ArticleNature communications2015
Predictive modelling-based design and experiments for synthesis and spinning of bioinspired silk fibres.
Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed, 148 citations in OpenAlex.
- Charting the envelope of mechanical properties of synthetic silk fibers through predictive modeling of the drawing process.Science advances · 2025Article
- The role of flow in the self-assembly of dragline spider silk proteins.Biophysical journal · 2023Article
- Secretion-Catalyzed Assembly of Protein Biomaterials on a Bacterial Membrane Surface.Angewandte Chemie (International ed. in English) · 2023Article
- Protein fibers with self-recoverable mechanical properties via dynamic imine chemistry.Nature communications · 2023Article
- Influence of experimental methods on the mechanical properties of silk fibers: A systematic literature review and future road map.Biophysics reviews · 2023Review
- Modeling and design of heterogeneous hierarchical bioinspired spider web structures using deep learning and additive manufacturing.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Microcompartmentalization Controls Silk Feedstock Rheology.Langmuir : the ACS journal of surfaces and colloids · 2023Article
- Silk Assembly against Hydrophobic Surfaces─Modeling and Imaging of Formation of Nanofibrils.ACS applied bio materials · 2023Article
- Advanced silk materials for musculoskeletal tissue regeneration.Frontiers in bioengineering and biotechnology · 2023Review
- Silk Fibroin as an Efficient Biomaterial for Drug Delivery, Gene Therapy, and Wound Healing.International journal of molecular sciences · 2022Review
- Complexity of Spider Dragline Silk.Biomacromolecules · 2022Review
- Stress Dissipation Encoded Silk Fibroin Electrode for the Athlete-Beneficial Silk Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Engineering Natural and Recombinant Silks for Sustainable Biodevices.Frontiers in chemistry · 2022Review
- Recent Advances in 3D Printing with Protein-Based Inks.Progress in polymer science · 2021Article
- A supertough electro-tendon based on spider silk composites.Nature communications · 2020Article
- Sonification basedAPL bioengineering · 2020Article
- Electrospinning Piezoelectric Fibers for Biocompatible Devices.Advanced healthcare materials · 2020Review
- Validating a Predictive Structure-Property Relationship by Discovery of Novel Polymers which Reduce Bacterial Biofilm Formation.Advanced materials (Deerfield Beach, Fla.) · 2019Article
- Inducible Fibril Formation of Silk-Elastin Diblocks.ACS omega · 2019Article
- Optimizing Blended Collagen-Fibrin Hydrogels for Cardiac Tissue Engineering with Human iPSC-derived Cardiomyocytes.ACS biomaterials science & engineering · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 4 countries.
Funding
Abstract
Scalable computational modelling tools are required to guide the rational design of complex hierarchical materials with predictable functions. Here, we utilize mesoscopic modelling, integrated with genetic block copolymer synthesis and bioinspired spinning process, to demonstrate de novo materials design that incorporates chemistry, processing and material characterization. We find that intermediate hydrophobic/hydrophilic block ratios observed in natural spider silks and longer chain lengths lead to outstanding silk fibre formation. This design by nature is based on the optimal combination of protein solubility, self-assembled aggregate size and polymer network topology. The original homogeneous network structure becomes heterogeneous after spinning, enhancing the anisotropic network connectivity along the shear flow direction. Extending beyond the classical polymer theory, with insights from the percolation network model, we illustrate the direct proportionality between network conductance and fibre Young's modulus. This integrated approach provides a general path towards de novo functional network materials with enhanced mechanical properties and beyond (optical, electrical or thermal) as we have experimentally verified.
Indexed as
Identifiers
What OpenQuestion holds
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.