PATENT CLAIM ANALYSIS

Application Number: 16057766
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-11
Patent Classification: ["424", "141100"]

Abstract:
The present invention provides antibodies that bind to human GFRα3 and methods of using same. According to certain embodiments of the invention, the antibodies are fully human antibodies that bind to human GFRα3. The antibodies of the invention are useful for the treatment of diseases and disorders associated with one or more GFRα3 biological activities, including the treatment of acute or chronic pain conditions, or inflammatory conditions.

Claim (Index 22):
The method of  claim 21 , wherein the GFR\u03b13-related condition or disease is selected from the group consisting of acute pain, chronic pain, neuropathic pain, inflammatory pain, a functional pain syndrome, arthritis, pancreatitis, osteoarthritis, cluster headaches, trigeminal neuralgia, herpetic neuralgia, general neuralgias, neurodegenerative disorders, movement disorders, neuroendocrine disorders, ataxia, visceral pain, acute gout, post-herpetic neuralgia, diabetic neuropathy, sciatica, back pain, head or neck pain, severe or intractable pain, breakthrough pain, post-surgical pain, hereditary erythromelalgia, dental pain, rhinitis, cancer pain, complex regional pain syndrome (CRPS), inflammatory bowel disease (e.g. Crohn's disease or ulcerative colitis) and bladder disorders.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 96.0
- Lexical Diversity: 1.78049
- Patent Class: 424.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15382256', '14577362', '13971965', '14717760', '15621689']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8664146032033782
- 35 USC 102 Novelty (BERT): 0.6174471016216776
- Combined Prediction Score: 0.8415178530452081
- Mean Citation Score: 618.217626
- Max Citation Score: 790.70087
- Similarity Product: 494.2575596806079

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