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Nexentis Technologies Announces International AI Drug Discovery Initiative Between MitoCareX Bio and Boltz to Accelerate Novel SLC Small-Molecule Discovery

(Positive)
Tags
AI

Nexentis Technologies (NASDAQ:NXTS) announced an international AI drug discovery initiative linking its subsidiary MitoCareX Bio with Boltz to accelerate discovery of novel small molecules targeting selected SLC transporter proteins.

MitoCareX will combine its proprietary MITOLINE® 3D structural modeling with Boltz’s biomolecular foundation models for virtual screening and hit identification.

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Positive

  • MitoCareX engages Boltz to apply AI to SLC small-molecule discovery
  • Combined use of MITOLINE® and Boltz models to enhance virtual screening
  • MitoCareX retains full control over discovery programs and candidates

Negative

  • None.

News Market Reaction – NXTS

+155.91% 64.2x vol
69 alerts
+155.91% Session close to close
+390.7% Peak Tracked
-3.5% Trough Tracked
$24.81M Market Cap
64.2x Rel. Volume

In the Jun 22 session, NXTS gained 155.91%, reflecting a significant positive market reaction. Argus tracked a peak move of +390.7% during that session. Argus tracked a trough of -3.5% from its starting point during tracking. Our momentum scanner triggered 69 alerts that day, indicating high trading interest and price volatility. Trading volume was exceptionally heavy at 64.2x the daily average, suggesting very strong buying interest.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The stock surged +155.9% in the session following this news. A strong positive reaction aligns with ...
Analysis

The stock surged +155.9% in the session following this news. A strong positive reaction aligns with interest in AI-enabled drug discovery and prior MITOLINE® milestones. History shows modest moves on AI news, so watch whether enthusiasm persists once financing and execution risks are reassessed.

Key Figures

3D structural modeling: 3D
1 metrics
3D structural modeling 3D MITOLINE-enabled 3D structural modeling for transporter targets

Previous AI Reports

1 past event · Latest: Mar 13 (Positive)
Same Type Pattern 1 events
Date Event Sentiment 24h Move Catalyst
Mar 13 AI platform update Positive +0.0% Launch of new corporate website highlighting AI-driven MITOLINE discovery platform.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged announcements have historically produced only minimal share price movement for NXTS.

Key Terms

foundation models, binding affinity, in silico screening, small-molecule generative pipeline, +1 more
5 terms
foundation models technical
"an AI research lab that focuses on biomolecular foundation models and drug discovery workflows"
Foundation models are very large artificial intelligence systems trained on broad, general data so they can be quickly adapted to many different tasks, like a powerful, general-purpose engine or a Swiss Army knife for software. They matter to investors because they can lower costs and speed innovation across industries, create new products or revenue streams, and change competitive dynamics, while also introducing operational and regulatory risks that can affect a company’s financial outlook.
binding affinity medical
"foundation models for predicting biomolecular structure and binding affinity and designing new molecules"
A measure of how tightly a drug or molecule sticks to its intended target, such as a protein or receptor; higher binding affinity means the molecule is more likely to attach and stay attached. For investors, affinity is a simple signal of potential effectiveness and required dose—stronger binding can mean a clearer path to a working drug, lower development risk, and competitive advantage, much like a stronger magnet needing less force to hold an object in place.
in silico screening technical
"designed to model complex structures and binding affinities and support in silico screening and design"
In silico screening is the use of computer models and simulations to test large numbers of chemical compounds or biological targets virtually, predicting which ones are most likely to work before any lab experiments. For investors, it matters because this digital filtering speeds development, cuts early costs and reduces the risk of backing candidates that would later fail in costly lab or clinical tests—think of it as a virtual test drive that narrows down promising options faster.
small-molecule generative pipeline technical
"BoltzMol-1, the company’s small-molecule generative pipeline is designed to model complex structures"
A small-molecule generative pipeline is a process that uses advanced computer models to design and prioritize tiny chemical compounds that could become drugs, then moves the most promising candidates through lab testing and refinement. For investors, it matters because this approach can shorten development time, lower early-stage costs, and increase the chance of discovering novel medicines—similar to using a smart prototype machine that churns out, tests, and improves product ideas faster than manual design.
solute carrier (slc) proteins medical
"targeting selected solute carrier (SLC) proteins of interest to MitoCareX's pipeline"
Solute carrier (SLC) proteins are a large family of membrane transporters that move small molecules—such as ions, sugars, amino acids and many drugs—into and out of cells. They matter to investors because these proteins can determine how a medicine is absorbed, distributed or cleared, influence disease processes, and serve as drug targets or biomarkers; think of them as gatekeepers that can make or break a therapy’s effectiveness and safety.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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MITOLINE®-Enabled 3D Structural Modeling and Boltz AI Capabilities to Be Combined by MitoCareX in a Synergistic Virtual Screening Campaign for selected Transporter Targets

