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Last Updated: December 26, 2024

Patent: 10,081,671


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Summary for Patent: 10,081,671
Title:Human monoclonal antibody specific for the F protein of respiratory syncytial virus (RSV)
Abstract: This invention is directed to an antibody construct or fragment thereof derived from an RSV-infected human, such that the antibody construct binds with specificity to RSV fusion protein antigenic region II/A with an affinity of greater than 1.times.10.sup.-9M. Preferably, the antibody construct is capable of neutralizing RSV strains, including at least one RSV strain that is resistant to palivizumab. The invention further relates to nucleic acids encoding the antibody construct or portions thereof, and cell lines expressing the antibody. This invention further relates to methods for producing said antibody construct, and to the use of said antibody construct for treating or preventing infection of a patient by RSV having a normal or mutated version of F protein.
Inventor(s): Koch; Holger (San Jose, CA), Urwyler; Simon (San Jose, CA), Rudolf; Michael (San Jose, CA), Truong; Vu (Campbell, CA)
Application Number:15/523,190
Patent Claims:see list of patent claims
Patent landscape, scope, and claims summary:

Analyzing the Claims and Patent Landscape of United States Patent 10,081,671

Introduction

Understanding the claims and the broader patent landscape of a specific patent, such as United States Patent 10,081,671, is crucial for inventors, patent attorneys, and business professionals. This analysis will delve into the key aspects of patent claims, the patent landscape, and the implications of recent developments in patent law and technology.

Understanding Patent Claims

Patent claims are the heart of any patent application, as they define the scope of the invention and the rights granted to the patentee. The business and legal value of a patent resides primarily in its claims[2].

Importance of Claims

Claims must be carefully crafted to ensure they are clear, concise, and legally enforceable. The number of claims in a patent application has been increasing, with some applications including hundreds or even thousands of claims. This trend is partly driven by legal precedents, such as the Festo Corporation v. Shoketsu Kinzoku Kogyo Kabushiki Co. Ltd. case, which emphasized the importance of claim interpretation and the potential limitations imposed by narrowing amendments during prosecution[2].

Automated Claims Analysis

To manage the complexity of large numbers of claims, automated systems like the Patent Claims Analysis System have been developed. These systems can import claims directly from the USPTO, parse them hierarchically, and display them in an interactive format, facilitating easier review and analysis[2].

Patent 10,081,671: A Case Study

While the specific details of United States Patent 10,081,671 are not provided in the sources, we can apply general principles to understand its claims and place it within the broader patent landscape.

Claim Structure and Scope

The claims of any patent, including 10,081,671, would typically include independent and dependent claims. Independent claims define the invention broadly, while dependent claims narrow down the scope by adding specific limitations. The hierarchy of these claims is crucial for understanding the patent's scope and potential enforceability[2].

Prosecution History

The prosecution history of a patent, including any amendments made during the application process, can significantly impact the claims' scope. For example, narrowing amendments can limit the doctrine of equivalents and invoke prosecution history estoppel, affecting the patent's enforceability[2].

Patent Landscape and Trends

Increasing Patent Applications

The number of patent applications filed at the USPTO has been increasing steadily, driven by technological innovation and the need for patent protection to attract capital for development and commercialization. This trend is facilitated by advancements in technology, such as word processing and remote electronic database searching[2].

Patent Quality and Inter Partes Review

The quality of patents, particularly their ability to survive post-grant validity challenges like inter partes review, is a significant concern. Studies have shown that patents prosecuted by large law firms, those in the pharmaceutical sector, and those with more words per claim are more likely to survive such reviews. Conversely, patents obtained by small entities or those with higher backward citation counts are less likely to survive[3].

Role of AI in Patent Searches

Artificial Intelligence (AI) is increasingly being used in the patent evaluation process, particularly for prior art searches. AI tools can automate laborious searches, improving efficiency for both patent applicants and examiners. However, there are concerns about the volume of AI-generated disclosures and their potential impact on patentability[4].

Legal and Regulatory Framework

Obviousness-Type Double Patenting (ODP)

The concept of ODP is critical in preventing inventors from securing multiple patents for the same invention with different expiration dates. Recent court decisions, such as In re Cellect, emphasize the importance of ODP analysis in ensuring that patents do not extend beyond their intended term due to Patent Term Adjustments (PTA)[1].

