ArticleeLife2023
Reconstructing the transport cycle in the sugar porter superfamily using coevolution-powered machine learning.
Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 23 citations in OpenAlex.
- Substrate binding reorganizes the energetic landscape of Plasmodium falciparum hexose transporter PfHT1.bioRxiv : the preprint server for biology · 2026Article
- Conformational Dynamics of NaJournal of chemical information and modeling · 2026Article
- A two-step mechanism for sugar translocation.Nature structural & molecular biology · 2026Article
- Structural bases of signal generation and transduction by the SPS amino acid sensor of Saccharomyces cerevisiae.G3 (Bethesda, Md.) · 2026Article
- Advanced Computational Methods in Protein Simulations: A Case Study of Enhanced Sampling Applied to Membrane Transporters.Advances in experimental medicine and biology · 2026Review
- Identification of New Key Players for Ferrous Iron Export in the Asymmetric Inner Gate of Human Ferroportin 1.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
- Using Machine Learning to Analyze Molecular Dynamics Simulations of Biomolecules.The journal of physical chemistry. B · 2025Article
- Comparative analysis of STP6 and STP10 unravels molecular selectivity in sugar transport proteins.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Diversity, expression, and structural modeling of sugar transporters inFrontiers in cellular and infection microbiology · 2025Article
- Article
- ATP-Binding Cassette and Solute Carrier Transporters: Understanding Their Mechanisms and Drug Modulation Through Structural and Modeling Approaches.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Peripheral positions encode transport specificity in the small multidrug resistance exporters.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The full spectrum of SLC22 OCT1 mutations illuminates the bridge between drug transporter biophysics and pharmacogenomics.Molecular cell · 2024Article
- The full spectrum of SLC22 OCT1 mutations illuminates the bridge between drug transporter biophysics and pharmacogenomics.Molecular cell · 2024Article
- Review
- Structural and biochemical insights of xylose MFS and SWEET transporters in microbial cell factories: challenges to lignocellulosic hydrolysates fermentation.Frontiers in microbiology · 2024Review
- Coevolution-Driven Method for Efficiently Simulating Conformational Changes in Proteins Reveals Molecular Details of Ligand Effects in the β2AR Receptor.The journal of physical chemistry. B · 2023Article
- Targeting SLC transporters: small molecules as modulators and therapeutic opportunities.Trends in biochemical sciences · 2023Review
- Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sugar porters (SPs) represent the largest group of secondary-active transporters. Some members, such as the glucose transporters (GLUTs), are well known for their role in maintaining blood glucose homeostasis in mammals, with their expression upregulated in many types of cancers. Because only a few sugar porter structures have been determined, mechanistic models have been constructed by piecing together structural states of distantly related proteins. Current GLUT transport models are predominantly descriptive and oversimplified. Here, we have combined coevolution analysis and comparative modeling, to predict structures of the entire sugar porter superfamily in each state of the transport cycle. We have analyzed the state-specific contacts inferred from coevolving residue pairs and shown how this information can be used to rapidly generate free-energy landscapes consistent with experimental estimates, as illustrated here for the mammalian fructose transporter GLUT5. By comparing many different sugar porter models and scrutinizing their sequence, we have been able to define the molecular determinants of the transport cycle, which are conserved throughout the sugar porter superfamily. We have also been able to highlight differences leading to the emergence of proton-coupling, validating, and extending the previously proposed latch mechanism. Our computational approach is transferable to any transporter, and to other protein families in general.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.