Neve Yarak, Israel, June 22, 2026 (GLOBE NEWSWIRE) -- Nexentis Technologies Inc. (NASDAQ: NXTS) (“Nexentis” or the “Company”), a drug discovery company that also invests in solar energy assets based on the RTB (Ready to Build) business model, today announced that its wholly owned subsidiary, MitoCareX Bio Ltd. (“MitoCareX”), has entered into an engagement with Boltz, PBC (“Boltz”), an AI research lab that focuses on biomolecular foundation models and drug discovery workflows, to accelerate the identification of novel small-molecule scaffolds targeting selected solute carrier (SLC) proteins of interest to MitoCareX's pipeline.

Under this initiative, MitoCareX intends to combine two complementary and independently validated capabilities: MitoCareX’s proprietary MITOLINE® algorithm platform and Boltz’s foundation models for predicting biomolecular structure and binding affinity and designing new molecules. MitoCareX believes this integrated approach can strengthen target-specific virtual screening campaigns for challenging transporter proteins and improve hit identification.

“MITOLINE® gives us target-specific structural insight, and Boltz adds additional AI-enabled capabilities that may help us identify differentiated starting points more efficiently”, said David Palach, Chief Executive Officer of Nexentis Technologies Inc. “This approach is intended to expand our hit discovery efforts across selected transporter targets while preserving MitoCareX’s focus on building proprietary small-molecule programs.”

Using MITOLINE®, MitoCareX previously identified initial hit molecules against a selected SLC25 target and has since advanced this program through systematic medicinal chemistry optimization, culminating in the generation of an optimized hit molecule with substantially improved pharmaceutical properties - as announced in May 2026.

The initial phase of the project with Boltz is expected to focus on a selected set of SLC protein targets and virtual screening campaigns designed to identify differentiated small-molecule starting points. Subject to the results of this initial phase, the companies may expand the scope of this initiative to additional targets within MitoCareX’s broader discovery activities. MitoCareX will retain full control over its discovery programs and any small-molecule candidates it advances using this combined approach.

Boltz describes Boltz Lab as a hosted platform that combines biomolecular foundation models, managed compute, and scientist-oriented workflows, and has publicly highlighted the deployment of its models with industry partners, including a strategic collaborations with Pfizer and Takeda. BoltzMol-1, the company’s small-molecule generative pipeline is designed to model complex structures and binding affinities and support in silico screening and design of small-molecule for drug discovery programs.

MitoCareX is focused on developing novel therapies for hard-to-treat cancers and inflammatory metabolic diseases. The Company believes that combining proprietary biological and structural insight with advanced AI tools may support a differentiated discovery strategy for novel transporter-focused therapeutics.

About Nexentis Technologies Inc.

Nexentis Technologies Inc. (NASDAQ: NXTS) owns 100% of MitoCareX Bio Ltd, a drug discovery company engaged in targeting cancer and inflammatory metabolic disease indications through the mitochondrial SLC25 protein family. Additionally, Nexentis adopted an investment strategy focused on European renewable energy assets utilizing a RTB (Ready to Build) business model. The Company is currently the lead investor in four solar projects across three European Union countries, all introduced by Solterra Renewable Energy Ltd., a wholly owned subsidiary of Solterra Energy Ltd.

