LG Advances Drug Discovery with a Cutting-Edge AI for Protein Structure Prediction
On January 5th, LG AI Research officially entered a collaborative partnership with Professor Min-Kyung Baek, a distinguished figure in biological sciences from Seoul National University. This groundbreaking agreement, signed at LG Science Park located in Magok, Gangseo-gu, Seoul, sets the stage for the development of an innovative AI technology aimed at predicting protein structures, vital for drug discovery and the understanding of human biology. The ability to accurately predict protein structures is paramount since proteins are the fundamental components that drive all biological processes. They play a crucial role in various body functions and are deeply involved in the manifestation of diseases. The initiative aims to create what is being termed a 'digital cell map,' which could significantly accelerate the identification of disease pathways and the exploration of new treatment methodologies.
While AI technologies have made impressive strides in predicting single protein structures, the complexity of proteins in their multistate forms poses a formidable challenge. Multistate proteins can exist in various forms depending on environmental factors and chemical interactions, and accurately modeling these states has been elusive until now. Professor Baek, known for co-developing the influential RoseTTAFold model, brings invaluable expertise to this collaboration. His prior work in AI-driven protein structure prediction earned him recognition, including accolades connected to the recent Nobel Prize in Chemistry awarded to his colleague, Professor David Baker.
The research initiative is ambitious, with LG AI Research and Professor Baek's team aiming to have a functioning model for multistate protein structure prediction by the end of the year. The implications of such a breakthrough could be transformative, offering new insights into critical biological mechanisms—especially those underlying challenging issues like Alzheimer's disease. Professor Baek addressed the complexities involved in this realm by stating, 'While AI is exceedingly powerful as a predictive tool, our understanding of the principles governing these structures needs to be deepened.' His goal is to elevate protein structure prediction to new heights that incorporate validations through real-world experimentation.
Echoing this sentiment, Soonyoung Lee, head of the Bio Intelligence Lab at LG AI Research, emphasized the link between the complexity of protein structures and the intricacies of chronic illnesses like Alzheimer's. He metaphorically described their work as akin to unlocking a complex lock; by developing AI tools specifically tailored to predict multiple states of proteins, they foresee substantial advancements in comprehending disease mechanisms and subsequently, the creation of novel therapeutic solutions.
Additionally, LG's commitment to advancing healthcare innovation is underscored by its ongoing endeavors with The Jackson Laboratory, a renowned nonprofit organization focusing on genomics research. This partnership aims to harness predictive AI technology to enhance diagnostics and treatment strategies for Alzheimer's and various cancers. Koo Kwang-mo, the Chairman and CEO of LG Group, articulated his vision in his recent New Year address, stressing the importance of harnessing healthcare and innovative pharmaceuticals to enrich lives and foster relationships among families.
As LG embarks on this exciting venture, it highlights an essential intersection between artificial intelligence and biology, which the corporation deems crucial for its future growth strategy encompassing AI, biotechnology, and sustainable technology. The joint research with Professor Baek is anticipated to serve as a significant milestone that propels LG’s aspirations to intertwine cutting-edge technology with biological sciences, heralding a new era in drug discovery and healthcare solutions.
With LG Group’s rich historical background and commitment to innovation, this pursuit not only reiterates their dedication to improving human life but also solidifies their position as a leader at the forefront of technological advancements. As this collaboration evolves, the global healthcare industry may well stand to benefit substantially from the outcomes of their ambitious endeavors.