Molecular dynamics simulation based prediction of T-cell epitopes for the production of effector molecules for liver cancer immunotherapy.
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| Title: | Molecular dynamics simulation based prediction of T-cell epitopes for the production of effector molecules for liver cancer immunotherapy. |
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| Authors: | Zafar S; Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University Multan, Multan, Punjab, Pakistan., Bai Y; Department of Computer Science, Sorbonne University, Paris, France., Muhammad SA; Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University Multan, Multan, Punjab, Pakistan., Guo J; School of Intelligent Medical Engineering, Sanquan College of Xinxiang Medical University, Xinxiang, Henan, China., Khurram H; Department of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University, Pattani Campus, Pattani, Thailand.; Department of Sciences and Humanities, National University of Computer and Emerging Sciences, Chiniot, Punjab, Pakistan., Zafar S; Department of Biochemistry and Biotechnology, The Women University Multan, Multan, Punjab, Pakistan., Muqaddas I; Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University Multan, Multan, Punjab, Pakistan., Shaikh RS; Center for Applied Molecular Biology (CAMB), University of the Punjab, Lahore, Punjab, Pakistan., Bai B; School of Information and Technology, Wenzhou Business College, Wenzhou, Zhejiang, China.; Zhejiang Province Engineering Research Center of Intelligent Medicine, Wenzhou, China.; The 1st School of Medical, School of Information and Engineering, The 1st Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China. |
| Source: | PloS one [PLoS One] 2025 Jan 03; Vol. 20 (1), pp. e0309049. Date of Electronic Publication: 2025 Jan 03 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0309049 |
