Intelligent Silk Protein Fragment Compositions for Advanced Materials and Applications

Publication ID: 24-11857664_0008_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Silk Protein Fragment Compositions for Advanced Materials and Applications,” Published Technical Disclosure No. 24-11857664_0008_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857664_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. 11,857,664.

Summary of the Inventive Concept

This inventive concept integrates silk protein fragments with AI, IoT, blockchain, and advanced materials to create a new generation of high-performance materials and applications.

Background and Problem Solved

The original patent disclosed stable silk protein fragment compositions, but it did not address the limitations of manual production, lack of personalized products, and insecure tracking. This inventive concept solves these problems by introducing AI-driven optimization, IoT-enabled monitoring, blockchain-based authentication, and integration with advanced materials like graphene.

Detailed Description of the Inventive Concept

The new system combines machine learning algorithms for optimizing molecular weight and polydispersity of silk protein fragments with IoT-enabled devices for real-time monitoring of the production process. This results in tailored silk protein fragments for specific applications. Additionally, the inventive concept incorporates AI-driven skin analysis for personalized cosmetic products, blockchain-based tracking for secure authentication, and composite materials with graphene for enhanced properties.

Novelty and Inventive Step

The new claims introduce a synergistic combination of silk protein fragments with AI, IoT, blockchain, and advanced materials, which is not obvious from the original patent. The inventive step lies in the integration of these distinct technologies to create a more powerful system.

Alternative Embodiments and Variations

Alternative embodiments could include integrating silk protein fragments with other AI algorithms, using different IoT devices, or incorporating additional advanced materials. Variations could include adapting the system for specific industries, such as biomedical or textile applications.

Potential Commercial Applications and Market

The inventive concept has broad commercial potential in industries like cosmetics, biomedical devices, and advanced materials. The target market includes companies seeking high-performance materials, personalized products, and secure tracking and authentication solutions.

CPC Classifications

SectionClassGroup
A A61 A61K8/64
A A45 A45D33/00
A A61 A61K8/02
A A61 A61K8/0216
A A61 A61K8/042
A A61 A61K8/19
A A61 A61K8/27
A A61 A61K8/29
A A61 A61K8/365
A A61 A61K8/4953
A A61 A61K8/676
A A61 A61K8/735
A A61 A61K8/922
A A61 A61K8/97
A A61 A61K8/9789
A A61 A61K8/9794
A A61 A61K8/987
A A61 A61K9/08
A A61 A61K31/375
A A61 A61K38/00
A A61 A61K38/012
A A61 A61K45/06
A A61 A61K47/02
A A61 A61K47/12
A A61 A61K47/36
A A61 A61Q17/04
A A61 A61Q19/00
A A61 A61Q19/007
A A61 A61Q19/02
A A61 A61Q19/08
C C07 C07K1/12
C C07 C07K14/43586
A A61 A61K2800/591
A A61 A61K2800/72
A A61 A61K2800/74
A A61 A61K2800/75

Field of Art

Biomaterials and protein engineering, with specific focus on silk protein compositions for medical, cosmetic, and advanced material applications. Requires expertise in materials science, protein chemistry, and biotechnology with advanced knowledge of molecular weight manipulation and protein fragment characterization

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in materials science, bioengineering, or chemical engineering, possessing expertise in protein modification techniques, molecular weight optimization, and advanced material design. Familiar with AI, machine learning, and IoT technologies applied to materials development

Obviousness Rationale

A person having ordinary skill in the art would recognize that the PTD's integration of AI, IoT, and advanced material technologies with silk protein fragment compositions represents predictable combinations of known techniques. The source patent establishes foundational teachings about silk protein fragment molecular weight and crystalline domain characteristics, which naturally invite technological augmentation using contemporary engineering approaches. The disclosed variations represent logical extensions of existing silk protein research using standard interdisciplinary engineering methodologies.

Obvious Combinations & Variations

Source Patent Element
Silk fibroin protein fragments with specific molecular weight ranges (17-38 kDa)
PTD Variation
Machine learning algorithm for optimizing molecular weight and polydispersity of silk protein fragments
Obviousness Reasoning
Predictable application of computational optimization to an existing molecular engineering problem, representing a routine design choice for a skilled practitioner
Source Patent Element
Silk protein fragment compositions with variable crystalline domain percentages
PTD Variation
Composite material incorporating graphene with tailored silk protein fragments
Obviousness Reasoning
Known technique of enhancing material properties through strategic composite design, utilizing established principles of materials science
Source Patent Element
Silk protein fragments for potential medical and cosmetic applications
PTD Variation
AI-driven skin analysis platform using personalized silk protein fragment compositions
Obviousness Reasoning
Logical extension of existing biomedical applications using contemporary machine learning technologies, representing a predictable technological convergence
Source Patent Element
Silk protein fragment compositions with defined molecular characteristics
PTD Variation
Blockchain-based tracking platform for authenticating silk protein fragment production
Obviousness Reasoning
Standard industry approach to implementing traceability and quality control using emerging digital authentication technologies
Source Patent Element
Silk protein fragments for various material applications
PTD Variation
IoT-enabled monitoring system for real-time production process tracking
Obviousness Reasoning
Routine implementation of process monitoring technologies in advanced materials development, representing a predictable technological enhancement
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857664 and the disclosed variations, a person having ordinary skill in the art would find the claimed innovations obvious and lacking non-obvious inventive merit. The combination of known silk protein fragment techniques with contemporary AI, IoT, and advanced material technologies represents a predictable application of standard engineering methodologies, thereby rendering the claimed innovations obvious to a skilled practitioner in the field.

Original Patent Information

Patent NumberUS 11,857,664
TitleStable silk protein fragment compositions
Assignee(s)EVOLVED BY NATURE, INC.