{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["43(6)"],"submitter":["Narang K"],"pubmed_abstract":["Salt-tolerant proteins, also known as halophilic proteins, have unique adaptations to function in high-salinity environments. These proteins have naturally evolved in extremophilic organisms, and more recently, are being increasingly applied as enzymes in industrial processes. Due to an abundance of salt-tolerant sequences and a simultaneous lack of experimental structures, most computational methods to predict stability are sequence-based only. These approaches, however, are hindered by a lack of structural understanding of these proteins. Here, we present HaloClass, an SVM classifier that leverages ESM-2 protein language model embeddings to accurately identify salt-tolerant proteins. On a newer and larger test dataset, HaloClass outperforms existing approaches when predicting the stabili"],"journal":["The protein journal"],"pagination":["1035-1044"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11543744"],"repository":["biostudies-literature"],"pubmed_title":["HaloClass: Salt-Tolerant Protein Classification with Protein Language Models."],"pmcid":["PMC11543744"],"pubmed_authors":["Chu SKS","Hemstrom W","Narang K","Nath A"],"additional_accession":[]},"is_claimable":false,"name":"HaloClass: Salt-Tolerant Protein Classification with Protein Language Models.","description":"Salt-tolerant proteins, also known as halophilic proteins, have unique adaptations to function in high-salinity environments. These proteins have naturally evolved in extremophilic organisms, and more recently, are being increasingly applied as enzymes in industrial processes. Due to an abundance of salt-tolerant sequences and a simultaneous lack of experimental structures, most computational methods to predict stability are sequence-based only. These approaches, however, are hindered by a lack of structural understanding of these proteins. Here, we present HaloClass, an SVM classifier that leverages ESM-2 protein language model embeddings to accurately identify salt-tolerant proteins. On a newer and larger test dataset, HaloClass outperforms existing approaches when predicting the stabili","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Dec","modification":"2026-06-02T22:07:35.631Z","creation":"2025-04-04T02:58:25.033Z"},"accession":"S-EPMC11543744","cross_references":{"pubmed":["39432175"],"doi":["10.1007/s10930-024-10236-7"]}}