PATENT CLAIM ANALYSIS

Application Number: 15882228
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["424", "186100"]

Abstract:
A method of treating a subject having or at risk for having a virus infection, by administering to the subject a therapeutically effective amount of a composition comprising a vector encoding a CRISPR-associated endonuclease and at least two guide RNAs, wherein the guide RNAs are complementary to two target sequences spanning from the 5′- to 3′-LTRs of the sequence in the virus. A method of treating a subject having or at risk for having a virus infection, by administering to the subject a therapeutically effective amount of a composition comprising a vector encoding a CRISPR-associated endonuclease and at least two guide RNAs, wherein the guide RNAs are complementary to two target sequences spanning from the 5′- to 3′-LTRs of the sequence in the virus, and causing neither genotoxicity nor off-target editing to the host.

Claim (Index 19):
The method of  claim 15 , wherein the virus is selected from the group consisting of human immunodeficiency virus-1 (HIV-1), HIV-2, simian immunodeficiency virus (SIV), feline immunodeficiency virus (FIV), bovine immunodeficiency virus (BIV), equine infectious anemia virus (EIAV), and caprine arthritis/encephalitis virus (CAEV).

Metadata:
- Claim Count in Document: 74.0
- Percentile: 86.0
- Lexical Diversity: 2.76471
- Patent Class: 424.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14838057', '15148261', '15430218', '15864715', '14951240']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7764208685069182
- 35 USC 102 Novelty (BERT): 0.5802149133835942
- Combined Prediction Score: 0.7568002729945857
- Mean Citation Score: 443.56798800000007
- Max Citation Score: 622.66174
- Similarity Product: 373.76236251617433

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test