For additional details, please visit https://nexentistech.com/

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. Words such as “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates” and similar expressions or variations of such words are intended to identify forward-looking statements. For example, the Company is using forward-looking statements when it discusses the anticipated benefits, objectives, opportunities, potential outcomes and future activities under the initiative, as well as the parties’ expectations regarding the research, development, market opportunities, and strategic value of the initiative. Because forward-looking statements relate to matters that have not yet occurred, these statements are inherently subject to known and unknown risks, uncertainties and other factors that may cause Nexentis Technologies’ and its subsidiaries’ actual results, performance or achievements to be materially different from any future results, performance or achievements expressed or implied by the forward-looking statements. Important factors that could cause actual results, performance or achievements to differ materially from those anticipated in these forward-looking statements include, among other things, our market and other conditions, history of losses and needs for additional capital to fund our operations and our inability to obtain additional capital on acceptable terms, or at all; uncertainties of cash flows and inability to meet working capital needs; the initiation, timing, progress and results of our preclinical studies, clinical trials and other product candidate development efforts; our ability to advance our product candidates into clinical trials or to successfully complete our preclinical studies or clinical trials; our receipt of regulatory approvals for our product candidates, and the timing of other regulatory filings and approvals; the clinical development, commercialization and market acceptance of our product candidates; our ability to establish and maintain strategic partnerships and other corporate initiatives and collaborations; the implementation of our business model and strategic plans for our business and product candidates; the scope of protection we are able to establish and maintain for intellectual property rights covering our product candidates and our ability to operate our business without infringing the intellectual property rights of others; competitive companies, technologies and our industry; risks related to not satisfying the continued listing requirements of Nasdaq Capital Market; and statements as to the impact of the political and security situation in Israel on our business. More information on these risks, uncertainties and other factors is included from time to time in the “Risk Factors” section of Nexentis Technologies’ Annual Report on Form 10-K filed with the Securities and Exchange Commission (“SEC”) on March 31, 2026 and other public reports filed with the SEC. Except as otherwise required by law, we undertake no obligation to publicly release any revisions to these forward-looking statements to reflect events or circumstances after the date hereof or to reflect the occurrence of unanticipated events. References and links to websites have been provided as a convenience, and the information contained on such websites is not incorporated by reference into this press release. We are not responsible for the contents of third-party websites.

Investor Relations Contact:
Michal Efraty
michal@efraty.com


FAQ

What did Nexentis Technologies (NASDAQ:NXTS) announce about its AI drug discovery initiative in June 2026?

Nexentis announced an AI-driven drug discovery initiative between MitoCareX Bio and Boltz to accelerate SLC small-molecule discovery. According to Nexentis, the project combines MITOLINE® structural modeling with Boltz biomolecular foundation models to support virtual screening and hit identification across selected transporter targets.

How will MitoCareX Bio use Boltz AI technology in the new Nexentis (NXTS) initiative?

MitoCareX plans to integrate Boltz foundation models with its MITOLINE® platform to screen SLC transporter targets. According to Nexentis, Boltz models are intended to predict biomolecular structure, binding affinity, and design new molecules, supporting differentiated small-molecule starting points for MitoCareX programs.

Which drug targets are included in the Nexentis (NXTS) and Boltz AI collaboration?

The initial phase focuses on a selected set of solute carrier (SLC) protein targets for virtual screening. According to Nexentis, MitoCareX previously used MITOLINE® against an SLC25 target and may expand this initiative to additional targets based on early project results.

What control does MitoCareX Bio retain in the Nexentis (NXTS) AI discovery initiative with Boltz?

MitoCareX will retain full control of its discovery programs and any advanced small-molecule candidates. According to Nexentis, Boltz contributes AI tools and compute, while MitoCareX continues building proprietary transporter-focused small-molecule programs within its broader discovery strategy.

How does the Nexentis (NXTS) AI collaboration support MitoCareX’s focus on cancer and metabolic diseases?

The initiative aims to improve hit discovery for transporter targets relevant to hard-to-treat cancers and inflammatory metabolic diseases. According to Nexentis, combining MITOLINE® biological and structural insight with Boltz AI tools may support a differentiated strategy for novel transporter-based therapeutics.