ArticleFrontiers in molecular biosciences2022
The Energy Landscape Perspective: Encoding Structure and Function for Biomolecules.
Article in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- From latent dynamics to data geometry: Nonlinear diffusion modelling for protein structures.Computational and structural biotechnology journal · 2026Article
- Energy Landscapes and Structural Plasticity of Intrinsically Disordered Histones.Journal of chemical information and modeling · 2025Article
- Energy landscape analysis based on the Ising model: Tutorial review.PLOS complex systems · 2025Article
- Energy Landscapes and Structural Ensembles of Glucagon-like Peptide-1 Monomers.The journal of physical chemistry. B · 2024Article
- An encompassed representation of timescale hierarchies in first-order reaction network.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Protein conformational ensembles in function: roles and mechanisms.RSC chemical biology · 2023Review
- Building insightful, memory-enriched models to capture long-time biochemical processes from short-time simulations.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
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Authors and funding
2 authors.
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Abstract
The energy landscape perspective is outlined with particular reference to biomolecules that perform multiple functions. We associate these multifunctional molecules with multifunnel energy landscapes, illustrated by some selected examples, where understanding the organisation of the landscape has provided new insight into function. Conformational selection and induced fit may provide alternative routes to realisation of multifunctionality, exploiting the possibility of environmental control and distinct binding modes.
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Registered trials
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