The Revenir™ Product Engine
We have created a purpose-built computational drug discovery engine called Revenir™, which captures the biophysical changes caused by mutations in proteins. By examining surface features and numerous biophysical descriptors of both the mutated and wild-type proteins, we build an understanding of that defect and how to correct it.
Reveal
By modeling protein dynamics in new ways, we reveal hidden features on proteins
Dynamic Pocket Hunting
Reproducibly capture allosteric and cryptic pockets with the potential to revert the disease state
Achieve Congruence
Apply real-time ligand-based correction to predict small molecule hits with the potential to correct the disease state
Test
Compound predicted by Revenir™ seamlessly progress from the dry lab to the wet lab for Hit-Lead-Generation
Advantages of Revenir™
The Revenir™ Engine significantly improves on the historical drug discovery process.
Avoids need for high throughput screening
Rapid Identification of Functional Pockets
Robust Identification of Novel Chemical Matter
Unprecedented Hit Rates
Reduction in Time and Cost
Pipeline
Congruence’s pipeline represents both first-in-class and best-in-class potential to address significant
unmet medical needs in a number of high value indications.
Preclinical Results Support our Expanding Pipeline
CGX-926, an MC4R corrector for MC4R-deficient severe obesity
- MC4R-d the most common cause of monogenic obesity, is associated with severe hyperphagia and obesity, affecting ~100,000 patients in the US.
- MC4R-d is caused by heterozygous and homozygous partial loss-of-function mutations in MC4R that lead to receptor misfolding and impaired trafficking to the cell surface of neurons in the paraventricular nucleus of the hypothalamus.
- CGX-926 is an orally active, small-molecule corrector that restores proper folding, trafficking, and function of mutated MC4R, addressing the root cause of the disease.
- CGX-926 reduces body weight and hyperphagia in a mouse MC4R-d model of obesity and has the potential to address the key clinical manifestations of MC4R-d in human patients.
Targeting GCase for Parkinson’s Disease
- Heterozygous mutations in the GBA1 gene, which encodes glucocerebrosidase (GCase), are the most common genetic risk factor for Parkinson’s disease, with a US prevalence of ~100,000 patients.
- GBA1 mutations (including L444P, N370S and E326K) cause GCase misfolding and lysosomal GCase deficiency, which disrupt lipid homeostasis, leading to accumulation and aggregation of alpha-synuclein in dopaminergic neurons.
- Congruence has discovered a series of orally active and brain-penetrant small-molecule pharmacological activators of GCase (e.g., CO-1) that activate lysosomal GCase activity in patient-derived dopaminergic neurons and in a mouse GBA-1 mutant animal model.
- GCase activators and correctors discovered by Congruence have the potential to be disease-modifying and to slow progression of GBA-PD.
A1AT Correctors for A1AT Deficiency (AATD)
- Homozygous mutations (E242K) in the SERPINA1 gene, which encodes alpha-1 antitrypsin (A1AT), lead to AATD, affecting ~80,000 to 100,000 patients in the US and causing both liver and lung disease.
- Mutant A1AT protein (Z-AAT) is misfolded and polymerizes in hepatocytes, driving liver disease, while decreased circulating Z-AAT renders the lung susceptible to elastin breakdown and causes lung disease.
- Congruence has discovered orally active small-molecule A1AT correctors (e.g., CO-2) that stabilize mutant Z-AAT, prevent its polymerization in hepatocytes, and increases secretion of functional Z-AAT in plasma in cellular assays and a mouse transgenic model of AATD.
- A1AT correctors discovered by Congruence have the potential to decrease the risk of liver fibrosis and lung emphysema in patients with AATD.
Publications
- Collaborative evaluation of in silico predictions for high throughput toxicokineticsJohn F. Wambaugh, Nisha S. Sipes, Gilberto Padilla Mercado, Jon A. Arnot, Linda Bertato, Trevor N. Brown, Nicola Chirico, Christopher Cook, Daniel E. Dawson, Sarah E. Davidson-Fritz, Stephen S. Ferguson, Michael-Rock Goldsmith, Chris M. Grulke, Richard S. Judson, Kamel Mansouri, Grace Patlewicz, Ester Papa, Prachi Pradeep, Alessandro Sangion, Risa R. Sayre, Russell S. Thomas, Rogelio Tornero-Velez, Barbara A. Wetmore, Michael J. Devito
- Congruence Therapeutics: finding a fix for misfolded proteinsMichael Eisenstein
- Quantitative Structure-Activity Relationship (QSAR) modeling to predict the transfer of environmental chemicals across the placentaLaura Lévêque, Nadia Tahiri, Michael-Rock Goldsmith, Marc-André Verner
- AMBER free energy tools: a new framework for the design of optimized alchemical transformation pathwaysHsu-Chun Tsai, Tai-Sung Lee, Abir Ganguly, Timothy J. Giese, Maximilian CCJC Ebert, Paul Labute, Kenneth M. Merz, Jr., and Darrin M. York
- From Protein Sequence to Structure: The Next Frontier in Cross Species Extrapolation for Chemical Safety EvaluationsCarlie A. LaLone, Donovan J. Blatz, Marissa A. Jensen, Sara M.F. Vliet, Sally Mayasich, Kali Z. Mattingly, Thomas R. Transue, Wilson Melendez, Audrey Wilkinson, Cody W. Simmons, Carla Ng, Chengxin Zhang, Yang Zhang