Patent Term Adjustments

PTA is granted to compensate for delays in the patent prosecution process. However, it does not extend the patent term beyond the date of a terminal disclaimer, which is often used to overcome ODP rejections. This ensures that patents do not unfairly extend their term due to procedural delays[1].

Inventorship and Deceptive Intent

Correct inventorship is essential for the validity of a patent. Errors in inventorship can be corrected, but deceptive intent in naming inventors can render the patent unenforceable. This highlights the importance of accurate and honest disclosure during the patent application process[5].

Strategies for Navigating the Patent Landscape

Leveraging Automated Tools

Automated systems for claims analysis and prior art searches can significantly enhance the efficiency and accuracy of the patent application and prosecution process. These tools help in managing the complexity of large claim sets and identifying relevant prior art quickly[2][4].

Ensuring High-Quality Patents

To increase the likelihood of a patent surviving post-grant challenges, applicants should focus on clear and comprehensive claim drafting, engage experienced patent prosecutors, and ensure thorough prosecution histories. Additionally, leveraging data from inter partes review proceedings can provide insights into strategies for improving patent quality[3].

Adapting to AI Integration

As AI becomes more integral to the patent system, applicants and examiners must adapt to its benefits and challenges. This includes understanding how AI-generated prior art may impact patentability and ensuring that AI tools are used effectively to enhance the quality and efficiency of the patent evaluation process[4].

Key Takeaways

  • Claims Analysis: The claims of a patent are its most critical component, defining the scope and enforceability of the invention.
  • Automated Tools: Leveraging automated systems for claims analysis and prior art searches can enhance efficiency and accuracy.
  • Patent Quality: Factors such as prosecution by large law firms, claim complexity, and thorough prosecution histories can improve a patent's chances of surviving post-grant challenges.
  • AI Integration: AI is transforming prior art searches and patent evaluation, offering efficiency gains but also presenting new challenges.
  • Legal Framework: Understanding ODP, PTA, and the importance of accurate inventorship is crucial for maintaining patent validity.

FAQs

Q1: What is the significance of patent claims in a patent application? Patent claims define the scope of the invention and the rights granted to the patentee, making them the most critical component of a patent application.

Q2: How is AI impacting the patent evaluation process? AI is being used to automate prior art searches, improve the efficiency of the patent evaluation process, and enhance the quality of patents issued. However, it also raises concerns about the volume of AI-generated disclosures and their impact on patentability.

Q3: What is obviousness-type double patenting (ODP), and why is it important? ODP prevents inventors from securing multiple patents for the same invention with different expiration dates, ensuring that patents do not unfairly extend their term due to procedural delays.

Q4: How can automated tools help in patent claims analysis? Automated tools can import claims, parse them hierarchically, and display them in an interactive format, facilitating easier review and analysis of complex claim sets.

Q5: What are the implications of incorrect inventorship in a patent application? Incorrect inventorship, especially with deceptive intent, can render a patent unenforceable. Accurate and honest disclosure of inventors is essential for maintaining patent validity.

Sources

  1. In re Cellect - United States Court of Appeals for the Federal Circuit[1]
  2. Patent Claims Analysis System and Method - Google Patents[2]
  3. Determinants of Patent Quality: Evidence from Inter Partes Review - University of Colorado Law Review[3]
  4. The Transformative Impact of AI on Patent Prior Art Searches - Ropes & Gray[4]
  5. Determining Inventorship for US Patent Applications - Oregon State University[5]

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Details for Patent 10,081,671

Applicant Tradename Biologic Ingredient Dosage Form BLA Approval Date Patent No. Expiredate
Swedish Orphan Biovitrum Ab (publ) SYNAGIS palivizumab For Injection 103770 June 19, 1998 ⤷  Subscribe 2039-02-26
Swedish Orphan Biovitrum Ab (publ) SYNAGIS palivizumab Injection 103770 July 23, 2004 ⤷  Subscribe 2039-02-26
>Applicant >Tradename >Biologic Ingredient >Dosage Form >BLA >Approval Date >Patent No. >Expiredate

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