PATENT CLAIM ANALYSIS

Application Number: 15986369
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["424", "093410"]

Abstract:
The present invention relates to methods and compositions for reducing the risk and severity of vancomycin-resistant Enterococci infection or colonization. It is based, at least in part, on the discovery that a restricted fraction of the gut microbiota, including the bacteria  Clostridium scindens  and/or the bacteria  Blautia producta  contribute substantially to resistance against vancomycin-resistant Enterococci infection or colonization. Without being bound by any particular theory, it is believed that this is achieved through the biosynthesis of secondary bile acids in the case of  Clostridium scindens.

Claim (Index 1):
A method for reducing the risk of vancomycin-resistant Enterococci (VRE) infection or VRE colonization in a subject, and/or increasing resistance to VRE infection or VRE colonization in the subject, and/or reducing the severity of VRE infection in the subject, and/or reducing the amount of VRE colonizing the subject, comprising administering, to the subject in need of such treatment, a therapeutically effective amount of a composition comprising at least one of a  Clostridium scindens  bacteria and/or a  Blautia producta  bacteria in a formulation suitable for administration to the subject.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 93.0
- Lexical Diversity: 1.4375
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15884029', '15039007', '14968086', '15630088', '15801783']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6919254413338207
- 35 USC 102 Novelty (BERT): 0.5263362213622679
- Combined Prediction Score: 0.6753665193366655
- Mean Citation Score: 318.505716
- Max Citation Score: 346.61725
- Similarity Product: 258.67321646115187

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

Dataset: test