Prosecution Insights
Last updated: July 15, 2026
Application No. 18/276,697

ANTI-SARS-COV-2 ANTIBODY

Non-Final OA §112
Filed
Aug 10, 2023
Priority
Feb 25, 2021 — JP 2021-029050 +1 more
Examiner
LANDSMAN, ROBERT S
Art Unit
1647
Tech Center
1600 — Biotechnology & Organic Chemistry
Assignee
Epsilon Molecular Engineering Inc.
OA Round
1 (Non-Final)
81%
Grant Probability
Favorable
1-2
OA Rounds
0m
Est. Remaining
94%
With Interview

Examiner Intelligence

Grants 81% — above average
81%
Career Allowance Rate
1029 granted / 1264 resolved
+21.4% vs TC avg
Moderate +13% lift
Without
With
+13.1%
Interview Lift
resolved cases with interview
Fast prosecutor
2y 2m
Avg Prosecution
40 currently pending
Career history
1295
Total Applications
across all art units

Statute-Specific Performance

§101
0.6%
-39.4% vs TC avg
§103
24.2%
-15.8% vs TC avg
§102
10.8%
-29.2% vs TC avg
§112
27.1%
-12.9% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1264 resolved cases

Office Action

§112
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . 1. Formal Matters A. In the response filed 3/23/26, Applicants elected Group I, without traverse, drawn to the species in claim 1(b). However, upon further review, both species have been examined. B. Claims 1-10 and 15 are pending. Claim 15 is withdrawn as being drawn to a non-elected invention. Claims 1-10 are the subject of this Office Action. 2. Claim Objections Though not incorrect, the Examiner requests clarification as to the phrase “former structural domains.” It is believed that this refers to the structural domains of claim 1. Applicants may also amend the claim for clarity. 3. Claim Rejections - 35 USC § 112(a) – scope of enablement The following is a quotation of the first paragraph of 35 U.S.C. 112(a): (a) IN GENERAL.—The specification shall contain a written description of the invention, and of the manner and process of making and using it, in such full, clear, concise, and exact terms as to enable any person skilled in the art to which it pertains, or with which it is most nearly connected, to make and use the same, and shall set forth the best mode contemplated by the inventor or joint inventor of carrying out the invention. The following is a quotation of the first paragraph of pre-AIA 35 U.S.C. 112: The specification shall contain a written description of the invention, and of the manner and process of making and using it, in such full, clear, concise, and exact terms as to enable any person skilled in the art to which it pertains, or with which it is most nearly connected, to make and use the same, and shall set forth the best mode contemplated by the inventor of carrying out his invention. Claim 10 is rejected under 35 U.S.C. 112, first paragraph, because the specification, while being enabling for a medicament with the intended use of treatment of SARS-CoV-2 infection, does not reasonably provide enablement for a medicament with the intended use of preventing this infection. The specification does not enable any person skilled in the art to which it pertains, or with which it is most nearly connected, to make the invention commensurate in scope with these claims. In In re Wands, 8USPQ2d, 1400 (CAFC 1988) page 1404, the factors to be considered in determining whether a disclosure would require undue experimentation include (1) the quantity of experimentation necessary, (2) the amount of direction or guidance presented, (3) the presence or absence of working examples, (4) the nature of the invention, (5) the state of the prior art, (6) the relative skill of those in the art, (7) the predictability or unpredictability of the art, and (8) the breadth of the claims. The breadth of the claims is excessive with regard to claiming the intended use of preventing SARS-CoV-2 infection. The Examiner has interpreted “prevention” as a condition will not occur in 100% of the subjects administered the intended compound. Applicants provide no guidance or working examples of achieving this, nor is it predictable to one of ordinary skill in the art how to prevent an infection from occurring in 100% of the subjects, as a virus entering the body could be considered an infection. These factors lead the Examiner to hold that undue experimentation is necessary to practice the invention as claimed. 