Alphabet, the parent company of Google, has introduced a revolutionary tool called AlphaFold 3 that allows to understand the structure and interactions of molecules, such as proteins, DNA, RNA, or smaller molecules, with unprecedented precision and exceptional speed. This tool can predict how molecules interact quickly, saving time and resources for scientists to develop drugs and make significant scientific advances.
According to Google, AlphaFold 3 uses an enhanced version of Evoformer, a deep learning module architecture similar to the previous version, AlphaFold 2. This new system assembles predictions using a diffusion network that converts a cloud of atoms into an accurate molecular structure through multiple steps.
AlphaFold 3 has been featured in the scientific journal Nature and is already available for free for non-commercial research. This tool provides scientists with the ability to generate predictions about molecular structure regardless of their computational resources or experience in self-learning.
The ability of AlphaFold 3 to accurately model molecular interactions is crucial for understanding biology and advancing medicine. This new version of AlphaFold, developed by Google DeepMind, Alphabet's artificial intelligence division, is expected to significantly contribute to progress in various scientific areas, including biology and medicine.
