AI Article Synopsis
- Biomolecules display dynamic behavior that multi-state models better represent than single-state models, highlighting the need for understanding various conformations.
- Recent advancements in experimental methods, molecular dynamics simulations, and machine learning have enhanced our ability to study these multiple conformations of biomolecules.
- There are challenges in archiving these models, particularly NMR structures, and establishing standardized representations will improve communication and comprehension in the scientific community.
Article Abstract
Biomolecules exhibit dynamic behavior that single-state models of their structures cannot fully capture. We review some recent advances for investigating multiple conformations of biomolecules, including experimental methods, molecular dynamics simulations, and machine learning. We also address the challenges associated with representing single- and multiple-state models in data archives, with a particular focus on NMR structures. Establishing standardized representations and annotations will facilitate effective communication and understanding of these complex models to the broader scientific community.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10841472 | PMC |
| http://dx.doi.org/10.1016/j.sbi.2023.102703 | DOI Listing |
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