Personalized Antimicrobial Prophylaxis and Therapy via AI-Driven Peptide Design

Publication ID: 24-11857615_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Personalized Antimicrobial Prophylaxis and Therapy via AI-Driven Peptide Design,” Published Technical Disclosure No. 24-11857615_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857615_0010_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. 11,857,615.

Summary of the Inventive Concept

This inventive concept leverages machine learning, synthetic biology, and genomics to develop a personalized antimicrobial prophylaxis and therapy platform, enabling tailored peptide-based treatments for individual patients and combatting antimicrobial resistance.

Background and Problem Solved

The original patent disclosed peptides derived from Acinetobacter baumannii for vaccination, but it had limitations in terms of scalability, adaptability, and personalized treatment. This new inventive concept addresses these limitations by integrating AI-driven design, gene editing, and synthetic biology to create a next-generation antimicrobial platform.

Detailed Description of the Inventive Concept

The inventive concept comprises a system for personalized antimicrobial prophylaxis, wherein a plurality of polypeptides derived from Acinetobacter baumannii are tailored to a specific individual's genetic profile using machine learning algorithms. Additionally, the concept includes methods for in-situ production of antimicrobial peptides in a host organism, diagnostic kits for detecting antimicrobial resistance, personalized vaccine platforms, and synthetic biology approaches to antimicrobial therapy. These components work in tandem to provide a comprehensive and adaptive solution for combating antimicrobial resistance.

Novelty and Inventive Step

The new claims introduce a paradigm shift in antimicrobial prophylaxis and therapy by integrating AI-driven design, gene editing, and synthetic biology. The inventive concept's novelty lies in its ability to provide personalized, adaptive, and scalable solutions, which are not addressed by the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, gene editing systems, or synthetic biology approaches. Variations could also involve the application of this platform to other diseases or pathogens, or the integration of additional components, such as CRISPR-Cas systems or microbiome analysis.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the pharmaceutical, biotechnology, and healthcare industries, particularly in the areas of antimicrobial resistance, personalized medicine, and synthetic biology. The target market includes pharmaceutical companies, biotech startups, and healthcare providers seeking innovative solutions to combat antimicrobial resistance.

CPC Classifications

SectionClassGroup
A A61 A61K39/104
C C07 C07K14/212
A A61 A61K2039/543
A A61 A61K2039/55505
A A61 A61K2039/55566
G G01 G01N2333/22
G G01 G01N2469/20

Field of Art

Biotechnology and immunology, specifically antimicrobial peptide design, vaccine development, and synthetic biology with a focus on genetic engineering and machine learning applications in personalized medicine

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in biotechnology, molecular biology, or bioengineering, possessing expertise in protein engineering, machine learning algorithms, genomic analysis, and synthetic biology techniques

Obviousness Rationale

A person of ordinary skill would recognize that the PTD represents a predictable extension of the source patent's core teachings about Acinetobacter baumannii peptides by applying known machine learning and synthetic biology techniques to personalize and optimize antimicrobial therapeutic approaches. The fundamental scientific principles underlying peptide-based therapeutics remain consistent, with the PTD merely introducing computational and personalization strategies that were inherently foreseeable to experts in the field. The integration of AI-driven design with existing peptide research represents an incremental rather than revolutionary advancement.

Obvious Combinations & Variations

Source Patent Element
Polypeptides derived from Acinetobacter baumannii with specific sequence characteristics
PTD Variation
Machine learning algorithms for tailoring polypeptides to individual genetic profiles
Obviousness Reasoning
Predictable application of computational techniques to existing peptide design methodologies, representing a routine optimization strategy known in personalized medicine
Source Patent Element
Pharmaceutical compositions containing polypeptides and adjuvants
PTD Variation
Personalized vaccine platform using polypeptide libraries and genetic profile-based selection
Obviousness Reasoning
Logical extension of existing vaccine development principles, utilizing well-established computational screening techniques
Source Patent Element
Polynucleotide encoding polypeptides for potential therapeutic use
PTD Variation
In-situ production of antimicrobial peptides using gene editing and vector integration
Obviousness Reasoning
Conventional genetic engineering approach that applies standard molecular biology techniques to implement therapeutic peptide production
Source Patent Element
Polypeptide sequences with specific identity percentages and length ranges
PTD Variation
AI-driven method for predicting optimal polypeptide combinations based on genetic markers
Obviousness Reasoning
Predictable application of machine learning to existing sequence variation principles, representing a standard computational approach to biological optimization
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857615 and the principles of predictable biotechnological innovation, the claimed variations in the published technical disclosure would have been obvious to a person having ordinary skill in the art at the time of invention. The disclosed methods represent routine applications of known computational and synthetic biology techniques to existing peptide-based therapeutic strategies, thereby rendering subsequent claims of novelty invalid under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,615
TitlePeptides derived from Acinetobacter baumannii and their use in vaccination
Assignee(s)Evaxion Biotech A/S