Heuristic multi-site optimization for protein sequence design using Masked Protein Language Models.
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| Title: | Heuristic multi-site optimization for protein sequence design using Masked Protein Language Models. |
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| Authors: | Wang L; School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China., Wang Y; School of Computer Science and Technology, Harbin Institute of Technology, Weihai, Shandong, China., Qiu C; School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China., Xiao L; School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China., Liu X; School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China., Chen J; School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2026 Jun 05; Vol. 22 (6), pp. e1014365. Date of Electronic Publication: 2026 Jun 05 (Print Publication: 2026). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1014365 |
