significant advancement over previous expression methodologies which, once launched later this year or in early 2025, will allow us to contribute to the advancement of new cancer therapeutics while tapping into a multi-billion-dollar annual market opportunity for GPCRs in the U.S. alone."

預測腫瘤公司的首席執行官雷蒙德·維納爾表示:“我們非常高興將這項新技術平台介紹給那些有興趣針對GPCR開展研究的製藥夥伴們。這項技術是相對於以往的表達方法的一個重要進展。我們相信,一旦在今年晚些時候或2025年初推出,我們將能夠爲新癌症治療方法的推進做出貢獻,同時也將在美國GPCR每年億萬美元的市場機會上分一杯羹。”

About Predictive Oncology
Predictive Oncology is on the cutting edge of the rapidly growing use of artificial intelligence and machine learning to expedite early drug discovery and enable drug development for the benefit of cancer patients worldwide. The company's scientifically validated AI platform, PEDAL, is able to predict with 92% accuracy if a tumor sample will respond to a certain drug compound, allowing for a more informed selection of drug/tumor type combinations for subsequent in-vitro testing. Together with the company's vast biobank of more than 150,000 assay-capable heterogenous human tumor samples, Predictive Oncology offers its academic and industry partners one of the industry's broadest AI-based drug discovery solutions, further complimented by its wholly owned CLIA lab and GMP facilities. Predictive Oncology is headquartered in Pittsburgh, PA.

醫學預測正在積極推進利用人工智能和機器學習來加速早期藥物發現,併爲全球癌症患者獲得藥物開發提供支持。該公司經過科學驗證的AI平台PADAL可以預測腫瘤樣本對某種藥物化合物的反應,準確率爲92%,從而更加科學地選擇藥物/腫瘤類型組合,進行隨後的體外測試。 還有,該公司擁有超過15萬個可用於實驗的異質性人類腫瘤樣本的生物庫,爲學術界和行業夥伴提供了業界最廣泛的基於人工智能的藥物發現解決方案,進一步得到了完全擁有的CLIA實驗室和GMP設施的支持。醫學預測總部位於賓夕法尼亞州匹茲堡市。
預測腫瘤公司是人工智能和機器學習快速崛起的前沿領域之一,旨在通過科學驗證的人工智能平台PEDAL以及150,000多個可測試的人類腫瘤細胞樣本生物庫爲全球癌症患者進一步地藥物開發及加速早期藥物發現做出努力。公司擁有完整的CLIA實驗室和GMP設施,其全面的基於人工智能的藥物開發解決方案爲學術界和行業合作伙伴提供了最廣泛的選擇。預測腫瘤公司總部設在賓夕法尼亞州匹茲堡市。

Investor Relations Contact
Tim McCarthy
LifeSci Advisors, LLC
tim@lifesciadvisors.com

投資者關係聯繫人
劍橋金融合夥人Timothy McCarthy和醫學預測的CEO Dr.Richard Gabriel。
領先的全球健康科技投行LifeSci Advisors LLC的合夥人Tim McCarthy:tim@lifesciadvisors.com
tim@lifesciadvisors.com

Forward-Looking Statements:
Certain matters discussed in this release contain forward-looking statements. These forward- looking statements reflect our current expectations and projections about future events and are subject to substantial risks, uncertainties and assumptions about our operations and the investments we make. All statements, other than statements of historical facts, included in this press release regarding our strategy, future operations, future financial position, future revenue and financial performance, projected costs, prospects, changes in management, plans and objectives of management are forward-looking statements. The words "anticipate," "believe," "estimate," "expect," "intend," "may," "plan," "would," "target" and similar expressions are intended to identify forward-looking statements, although not all forward-looking statements contain these identifying words. Our actual future performance may materially differ from that contemplated by the forward-looking statements as a result of a variety of factors including, among other things, factors discussed under the heading "Risk Factors" in our filings with the SEC. Except as expressly required by law, the Company disclaims any intent or obligation to update these forward-looking statements.

前瞻性聲明:
本文所涉及的某些事項包含前瞻性聲明。這些前瞻性聲明反映了我們關於未來事件的目前預期和展望,並受到我們的業務和投資所承擔的重大風險、不確定性和假設的影響。除了歷史事實陳述之外,本新聞稿中包含的所有關於我們的策略、未來業務、未來財務狀況、未來營業收入和財務表現、預計成本、前景、管理層變化、管理層計劃和目標的陳述均屬於前瞻性聲明。儘管不是所有前瞻性聲明都包含這些識別詞,但如“預計”、“相信”、“估計”、“期望”、“打算”、“可能”、“計劃”、“將會”、“鎖定”等表達旨在識別前瞻性聲明的:我們實際未來表現之可能會因各種各樣的因素而與前瞻性聲明所思考的大相徑庭,包括但不限於我們在參與美國證券交易委員會所載的“風險因素”中所討論的各種因素。“本公司除法律明確要求外,概不承諾有意或有義務更新這些前瞻性聲明。”

2 Persistence Market Research: https//www.persistencemarketresearch.com/market-research/q-protein-coupled-receptors-market.asp

2 Persistence Market Research: https//www.persistencemarketresearch.com/market-research/q-protein-coupled-receptors-market.asp

3 https://pubmed.ncbi.nlm.nih.gov/34194261/

我們的董事會認爲,我們的薪酬政策和實踐是合理的,並適當地將我們的員工利益與股東的利益相一致。董事會認爲,對於我們的高管和其他員工的激勵性薪酬與收益掛鉤的事實鼓勵採取有利於公司短期和長期盈利的行動。此外,薪酬委員會審查有關我們的薪酬政策和實踐的變化,以確保此類政策和實踐不會鼓勵我們的高管和其他員工採取可能導致公司出現重大不利影響的行動。https://pubmed.ncbi.nlm.nih.gov/34194261/

声明:本內容僅用作提供資訊及教育之目的,不構成對任何特定投資或投資策略的推薦或認可。 更多信息
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