Private experimental data from 5 pharmaceutical companies improves the prediction accuracy of protein AI

Utilizing over 20,000 private structures for training—a mechanism to use collaboratively developed AI while keeping ...
Phys.org

Four labs find experimental differences can undermine AI catalyst predictions

To turn abundant carbon dioxide into valuable fuel, we need a fast and efficient way to determine which catalysts work best over the longest time. AI models have the potential to help guide catalyst ...
Managingip.com

Supplementary experimental data acceptance criteria in pharmaceutical patent grant and confirmation procedures

Linlin Sun and Xia Zheng of AFD China Intellectual Property Law Office cite two key Chinese Supreme People’s Court cases to clarify the conditions under which supplementary experimental data is ...
Simons Foundation

Introducing ROCKET: An Upgrade to AlphaFold That Learns From Raw Experimental Data

A new software tool called ROCKET is giving the Nobel Prize-winning AI-powered AlphaFold a serious upgrade in its ability to predict how proteins fold. Proteins are the workhorses of our cells, and ...
Managingip.com

Too much information or not quite enough? Experimental data in Indian patent applications

Aparna Kareer and Sneha Agarwal of Obhan & Associates discuss the provisions of Indian patent law under which experimental data is required, the nature of the data and submission stages Experimental ...