ml6team/ML6-UniKP · Apply for community grant: Company project (gpu)

Dear Hugging Face Team,

My name is Denis Topallaj, and currently doing an internship at ML6. I am reaching out to apply for a community GPU grant for the space ml6team/ML6-UniKP.

UniKP is a cutting-edge framework designed to predict enzyme kinetic parameters, such as enzyme turnover number (kcat), Michaelis constant (Km), and catalytic efficiency (kcat / Km), solely from protein sequences and substrate structures.

Currently, UniKP does not have a dedicated website, public model, server, or API for making predictions. The project is operating on a CPU with a lightweight model and tokenizer. To enhance the capabilities of UniKP and facilitate collaboration among biotechnicians, I am seeking the support of a community A10G GPU.

By leveraging the power of a GPU, UniKP can implement a more robust model and tokenizer, significantly improving prediction accuracy and efficiency. This upgrade will not only elevate the performance of UniKP, but also enable the framework to attract and engage a broader community of biotechnicians, fostering innovation and advancements in enzyme kinetics research.

I believe that with the assistance of a community GPU, the space ml6team/ML6-UniKP can make significant strides in the field of enzyme kinetics and contribute to the scientific community at large. Your consideration of this grant application would be greatly appreciated.

Thank you for your time and support.

Best regards,
Denis Topallaj

UniKP GitHub: https://github.com/Luo-SynBioLab/UniKP
UniKP Paper: https://www.nature.com/articles/s41467-023-44113-1
ML6: https://www.ml6.eu/