Targeted Protein Degradation Systems with Integrated AI, IoT, and Blockchain Technologies

Publication ID: 24-11857519_0008_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Targeted Protein Degradation Systems with Integrated AI, IoT, and Blockchain Technologies,” Published Technical Disclosure No. 24-11857519_0008_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857519_0008_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,519.

Summary of the Inventive Concept

This inventive concept integrates compounds for targeted protein degradation with AI, IoT, and blockchain technologies to create a more powerful and personalized system for treating diseases such as cancer.

Background and Problem Solved

The original patent disclosed compounds and methods for targeted degradation of enhancer of zeste homolog 2 polypeptide. However, these compounds have limited efficacy and specificity. The new inventive concept addresses these limitations by combining the compounds with AI-driven analysis, IoT-enabled sensors, and blockchain-secured payloads to create a more effective and personalized system.

Detailed Description of the Inventive Concept

The inventive concept consists of a compound having the chemical structure ULM-L-PTM, which binds to an E3 ubiquitin ligase and a target protein, respectively. The compound is integrated with a machine learning module that predicts optimal ubiquitin ligase-target protein combinations. The system also includes a blockchain-secured payload and IoT-enabled sensors for monitoring the subject's response. Additionally, the system may utilize AI-driven simulations to design novel materials with enhanced bioavailability.

Novelty and Inventive Step

The new inventive concept combines the compounds of the original patent with AI, IoT, and blockchain technologies, which is not obvious from the original patent. The integration of these technologies provides a synergistic effect, resulting in a more effective and personalized system.

Alternative Embodiments and Variations

Alternative embodiments may include using different AI algorithms, IoT-enabled devices, or blockchain platforms. The system may also be adapted for use in various diseases or conditions, such as neurodegenerative disorders or infectious diseases.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the pharmaceutical and biotechnology industries, particularly in the development of personalized medicines for cancer and other diseases. The integration of AI, IoT, and blockchain technologies also opens up opportunities for partnerships and collaborations with companies in these fields.

CPC Classifications

SectionClassGroup
A A61 A61K31/166
A A61 A61K31/351
A A61 A61K31/405
A A61 A61K38/45
A A61 A61K47/545
A A61 A61K47/55
A A61 A61K47/555
A A61 A61P35/00
C C07 C07D401/14
C C07 C07D405/12
C C07 C07D405/14
C C07 C07D409/14
C C07 C07D417/14
C C07 C07D471/04
C C12 C12N9/1007
C C12 C12Y201/01043

Field of Art

Medicinal Chemistry, Pharmaceutical Biotechnology, and Targeted Protein Degradation with emphasis on computational drug design and personalized medicine technologies

Person of Ordinary Skill (PHOSITA) Profile

A researcher with advanced degrees in chemistry or pharmaceutical sciences, expertise in protein engineering, computational biology, and familiarity with emerging technologies like AI, blockchain, and IoT in medical applications

Obviousness Rationale

A PHOSITA would recognize that integrating computational technologies with targeted protein degradation compounds represents a natural progression of drug development strategies. The combination of AI-driven analysis, IoT monitoring, and blockchain security with existing protein degradation compounds provides a predictable and incremental improvement in personalized medicine approaches. The technical elements disclosed in the PTD represent logical extensions of known methodologies in drug design and precision medicine.

Obvious Combinations & Variations

Source Patent Element
Compound with specific chemical structure ULM-L-PTM for targeted protein degradation
PTD Variation
Integrating machine learning modules to predict optimal ubiquitin ligase-target protein combinations
Obviousness Reasoning
Applying computational predictive techniques to drug design is a known technique in pharmaceutical research, representing a predictable application of AI to existing molecular targeting strategies
Source Patent Element
Pharmaceutical composition for protein degradation
PTD Variation
Incorporating blockchain-secured nanoparticle payload and IoT-enabled monitoring sensors
Obviousness Reasoning
Enhancing drug delivery and patient monitoring through digital technologies is an obvious technological progression for personalized medicine approaches
Source Patent Element
Chemical compound targeting specific protein interactions
PTD Variation
AI-driven simulations for designing novel materials with enhanced bioavailability
Obviousness Reasoning
Using computational modeling to optimize drug properties is a standard approach in pharmaceutical research, representing a finite set of predictable optimization strategies
Source Patent Element
Targeted protein degradation methodology
PTD Variation
Expanding application to multiple disease contexts including neurodegenerative and infectious diseases
Obviousness Reasoning
Adapting therapeutic approaches across related medical domains is a routine practice for skilled researchers exploring broader treatment potential
Source Patent Element
Pharmaceutical composition with specific chemical structure
PTD Variation
Patient-specific genomic data integration for personalized medicine approach
Obviousness Reasoning
Tailoring medical treatments using individual genetic information is an established trend in precision medicine, representing an obvious technological evolution
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857519 and the present published technical disclosure, a person of ordinary skill in the art would find the claimed variations obvious. The integration of computational technologies with targeted protein degradation compounds represents a predictable combination of known techniques in pharmaceutical research, rendering any claims to such methodological extensions unpatentable under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,519
TitleCompounds and methods for the targeted degradation of enhancer of zeste homolog 2 polypeptide
Assignee(s)Arvinas Operations, Inc.