TegMine and Boehringer Ingelheim Collaborate on Cancer Antibody System
TegMine Therapeutics has announced a strategic research and development collaboration with Boehringer Ingelheim to advance its novel 2-Factor Antibody System for cancer treatment, announced in a press release. This partnership aims to develop more selective and better-tolerated antibody-drug conjugates (ADCs) targeting up to three cancer antigens.
The collaboration will leverage TegMine's proprietary platform to discover tumor-specific glycan epitopes, which are largely absent in healthy tissues. The 2-Factor Antibody System requires dual glycan/protein-based recognition, enhancing specificity and efficacy while reducing toxicity. Initially, the program will focus on a clinically validated antigen, with the potential to expand to two additional targets.
Under the agreement, TegMine will receive an upfront payment, research funding per target, and a target option fee for each additional target. The company is also eligible for milestone payments and royalties on net sales for any products developed through this collaboration. Boehringer Ingelheim will hold global development and commercial rights for each target generated.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Life Sciences
Sep 30 Insilico Medicine Selects AI Designed Obesity Drug Candidate ISM1354 Sep 29 Truven launches MarketScan Snapshot for healthcare data checks Sep 29 Omega Healthcare Wins Gold in 2026 AI Breakthrough Awards Sep 29 Phylo Launches Target Atlas for Drug Target Prioritization Sep 29 ChromAgeNet Detects Aging Signs in Blood Stem Cell ImagesLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Basecamp Research Raises $140 Million for AI Designed Therapeutics
MediSights Reports Study Using AI Agents for Myeloma Market Research
AbbVie Partners With Valkai on AI Tools for Clinical Development
NAVER D2SF Backs ImpriMed in $10 Million Bridge Round
Tsingke Introduces Validation Workflow for AI Designed Proteins
Daily AI Brief: the AI news that matters, in your inbox.