Scientific Publications
Discover our latest research contributions advancing the fields of AI-driven drug discovery, STAT3 biology, and translational medicine.
Research Categories
Explore our scientific publications across our key research domains
STAT3 Biology
Fundamental insights into the structure and function of STAT3, exploring its role in cellular signaling pathways and disease progression.
AI in Drug Discovery
Innovative computational approaches leveraging machine learning and AI to accelerate the identification and optimization of novel therapeutic candidates.
Clinical Research
Translational and clinical studies evaluating the safety, efficacy, and mechanisms of TTI-101 and related compounds in various disease models and patient populations.
Featured Publications
Highlighting our most impactful research contributions
Targeting the SH2 Domain of STAT3 with Small Molecule Inhibitors for Cancer Therapy
A comprehensive analysis of the structural interactions between TTI-101 and the SH2 domain of STAT3, providing insights into the molecular basis for selective inhibition.
AI-Driven Discovery of Novel STAT3 Inhibitors for Fibrotic Diseases
Application of our proprietary deep learning platform to identify novel small molecule inhibitors targeting STAT3 with enhanced specificity and reduced off-target effects.
Preliminary Results of TTI-101 in Patients with Idiopathic Pulmonary Fibrosis
Interim analysis of the RENEW-IPF Phase 2 clinical trial demonstrating promising safety and efficacy signals in patients with IPF.
Research Timeline
A chronological journey of our key scientific publications
First STAT3 Structural Analysis
AI Platform Development
TTI-101 Preclinical Efficacy
Phase 1 Clinical Results
RENEW-IPF Interim Analysis
Impact & Metrics
Measuring our research influence across the scientific community
28
Total Publications
950+
Total Citations
12
Journal Covers
Research Collaborations
We actively seek partnerships with academic institutions, research organizations, and industry leaders to advance our understanding of disease mechanisms and accelerate therapeutic development.