In CASP14, DeepMind presented the results of AlphaFold, a deep neural network designed for protein structure prediction. During the experiment, AlphaFold predicted structures with an
This week we discuss a new paper from the creators and authors of EquiDock [see our related blog on EquiDock that explores “Independent SE[3] Equivariant Models for End-to-End
The year 2021 was a Pandora’s Box for machine learning in chemistry. DeepMind put the chemistry world on notice when it published its approach to the protein
Today we break down a paper recently accepted for publication at ICLR 2022: “Independent SE(3) Equivariant Models for End-to-End Rigid Docking” [1]. Docking is the
Recent advances in computational chemistry have modeled non-covalent chemical interactions like protein folding with increasing accuracy [1]. But for chemical reactions that involve bond-breaking and
The European Lab for Learning and Intelligent Systems [ELLIS] recently held a workshop on “Machine Learning for Molecular Discovery” in conjunction with NeurIPS 2021. Highlights
The Internet of Things (IoT) is connecting more and more devices. Read this post to understand how ZONTAL helps effectively manage the flood of data produced. Pharmaceutical companies have
Read this post to understand how the recently implemented General Protection Data Regulation (GDPR) keeps clinical data safe, and how the right data management tools help companies stay compliant.
People often make decisions by relying on intuition, which at times leads to costly mistakes. Read this post to understand how to overcome this very
Data is the most valuable commodity of the digital age; therefore, you need to treat it well. Read this post to learn how to make