4. Claim Rejections - 35 USC § 112(a) – written description Claims 1-10 are rejected under 35 U.S.C. 112(a) or 35 U.S.C. 112 (pre-AIA ), first paragraph, as failing to comply with the written description requirement. The claim(s) contains subject matter which was not described in the specification in such a way as to reasonably convey to one skilled in the relevant art that the inventor or a joint inventor, or for applications subject to pre-AIA 35 U.S.C. 112, the inventor(s), at the time the application was filed, had possession of the claimed invention. Claims 1, 6 and 7 broadly drawn to antibodies, or nucleic acids encoding, comprising (1) only one required CDR, and (2) wherein the 1-6 CDRs can have an amino acid substitution. The claims read on full-length antibodies (i.e. 6 CDRs – 3 from the heavy chain variable region and 3 from the light chain variable region). However, the specification only provides adequate written description of VHH antibodies/nanobodies which specifically bind to SARS-CoV-2, and that these antibodies comprise either (1) the three CDRs of SEQ ID NO:1-3, or (2) the three CDRs of SEQ ID NO:4-6. The specification does not teach antibodies that comprise as little as one CDR, nor SEQ ID NO:103 or 4-6, each with an amino acid substitution. Regarding VHH antibodies/nanobodies, Valdes-Trescano (Section 2.3) states that “global superposition metrics are not suitable for estimating the accuracy of Nb modeling due to their structural characteristics” and further state that “[a]t the sequence region level, we observed a considerable variation in the accuracy of CDR modeling, especially for CDR3”. The last full sentence on page 5 states that CDR2 shows appreciable variations regarding modeling and, continuing to page 6, that the main differences were found for CDR3 modeling and that the structural variations are considerable. In addition, Section 2.4 provides further discussion of the unpredictability of modeling the CDR3 region. Furthermore, neither the claims, nor the specification provide any written description for antibodies other than VHH antibodies/nanobodies. For these antibodies (comprising 6 CDRs), the nature of the invention is engineered antibodies where the relative level of skill of those in the art is deemed to be high. The state of the prior art is such that it is well-established in the art that the formation of an intact antigen-binding site of antibodies routinely requires the association of the complete heavy and light chain variable regions of a given antibody, each of which consists of three CDRs or hypervariable regions, which provide the majority of the contact residues for the binding of the antibody to its target epitope (Paul, William E.), under the heading “Fv Structure and Diversity in Three Dimensions”). The amino acid sequences and conformations of each of the heavy and light chain CDRs are critical in maintaining the antigen binding specificity and affinity, which is characteristic of the immunoglobulin. It is expected that all of the heavy and light chain CDRs in their proper order and in the context of framework sequences which maintain their required conformation, are required in order to produce a protein having antigen-binding function and that proper association of heavy and light chain variable regions is required in order to form functional antigen binding sites (Paul, page 293, first column, lines 3-8 and line 31 to column 2, line 9 and lines 27-30). Even minor changes in the amino acid sequences of the heavy and light variable regions, particularly in the CDRs, may dramatically affect antigen-binding function as evidenced by Rudikoff et al. Rudikoff et al. teach that the alteration of a single amino acid in the CDR of a phosphocholine-binding myeloma protein resulted in the loss of antigen-binding function. Colman P. M. et al teaches that even a very conservative substitution may abolish binding or may have very little effect on the binding affinity (see pg. 35, top of left column and pg. 33, right column). Additionally, Bendig M. M. et al. reviews that the general strategy for “humanizing” antibodies involves the substitution of all six CDRs from a rodent antibody that binds an antigen of interest, and that all six CDRs are involved in antigen binding (see entire document, but especially Figures 1-3). Similarly, the skilled artisan recognized a “chimeric” antibody to be an antibody in which both the heavy chain variable region (which comprises the three heavy chain CDRs) and the light chain variable region (which comprises the three light chain CDRs) of a rodent antibody are recombined with constant region sequences from a human antibody of a desired isotype (see entire document, but especially Figures 1-3). While there are some publications which acknowledge that CDR3 is important, the conformations of other CDRs as well as framework residues influence binding. MacCallum et al. analyzed many different antibodies for interactions with antigen and state that although CDR3 of the heavy and light chain dominate, a number of residues outside the standard CDR definitions make antigen contacts (see page 733, right col.) and non-contacting residues within the CDRs coincide with residues as important in defining canonical backbone conformations (see page 735, left col.). The fact that not just one CDR is essential for