""When biopharma tries to create a drug candidate, they have all of these really nice prediction tools. You can add as many candidates as you want to the top of the funnel, but they all have to pass through this characterization process. Everything needs to be measured.""
""Understanding the structure of proteins is key for researchers developing biologic drugs, which are produced in living cells and use sophisticated design to specifically target diseases and conditions.""
""The most accurate way to assess molecules is through a complex technique called mass spectrometry, a way of determining their atomic structure by measuring them in an electric field.""
Google DeepMind's deep learning model has revolutionized protein structure prediction, crucial for drug development. However, a bottleneck exists in characterizing these candidates for testing and production. 10x Science, a startup founded in December 2025, aims to address this issue with a $4.8 million seed round. The founders, experienced biochemists and an AI expert, emphasize the need for precise measurement in drug candidate development. Mass spectrometry is highlighted as a key technique for accurately assessing molecular structures, despite the complexity of the data it generates.
Read at TechCrunch
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