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Journal article
Exploring Nearest Neighbor Interactions and Their Influence on the Gibbs Energy Landscape of Unfolded Proteins and Peptides
International journal of molecular sciences, v 23(10), p5643
18 May 2022
PMID: 35628453
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The Flory isolated pair hypothesis (IPH) is one of the corner stones of the random coil model, which is generally invoked to describe the conformational dynamics of unfolded and intrinsically disordered proteins (IDPs). It stipulates, that individual residues sample the entire sterically allowed space of the Ramachandran plot without exhibiting any correlations with the conformational dynamics of its neighbors. However, multiple lines of computational, bioinformatic and experimental evidence suggest that nearest neighbors have a significant influence on the conformational sampling of amino acid residues. This implies that the conformational entropy of unfolded polypeptides and proteins is much less than one would expect based on the Ramachandran plots of individual residues. A further implication is that the Gibbs energies of residues in unfolded proteins or polypeptides are not additive. This review provides an overview of what is currently known and what has yet to be explored regarding nearest neighbor interactions in unfolded proteins.
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Details
- Title
- Exploring Nearest Neighbor Interactions and Their Influence on the Gibbs Energy Landscape of Unfolded Proteins and Peptides
- Creators
- Reinhard Schweitzer-Stenner - Drexel University
- Publication Details
- International journal of molecular sciences, v 23(10), p5643
- Publisher
- MDPI
- Grant note
- CHE 0804492 / National Science Foundation MCB-1817650 / National Science Foundation
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000801944200001
- Scopus ID
- 2-s2.0-85130186393
- Other Identifier
- 991019167865704721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biochemistry & Molecular Biology
- Chemistry, Multidisciplinary