Nanyang Biologics Pte. Ltd. has entered a $1.5 billion business combination agreement with RF Acquisition Corp II, a Nasdaq-listed special purpose acquisition company. Singapore-based Nanyang Biologics (NYB) is building a hybrid platform to revolutionize drug discovery by combining machine learning with natural compound libraries, and NYB claims it is developing one of the world’s largest AI-curated collections of bioactive compounds.
Pharma companies are collaborating to boost the power of artificial intelligence (AI) in drug discovery by allowing access to proprietary structural data to train a large language model. Each of the partners is contributing data from several thousand experimentally determined protein:ligand interactions, creating one of the most diverse datasets and the richest chemistry assembled to date for model training.
Pharma companies are collaborating to boost the power of artificial intelligence (AI) in drug discovery by allowing access to proprietary structural data to train a large language model.
Artificial intelligence is no longer just a supporting tool in biotechnology – it is beginning to define the way drugs are discovered, tested and advanced into the clinic, speakers said during the Bio Hong Kong conference Sept. 10 to 13.
Artificial intelligence is no longer just a supporting tool in biotechnology – it is beginning to define the way drugs are discovered, tested and advanced into the clinic, speakers said during the Bio Hong Kong conference Sept. 10 to 13.
Charm Therapeutics Ltd. is heading to the clinic after closing an oversubscribed series B, which will fund initial development of a menin inhibitor that is AI-designed to circumvent shortcomings of first-generation molecules.
Roche AG subsidiary Chugai Pharmaceutical Co. Ltd. and Singapore’s Gero Pte. Ltd. plan to tackle age-related diseases by collaborating to identify drug targets through Gero’s AI-driven human data-first platform.
Roche AG subsidiary Chugai Pharmaceutical Co. Ltd. and Singapore’s Gero Pte. Ltd. plan to tackle age-related diseases by collaborating to identify drug targets through Gero’s AI-driven human data-first platform.
For years, the biopharma industry has spent increasing amounts of money on R&D without improving success rates, leaving many executives searching for new, more predictable drug development paths.
Researchers at the Massachusetts Institute of Technology and Recursion Pharmaceuticals Inc. have released an open-source AI model that can predict the binding strength of small molecules as well as structures of proteins and biomolecular complexes. The model, which is called Boltz-2 and was released by the research team on the developer platform Github on June 6, addresses a major bottleneck in drug discovery with its improved ability to predict binding strengths.
