WATERTOWN, Mass.–(BUSINESS WIRE)–Seismic Therapeutic, Inc., the machine learning immunology company, today announced that the company will present preclinical data for its pan-immunoglobulin G (IgG) sculpting enzyme candidate, S-1117, at the American Academy of Neurology (AAN) annual meeting taking place on April 13-18 in Denver.
S-1117 is a novel engineered pan-IgG protease for the potential treatment of a range of chronic and acute autoantibody mediated diseases, including the chronic neuromuscular autoimmune disorder, myasthenia gravis. The presentation at the AAN annual meeting will outline key preclinical in vitro and in vivo results supporting the differentiated profile of S-1117 compared to therapeutic benchmarks in chronic autoantibody mediated diseases. S-1117 addresses multiple mechanisms of autoimmunity by lowering IgG and immune complex levels, reducing IgG effector functions and cleaving the antigen receptor (BCR) on memory B cells. Moreover, in a mouse pharmacokinetic model, S-1117 was able to achieve deep, sustained and rapid reduction in human IgG.
Presentation details:
Title: Preclinical Pharmacology of S-1117, a Novel Engineered Fc-fused IgG Cleaving Enzyme, for Chronic Treatment of Autoantibody-mediated Diseases
Session: P4 – Autoimmune Neurology: Peripheral Autoimmunity
Date: Monday, April 15, 2024
Time: 11:45 a.m. – 12:45 p.m. MT
Area: 14
Poster number: 018
Abstract number: 6869
About Seismic Therapeutic
Seismic Therapeutic™ is a biotechnology company making a major shift in how immunology therapies are discovered and developed, enabled by machine learning. The company has a growing preclinical stage best-in-class and first-in-class biologics pipeline, derived from its integrated IMPACT platform, to control dysregulated adaptive immunity and address multiple autoimmune diseases. The company is backed by a strong syndicate of life sciences investors and is located in the Boston biotechnology hub. For more information, please visit www.seismictx.com and follow us on LinkedIn and on X @Seismic_Tx.
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