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SciSparc: MitoCareX Unveils Groundbreaking Discovery of Small Molecule Structure in Anti-Cancer Research

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SciSparc announces MitoCareX Bio's successful identification of potential anti-cancer small molecules through advanced drug discovery platform and in-vitro screening systems, leading to the development of a predictive AI model for more efficient drug discovery.
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SciSparc's venture MitoCareX Bio's development of a predictive AI model represents a significant advancement in the drug discovery process. The ability to screen millions of small molecules and identify potential anti-cancer treatments using AI technology can dramatically accelerate the pace of discovery and reduce costs in the long run. This approach allows for a more targeted exploration of chemical spaces, potentially leading to the discovery of novel therapeutics with a higher success rate in clinical trials.

The targeting of the mitochondrial SLC25 protein family is a novel approach in cancer treatment. Mitochondria, being the powerhouses of the cell, play a important role in energy metabolism and cell death regulation. By focusing on this protein family, MitoCareX may develop drugs that can disrupt cancer cell metabolism, a strategy that could be effective across a variety of cancer types. The implications for stakeholders are significant, as success in this area could lead to a robust pipeline of new cancer therapies, potentially boosting the company's stock value and providing new treatment options for patients.

The creation of a predictive AI model by MitoCareX Bio is an example of how big data and machine learning are revolutionizing the pharmaceutical industry. The model's ability to navigate broader chemical spaces efficiently could reduce the time and resources required for drug discovery. It is important to note that the quality of the predictions made by such a model depends heavily on the data it was trained on. Ensuring the model has access to high-quality, diverse datasets will be key to its success.

Furthermore, the integration of AI in drug discovery could also lead to the development of personalized medicine. As the model learns from more data, it could potentially predict which molecules would be most effective for specific patient profiles based on genetic markers, leading to more personalized and effective treatments. This could open up new markets for the company and change the competitive landscape in oncology therapeutics.

The announcement by SciSparc regarding MitoCareX Bio's progress in AI-driven drug discovery could have a positive impact on investor sentiment. The pharmaceutical industry is highly competitive and companies that leverage cutting-edge technology to expedite drug discovery can gain a significant advantage. If the predictive AI model proves to be successful in identifying viable anti-cancer compounds, it could result in a shorter time-to-market for new drugs and a competitive edge for SciSparc.

However, investors should also be aware of the risks associated with drug development. Even with advanced AI models, the path from molecule identification to FDA approval is long and fraught with potential setbacks. The true value of this technology will be measured by its ability to produce marketable treatments that pass regulatory scrutiny and demonstrate efficacy and safety in humans. Close monitoring of MitoCareX Bio's progress and any partnerships or collaborations that may arise as a result of this technology will be essential for understanding its market potential.

MitoCareX Bio dedicates efforts to creating a predictive AI model to predict small molecules more efficiently

TEL AVIV, Israel, March 21, 2024 (GLOBE NEWSWIRE) -- SciSparc Ltd. (Nasdaq: SPRC) ("Company" or "SciSparc"), a specialty clinical-stage pharmaceutical company focusing on the development of therapies to treat disorders of the central nervous system, announced that MitoCareX Bio Ltd. ("MitoCareX"), the Company’s venture with Dr. Alon Silberman that focuses on drug discovery and the development of cancer therapeutics by targeting the mitochondrial SLC25 protein family, had virtually screened millions of small molecules by using its computationally advanced drug discovery platform, which resulted in the identification of several molecules that could be used for potential anti-cancer treatments.

As previously announced by the Company on March 12, 2024, by using its in-vitro screening systems related to the mitochondria, MitoCareX corroborated its virtual findings by confirming the anti-cancer biological activity of several small molecule structures.

Additionally, by utilizing the extensive virtual data generated, MitoCareX is working towards creating a predictive AI model. This model is expected to enable MitoCareX to navigate broader chemical spaces more efficiently, with the goal of uncovering more novel anti-cancer scaffolds that target its SLC25 protein of interest.

About SciSparc Ltd. (Nasdaq: SPRC):

SciSparc Ltd. is a specialty clinical-stage pharmaceutical company led by an experienced team of senior executives and scientists. SciSparc’s focus is on creating and enhancing a portfolio of technologies and assets based on cannabinoid pharmaceuticals. With this focus, the Company is currently engaged in the following drug development programs based on THC and/or non-psychoactive CBD: SCI-110 for the treatment of Tourette Syndrome, for the treatment of Alzheimer's disease and agitation; SCI-160 for the treatment of pain; and SCI-210 for the treatment of ASD and status epilepticus. The Company also owns a controlling interest in a subsidiary whose business focuses on the sale of hemp seeds’ oil-based products on Amazon Marketplace.

Forward-Looking Statements:

This press release contains forward-looking statements within the meaning of the "safe harbor" provisions of the Private Securities Litigation Reform Act of 1995 and other Federal securities laws. For example, SciSparc is using forward-looking statements when it discusses that MitoCareX is working towards creating a predictive AI model and that such model is expected to enable MitoCareX to navigate broader chemical spaces more efficiently, with the goal of uncovering more novel anti-cancer scaffolds that target the SLC25 protein of interest. Historical results of scientific research and clinical and preclinical trials do not guarantee that the conclusions of future research or trials will suggest identical or even similar conclusions. Because such statements deal with future events and are based on SciSparc's current expectations, they are subject to various risks and uncertainties and actual results, performance or achievements of SciSparc could differ materially from those described in or implied by the statements in this press release. The forward-looking statements contained or implied in this press release are subject to other risks and uncertainties, including those discussed under the heading "Risk Factors" in SciSparc's Annual Report on Form 20-F filed with the SEC on May 1, 2023, and in subsequent filings with the U.S. Securities and Exchange Commission. Except as otherwise required by law, SciSparc disclaims any intention or obligation to update or revise any forward-looking statements, which speak only as of the date they were made, whether as a result of new information, future events or circumstances or otherwise.

Investor Contact:
IR@scisparc.com
Tel: +972-3-6167055


SciSparc (SPRC) is a specialty clinical-stage pharmaceutical company focusing on the development of therapies to treat disorders of the central nervous system.

MitoCareX Bio is a venture of SciSparc focusing on drug discovery and the development of cancer therapeutics by targeting the mitochondrial SLC25 protein family.

MitoCareX Bio virtually screened millions of small molecules and identified several potential anti-cancer treatments through its computationally advanced drug discovery platform.

MitoCareX Bio confirmed the anti-cancer biological activity of small molecule structures by using in-vitro screening systems related to the mitochondria.

MitoCareX Bio is working towards creating a predictive AI model to navigate broader chemical spaces more efficiently for uncovering novel anti-cancer scaffolds targeting the SLC25 protein of interest.
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