ReviewBiomaterials2012
A review of combined experimental and computational procedures for assessing biopolymer structure-process-property relationships.
Review in Biomaterials, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed.
- Challenges and Vision for Standardization of Biopolymer Data Sets for Machine Learning.Biomacromolecules · 2026Review
- Bioarchitectural Design of Bioactive Biopolymers: Structure-Function Paradigm for Diabetic Wound Healing.Biomimetics (Basel, Switzerland) · 2024Review
- ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a language diffusion model.Science advances · 2024Article
- Generative design ofChem · 2023Article
- Unsupervised cross-domain translation via deep learning and adversarial attention neural networks and application to music-inspired protein designs.Patterns (New York, N.Y.) · 2023Article
- Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- ColGen: An end-to-end deep learning model to predict thermal stability of de novo collagen sequences.Journal of the mechanical behavior of biomedical materials · 2022Article
- Atomistic Simulation of Water Incorporation and Mobility inACS omega · 2021Article
- Spontaneous reversal of stenosis in tissue-engineered vascular grafts.Science translational medicine · 2020Article
- Self-assembly in elastin-like recombinamers: a mechanism to mimic natural complexity.Materials today. Bio · 2019Review
- Silk fibroin micro-particle scaffolds with superior compression modulus and slow bioresorption for effective bone regeneration.Scientific reports · 2018Article
- Functional and Biomimetic Materials for Engineering of the Three-Dimensional Cell Microenvironment.Chemical reviews · 2017Review
- Predicting Silk Fiber Mechanical Properties through Multiscale Simulation and Protein Design.ACS biomaterials science & engineering · 2017Article
- The fibrous cellular microenvironment, and how cells make sense of a tangled web.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Introducing biomimetic shear and ion gradients to microfluidic spinning improves silk fiber strength.Biofabrication · 2017Article
- Synergistic Integration of Experimental and Simulation Approaches for the de Novo Design of Silk-Based Materials.Accounts of chemical research · 2017Review
- Secondary Structure Adopted by the Gly-Gly-X Repetitive Regions of Dragline Spider Silk.International journal of molecular sciences · 2016Article
- Glycerin-Induced Conformational Changes in Bombyx mori Silk Fibroin Film Monitored by (13)C CP/MAS NMR and ¹H DQMAS NMR.International journal of molecular sciences · 2016Article
- Matriarch: A Python Library for Materials Architecture.ACS biomaterials science & engineering · 2015Article
- Silk-Its Mysteries, How It Is Made, and How It Is Used.ACS biomaterials science & engineering · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Tailored biomaterials with tunable functional properties are desirable for many applications ranging from drug delivery to regenerative medicine. To improve the predictability of biopolymer materials functionality, multiple design parameters need to be considered, along with appropriate models. In this article we review the state of the art of synthesis and processing related to the design of biopolymers, with an emphasis on the integration of bottom-up computational modeling in the design process. We consider three prominent examples of well-studied biopolymer materials - elastin, silk, and collagen - and assess their hierarchical structure, intriguing functional properties and categorize existing approaches to study these materials. We find that an integrated design approach in which both experiments and computational modeling are used has rarely been applied for these materials due to difficulties in relating insights gained on different length- and time-scales. In this context, multiscale engineering offers a powerful means to accelerate the biomaterials design process for the development of tailored materials that suit the needs posed by the various applications. The combined use of experimental and computational tools has a very broad applicability not only in the field of biopolymers, but can be exploited to tailor the properties of other polymers and composite materials in general.
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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.