ReviewBiomolecules2019
Integrative Approaches in Structural Biology: A More Complete Picture from the Combination of Individual Techniques.
Review in Biomolecules, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Single-Ion Imaging Native Mass Spectrometry: Unraveling the Structural Features and Dissociation Energetics of Macromolecular Assemblies.Journal of the American Society for Mass Spectrometry · 2026Article
- APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Special Issue "Computer-Aided Drug Discovery and Treatment".International journal of molecular sciences · 2024Article
- Enhancing protein dynamics analysis with hydrophilic polyethylene glycol cross-linkers.Briefings in bioinformatics · 2024Article
- Cell phenotypes can be predicted from propensities of protein conformations.Current opinion in structural biology · 2023Review
- Crystallisation and characterisation of muscle proteins: a mini-review.Journal of muscle research and cell motility · 2023Review
- Epitope Mapping and Binding Assessment by Solid-State NMR Provide a Way for the Development of Biologics under the Quality by Design Paradigm.Journal of the American Chemical Society · 2022Article
- Evaluation of the Higher Order Structure of Biotherapeutics Embedded in Hydrogels for Bioprinting and Drug Release.Analytical chemistry · 2021Article
- Integrative approaches in cryogenic electron microscopy: Recent advances in structural biology and future perspectives.iScience · 2021Review
- Advances in integrative structural biology: Towards understanding protein complexes in their cellular context.Computational and structural biotechnology journal · 2021Review
- Protein Footprinting: Auxiliary Engine to Power the Structural Biology Revolution.Journal of molecular biology · 2020Review
- High-throughput quantitative top-down proteomics.Molecular omics · 2020Review
- Spotlight on the Ballet of Proteins: The Structural Dynamic Properties of Proteins Illuminated by Solution NMR.International journal of molecular sciences · 2020Review
- Different Anomeric Sugar Bound States of Maltose Binding Protein Resolved by a Cytolysin A Nanopore Tweezer.ACS nano · 2020Article
- From integrative structural biology to cell biology.The Journal of biological chemistryReview
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the recent technological and computational advancements, structural biology has begun to tackle more and more difficult questions, including complex biochemical pathways and transient interactions among macromolecules. This has demonstrated that, to approach the complexity of biology, one single technique is largely insufficient and unable to yield thorough answers, whereas integrated approaches have been more and more adopted with successful results. Traditional structural techniques (X-ray crystallography and Nuclear Magnetic Resonance (NMR)) and the emerging ones (cryo-electron microscopy (cryo-EM), Small Angle X-ray Scattering (SAXS)), together with molecular modeling, have pros and cons which very nicely complement one another. In this review, three examples of synergistic approaches chosen from our previous research will be revisited. The first shows how the joint use of both solution and solid-state NMR (SSNMR), X-ray crystallography, and cryo-EM is crucial to elucidate the structure of polyethylene glycol (PEG)ylated asparaginase, which would not be obtainable through any of the techniques taken alone. The second deals with the integrated use of NMR, X-ray crystallography, and SAXS in order to elucidate the catalytic mechanism of an enzyme that is based on the flexibility of the enzyme itself. The third one shows how it is possible to put together experimental data from X-ray crystallography and NMR restraints in order to refine a protein model in order to obtain a structure which simultaneously satisfies both experimental datasets and is therefore closer to the 'real structure'.
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Registered trials
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