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Synergizing sequence and structure representations to predict protein variants
Cell Research ( IF 28.1 ) Pub Date : 2024-08-01 , DOI: 10.1038/s41422-024-01010-6 Tong Chen 1 , Pranam Chatterjee 1, 2, 3
更新日期：2024-08-01
Cell Research ( IF 28.1 ) Pub Date : 2024-08-01 , DOI: 10.1038/s41422-024-01010-6 Tong Chen 1 , Pranam Chatterjee 1, 2, 3
Affiliation
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In a new study published in Cell Research, Chinese researchers have trained ProMEP, a multimodal protein representation model that enables accurate, zero-shot prediction of mutation effects in proteins. Without utilizing multiple sequence alignments, the model uniquely integrates sequence and structural information to both model and predict mutational consequences and prioritize beneficial mutations to improve protein activity, motivating its usage for diverse protein engineering and biotechnology applications.
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