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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.
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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PubType: Academic Journal
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  Data: Heuristic multi-site optimization for protein sequence design using Masked Protein Language Models.
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  Data: <searchLink fieldCode="AU" term="%22Wang+L%22">Wang L</searchLink>; School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; School of Computer Science and Technology, Harbin Institute of Technology, Weihai, Shandong, China.<br /><searchLink fieldCode="AU" term="%22Qiu+C%22">Qiu C</searchLink>; School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Xiao+L%22">Xiao L</searchLink>; School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Liu+X%22">Liu X</searchLink>; School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Chen+J%22">Chen J</searchLink>; School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China.
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  Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2026 Jun 05; Vol. 22 (6), pp. e1014365. <i>Date of Electronic Publication: </i>2026 Jun 05 (<i>Print Publication: </i>2026).
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  Data: Journal Article; Research Support, Non-U.S. Gov't
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101238922 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1553-7358 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221553734X%22">1553734X </searchLink><i>NLM ISO Abbreviation: </i>PLoS Comput Biol <i>Subsets: </i>MEDLINE
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        Value: 10.1371/journal.pcbi.1014365
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      – Code: eng
        Text: English
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      – TitleFull: Heuristic multi-site optimization for protein sequence design using Masked Protein Language Models.
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              Text: 2026 Jun 05
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