LG AI Research Institute has partnered with biopharmaceutical company D&D Pharmatech to develop next-generation peptide drugs using artificial intelligence (AI). The collaboration aims to reduce drug development time and costs while increasing the success rate of clinical trials through AI-based molecular design technology.
On June 16, LG AI Research Institute announced the signing of a formal contract with D&D Pharmatech for the joint development of peptide drugs at LG Twin Tower in Yeouido, Seoul.
The event was attended by Im Woo-hyung, head of LG AI Research Institute; Lee Hwa-young, head of business development; Jang Jong-sung, head of the Bio-Intelligence Lab; as well as Lee Seul-ki, CEO of D&D Pharmatech; Hong Sung-hoon, vice president; and Park Eun-ji, head of research and development.
Peptides are bioactive substances made up of short chains of amino acids that play a role in regulating various physiological functions in the body. The two companies plan to jointly develop oral treatments that improve the safety and absorption rates of peptides, focusing on innovative drug development for difficult diseases and precision medicine.
LG AI Research Institute will utilize AI to analyze the structures of disease-causing substances and design optimal peptide sequences that are difficult to discover using traditional methods, thereby identifying potential drug candidates. D&D Pharmatech will handle the structural design, synthesis, and evaluation of the candidates derived from AI, applying its proprietary drug delivery technology to develop oral formulations and conduct preclinical and clinical trials, as well as global regulatory approvals.
Both companies expect that AI-based molecular design technology will enhance the efficiency of drug candidate discovery, shorten development time and costs, and improve the clinical success rates of peptide drugs.
LG AI Research Institute has completed patent registration for the core technologies of its AI-based new material development platform, 'Exaone Discovery,' which will be utilized in drug development research.
* This article has been translated by AI.
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