PATENT CLAIM ANALYSIS

Application Number: 16028325
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
Patent Classification: ["424", "009330"]

Abstract:
The present invention relates to pharmaceutical compositions suitable for the treatment of chronic diseases associated with the presence of abnormal or an abnormal distribution of microflora in the gastrointestinal tract of a mammalian host, which compositions comprise viable non-pathogenic or attenuated pathogenic  Clostridia.  The compositions further comprise one or more additional viable non-pathogenic or attenuated pathogenic microorganisms selected from the group consisting of  Bacteroides, Eubacteria, Fusobacteria, Propionibacteria, Lactobacilli, anaerobic cocci, Ruminococcus, E. coli, Gemmiger, Desulfomonas, Peptostreptococcus,  and fungi. The present invention also provides pharmaceutical compositions suitable for the treatment of the same chronic diseases comprising viable non-pathogenic or attenuated pathogenic  Escherichia coli,  at least one strain of viable non-pathogenic or attenuated pathogenic  Bacteroides  and at least one strain of viable non-pathogenic or attenuated pathogenic microorganism.

Claim (Index 203):
The pharmaceutical composition of  claim 195 , wherein said pharmaceutical composition is effective for treating inflammatory bowel disease.

Metadata:
- Claim Count in Document: 623.0
- Percentile: 95.0
- Lexical Diversity: 2.01429
- Patent Class: 424.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15260207', '15178539', '15260879', '15017376', '14710487']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7676430263637453
- 35 USC 102 Novelty (BERT): 0.566059864874974
- Combined Prediction Score: 0.7474847102148682
- Mean Citation Score: 539.6801059999998
- Max Citation Score: 548.9238
- Similarity Product: 297.94167664718634

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

Dataset: test