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Updated: May 20, 2025

An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
CasPro-ESM2: Accurate identification of Cas proteins integrating pre-trained protein language model and multi-scale
Chaorui Yan1, Zilong Zhang1, Junlin Xu2
1School of Computer Science and Technology, Hainan University, Haikou 570228, China.
Abstract:
Cas proteins (CRISPR-associated protein) are the core components of the CRISPR-Cas system, playing critical roles in defending against foreign DNA and RNA invasions. Identifying Cas proteins can provide deeper insights into the immune mechanisms of the CRISPR-Cas system and help uncover the functional mechanisms of Cas proteins. In this study, we developed a computational tool named CasPro-ESM2, which combines the Pre-trained Protein Language Model ESM-2, multi-scale convolutional neural networks, and evolutionary information from protein sequences to identify Cas proteins. Experimental results demonstrate that CasPro-ESM2 outperforms existing models in Cas protein identification, achieving the highest values in metrics such as ACC, SP, SN, and MCC on two different datasets. Furthermore, we deployed this tool on a web server to enable direct access for users (http://www.bioai-lab.com/CasProESM-2).

