BPGbio, Inc., a leading biology-first AI-powered biopharma that focuses on oncology, neurology, and rare diseases, announced the application of its NAi Interrogative Biology® Platform across several drug and diagnostic applications, following successful collaborations with Stanford University, University of Tennessee, Oak Ridge National Laboratory, and several leading hospitals across Mexico. The company will present four posters showcasing these research collaborations and provide updates on other internal research activities at the American Association for Cancer Research (AACR) Annual Meeting being held April 5-10, 2024, in San Diego, Calif.
Highlights from posters include:
- New data further validating the mitochondrial-centric effect of BPM31510 on the immune system. In addition to its direct cell-killing effect on tumor cells, data supports the potential use of BPM31510 in the intersection of tumor immunology and tumor metabolism
- BPGbio’s NAi Platform coupled with a subsequent deep learning algorithm implemented on BRG399, a novel pan-cancer drug candidate, can improve efficiency in drug development by rapidly predicting anti-cancer efficacy in silico before conducting resource intensive preclinical experiments
- A new study in Mexico further validating the utility of BPGbio’s prostate cancer biomarker, the pstateDx™ test, which was discovered by the NAi Platform, in an independent population
- New data validating UBE2M, a novel potential therapeutic target for cancer, identified by the NAi Platform.
“Our company has pioneered and proliferated a unique biology-first approach to the use of AI in drug discovery and development as we focus on high unmet disease indications,” said Niven R. Narain, Ph.D., President and CEO, BPGbio, Inc. “Our NAi Interrogative Biology platform has guided our development team via many successful research collaborations enabling us to deliver positive clinical trial readouts across multiple indications in various stages of development. Our goal is to offer potential and hope to patients and families facing ravaging diseases like GBM and pancreatic cancer.”
Presentation Details:
Abstract 3527: Application of deep learning-based drug sensitivity prediction model on a novel anticancer drug
Presentation: Monday, April 8, 2024, 1:30-5:00 p.m. in Poster Section 35
Abstract 3751: Diagnostic assessment of Filamin A (FLNA) as a serum biomarker for identification of benign prostatic hyperplasia vs. aggressive prostate cancer in a prospective Mexican cohort
Presentation: Monday, April 8, 2024, 1:30 – 5:00 p.m. in Poster Section 44
Abstract 4694: In charge: Targeting neddylation of UBE2M for anticancer therapy
Presentation: Tuesday, April 9, 2024, 9:00 a.m. – 12:30 p.m. in Poster Section 28
Abstract 6518: BPM31510: Targeting the tumor microenvironment (TME) via mitochondrial-mediated ROS production
Presentation: Tuesday, April 9, 2024, 1:30 – 5:00 p.m. in Poster Section 47
About the NAi Interrogative Biology Platform
The NAi Interrogative Biology Platform combines BPGbio’s industry-leading, clinically annotated proprietary biobank, purpose-built Bayesian artificial intelligence, and the compute power of the world’s fastest supercomputer, Frontier, housed at Oak Ridge National Laboratory. Collectively, these tools enable the company to bring artificial intelligence to biology inspiring AI-driven target nomination, discovery, molecule design, and more. The platform has been used to identify more than 100 drug targets and diagnostic biomarkers and supported research collaborations with a range of government, industry and academic partners including the U.S. Department of Defense, Sanofi, and Harvard Medical School.
SOURCE: Businesswire