Structured Entropy Analysis (SEA): A computational framework for latent biomolecular insights beyond conventional descriptors in molecular dynamics simulations.
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| Title: | Structured Entropy Analysis (SEA): A computational framework for latent biomolecular insights beyond conventional descriptors in molecular dynamics simulations. |
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| Authors: | Nettey-Oppong EE; Department of Biomedical Engineering, Yonsei University, Wonju, South Korea. Electronic address: ezekieledward@yonsei.ac.kr., Mensah EE; Department of Materials Science and Engineering, Egypt-Japan University of Science and Technology, Alexandria, Egypt., Badasu PP; Department of Computer Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana., Akromah S; Bristol Composites Institute, School of Civil, Aerospace, and Design Engineering, University of Bristol, Bristol, UK., Asare E; Department of Materials Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana., Nartey MA; Department of Materials Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. |
| Source: | Journal of molecular graphics & modelling [J Mol Graph Model] 2026 Jun; Vol. 145, pp. 109338. Date of Electronic Publication: 2026 Feb 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Science, Inc Country of Publication: United States NLM ID: 9716237 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4243 (Electronic) Linking ISSN: 10933263 NLM ISO Abbreviation: J Mol Graph Model Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1873-4243 |
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| DOI: | 10.1016/j.jmgm.2026.109338 |
