A team of researchers has built a new protein sequencing workflow that pairs mirror proteases with deep learning software to ...

Researchers have developed a framework that uses machine learning to accelerate the search for new proton-conducting materials, that could potentially improve the efficiency of hydrogen fuel cells.

Figure 1. This figure depicts the four categories of protein druggability target screening tools discussed in this section, which include structure-based methods, sequence-based methods, machine ...

Machine learning models trained on molecular quadrupole moments predict electrostatic potentials rapidly, enabling faster ...