antigen binding or maintaining the conformation of the antigen binding site, is underscored by Casset et al., which constructed a peptide mimetic of an anti-CD4 monoclonal antibody binding site by rational design and the peptide was designed with 27 residues formed by residues from 5 CDRs (see entire document). Casset et al. also states that although CDR H3 is at the center of most if not all antigen interactions, clearly other CDRs play an important role in the recognition process (page 199, left col.) and this is demonstrated in this work by using all CDRs except L2 and additionally using a framework residue located just before the H3 (see page 202, left col.). In fact, even regarding CDR3, Scheffer et al. states “[t]herefore, many studies attempt to predict AIR-antigen binding exclusively based on the heavy/beta chain CDR3 sequences. Yet, the underlying rules determining whether an AIR can bind an antigen of interest remain unknown.” Furthermore, even within CDR3, Scheffer concludes “we have shown that there indeed exist motifs composed of a few amino acids in fixed positions of the antibody CDRH3, whose presence is nearly sufficient to predict antigen binding in a mutagenesis dataset where other variable regions were kept the same”. Applicants do not appear to show such a motif, nor would bind be predictable in the presence of changes to other CDRs. Further, Chen et al. teach that the substitution of a single amino acid can totally ablate antigen and that the same substitution in closely related antibodies can have opposite effects binding (e.g., see entire document, including Figure I). For example, the authors compared the effects of identical substitutions in related antibodies DI6 and TI5, and as shown in Figure 3, some substitutions increased antigen binding in one antibody while ablating it in the other. As such, it is unpredictable which combination of random substitution has the recited function. Finally, Ye teaches that “[t]he final data set contained 1157 antibodies and 57 antigens that were combined in 5041 antibody-antigen pairs. The best performance for the prediction of interactions was obtained by using the nearest neighbor method with the BLOSUM62 matrix, which resulted in around 82% accuracy on the full data set. These results provide a useful frame of reference, as well as protocols and considerations, for machine learning and data set creation in the prediction of antibody-antigen binding. However, in this approach, “[s]everal machine learning approaches were compared to predict antibody-antigen interaction from protein sequences”. Therefore, even with a study using 1157 antibodies and 57 antigens, the best prediction was 82%. Again, it is noted that several machine learning approaches were used, showing that prediction can still be difficult and dependent on the prediction method used. Thus, the state of the art recognized that it would be highly unpredictable that a specific binding member comprising an antibody comprising fewer than all 6 CDRs (or 3 for VHH/nanobodies), including those with a substitution to one or more of the CDRs of a parental antibody with a desired specificity would retain the antigen-binding function of the parental antibody. One of ordinary skill in the art could not predictably extrapolate the teachings in the specification, limited to antibodies that comprise all described wild-type CDRs to antibodies that are lacking, or that comprise alterations in one or more CDRs from the parental antibody. In summary, in view of the lack of the predictability of the art to which the invention pertains as evidenced by the above references, the lack of guidance and direction provided by applicant, and the absence of working examples, the Examiner concludes that undue experimentation would be required to practice the invention as claimed. 5. Conclusion No claim is allowable. Advisory information Any inquiry concerning this communication or earlier communications from the examiner should be directed to ROBERT S LANDSMAN whose telephone number is 571-272-0888. The examiner can normally be reached M-F 8 AM – 6 PM (eastern). Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Joanne Hama, can be reached at 571-272-2911. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). /ROBERT S LANDSMAN/Primary Examiner, Art Unit 1647
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Prosecution Timeline

Aug 10, 2023
Application Filed
Apr 22, 2026
Non-Final Rejection mailed — §112
Jul 08, 2026
Response Filed

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
81%
Grant Probability
94%
With Interview (+13.1%)
2y 2m (~0m remaining)
Median Time to Grant
Low
PTA Risk
Based on 1264 resolved cases by this examiner. Grant probability derived from career allowance rate.

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