Title:
ProTrek and SaprotHub: Enhancing Protein Research through Deep Learning Technology
Abstract:
ProTrek unifies protein sequence, structure and natural language function in a trimodal language model through contrastive learning, enabling comprehensive searches between any two modalities, including within modality. Computational and wet-lab experimental validations show that the ProTrek server (www.search-protrek.com), with precomputedembeddingsfor over 5 billion proteins, efficiently processes and analyzes large-scale protein repositories. Beyond direct use like ProTrek, training and deploying large-scale protein language models 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. Here 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.
About the speaker:
Jin Su is now a fourth-year Ph. D. candidate supervised by Prof. Fajie Yuan at Westlake University. He received his B.S. degree from Huazhong University of Science and Technology in 2022, where he worked with Prof. Wei Wei on the adversarial attack and defense for NLP models. Currently His research interests lie in the AI for protein, primarily focusing on the protein representation learning, multimodality and pre-training.
报告时间地点：
时间：2025/12/5 15:00-16:00
地点：#腾讯会议：314-907-018
