Democratizing Protein Language Model Training, Sharing and Collaboration

Journal: bioRxiv
Published Date:

Abstract

Training and deploying large-scale protein language models typically requires deep machine learning expertise — a barrier for researchers outside this field. SaprotHub overcomes this challenge by offering an intuitive platform that facilitates training and prediction as well as storage and sharing of models. We provide the ColabSaprot framework built on Google Colab which potentially powers hundreds of protein training and prediction applications, enabling researchers to collaboratively build and share customized models.

Authors

  • Jin Su; Zhikai Li; Tianli Tao; Chenchen Han; Yan He; Fengyuan Dai; Qingyan Yuan; Yuan Gao; Tong Si; Xuting Zhang; Yuyang Zhou; Junjie Shan; Xibin Zhou; Xing Chang; Shiyu Jiang; Dacheng Ma; Martin Steinegger; Sergey Ovchinnikov; Fajie Yuan