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XtalPi's AI + Robotics Platform Powers First Clinical Milestone for ReviR's Rare Neurological Drug RTX-117

(PRNewsfoto/XtalPi Inc.)

News provided by

XtalPi

Mar 02, 2026, 10:29 ET

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  • RTX-117 is an investigational small molecule designed to modulate the Integrated Stress Response (ISR) pathway, with the goal of restoring protein translation homeostasis implicated in Charcot-Marie-Tooth disease (CMT) and Vanishing White Matter disease (VWM)
  • ReviR has dosed the first participant in a Phase 1 trial of RTX-117, initially evaluating safety, tolerability, pharmacokinetics (PK) and pharmacodynamics (PD) in healthy participants
  • Milestone marks the clinical entry of a potential first-in-class therapy for CMT and VWM co-discovered using XtalPi's AI and robotics drug R&D platform

CAMBRIDGE, Mass. & SHANGHAI, March 2, 2026 /PRNewswire/ -- XtalPi, a global leading AI- and robotics-driven drug discovery platform, today noted a key milestone in its collaboration with ReviR Therapeutics: dosing of the first participant in the Phase 1 clinical trial of RTX-117, an investigational small molecule being developed for Charcot-Marie-Tooth disease (CMT) and Vanishing White Matter disease (VWM). The candidate, discovered and optimized using XtalPi's AI + robotics platform alongside ReviR Therapeutics' VoyageR AI platform, has also received U.S. FDA Investigational New Drug (IND) clearance and Orphan Drug Designation (ODD) for CMT, enabling its clinical expansion into the U.S..

The Phase 1 study is a randomized, double-blind, placebo-controlled, dose-escalation trial carried out in China, designed to evaluate the safety, tolerability, pharmacokinetics (PK), and pharmacodynamics (PD) of RTX-117 in healthy participants, with the objective of supporting future studies in patients with CMT and VWM.

CMT affects approximately 1 in 2,500 people worldwide and is characterized by progressive peripheral neuropathy that can lead to muscle weakness, atrophy, and sensory loss, with some subtypes leading to high mortality rates.  VWM is a rare, often fatal pediatric leukodystrophy associated with progressive neurological decline. Both conditions currently lack approved disease-modifying therapies, representing a significant unmet medical need.

RTX-117 is a small molecule discovered and developed using ReviR's proprietary VoyageR AI platform in collaboration with XtalPi's AI+robotics drug discovery engine. By leveraging deep insights into RNA biology and protein translation homeostasis, RTX-117 is designed to act on the Integrated Stress Response (ISR) pathway by activating eIF2B, a mechanism enabled by XtalPi's closed-loop AI+robotics R&D platform combining predictive AI models and quantum physics with high-throughput automated experiments. RTX-117's rapid progression from algorithmic design to clinical testing demonstrates the platform's ability to address complex neuralogical diseases with high unmet need. The initiation of the Phase 1 study represents a step toward evaluating the clinical potential of ISR modulation in these rare neurological disorders.

"RTX-117's progress exemplifies how AI-driven precision drug discovery overcomes traditional economic barriers in rare disease R&D," said Dr. Shuhao Wen, Chairman of XtalPi. "Our platform's ability to rapidly translate biological discoveries into clinical candidates opens new frontiers for patients and partners. "

"The initiation of dosing in our first-in-human study, coupled with the dual IND clearance in China, marks a transformative leap for ReviR Therapeutics," added Peng Yue, PhD, CEO of ReviR. "By leveraging our VoyageR AI platform and our integrated cross-border operations in the U.S. and China, we are accelerating the development of our small molecule pipelines designed to address critical gaps where no approved disease-modifying treatments exist."

XtalPi and ReviR are advancing multiple collaborative programs, aiming to systematically tackle rare diseases with high unmet need. The success of RTX-117 further validates the scalability and clinical impact of AI + robotics in expanding treatment options for underserved patient populations.

About ReviR Therapeutics

ReviR Therapeutics is a global biotechnology company committed to discovering and developing innovative therapies for patients with serious genetic diseases. ReviR was founded in 2021 by leaders in computational biology, RNA biology, genomics, and drug discovery, with the aim to create disease-modifying therapies that are highly specific, efficacious, and safe. ReviR's lead candidate, RTX-117, is an investigational small molecule therapy for Charcot-Marie-Tooth disease (CMT)/Vanishing White Matter disease (VWM). In addition, ReviR's pipeline includes other orally administered small molecules designed to modulate RNA function by splicing. For more information about ReviR Therapeutics, visit www.revirtx.com or contact [email protected].

About RTX-117

RTX-117 is a potential first-in-class, orally administered small molecule therapy developed by ReviR Therapeutics, with discovery and molecular design powered by XtalPi's (2228.HK) AI and robotics drug discovery platform. The therapy targets the Integrated Stress Response (ISR) pathway by activating eIF2B, a key protein translation initiation factor. By restoring protein synthesis homeostasis and improving neuromuscular function, RTX-117 aims to address the underlying molecular pathology of related genetic disorders. The candidate is currently undergoing a Phase 1 clinical trial, with Investigational New Drug (IND) clearance already secured for both Charcot-Marie-Tooth disease (CMT) and Vanishing White Matter disease (VWM).

About XtalPi

XtalPi Holdings Limited (XtalPi, 2228.HK) was founded in 2015 by three physicists from the Massachusetts Institute of Technology (MIT). It is an innovative R&D platform powered by quantum physics, artificial intelligence, and robotics. By integrating first-principles calculations, AI algorithms, high-performance cloud computing, and standardized automation systems, XtalPi provides digital and intelligent R&D solutions for companies in the pharmaceutical, materials science, agricultural technology, energy, new chemicals, and cosmetics industries.

SOURCE XtalPi

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