ArticleAccounts of chemical research2025
Biological Polymers: Evolution, Function, and Significance.
Article in Accounts of chemical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Piperazine linked chitosan schiff base nanoparticles as a novel antibiofilm and antibacterial strategy against clinically relevant pathogens.Scientific reports · 2026Article
- Thermodynamic Frontiers in Hemoglobin-Inspired Polymer Science for Diagnosis and Modulation of Neurodegenerative Diseases.Cell biochemistry and function · 2026Review
- Adsorption-Based Mitigation of Azo Dye Toxicity: Removal of Direct Red 23 Using Amberlite XAD-4 Resin.Toxics · 2026Article
- The master molecule that built biology: How water shaped the chemistry of life.Protein science : a publication of the Protein Society · 2026Review
- Stringent selection on kinetics of condensation reactions: early steps in chemical evolution.Physical chemistry chemical physics : PCCP · 2026Article
- Revealing water-biopolymer interactions: Toward advanced water collection from air.Innovation (Cambridge (Mass.)) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A holistic description of biopolymers and their evolutionary origins will contribute to our understanding of biochemistry, biology, the origins of life, and signatures of life outside our planet. While biopolymer sequences evolve through known Darwinian processes, the origins of the backbones of polypeptides, polynucleotides, and polyglycans are less certain. We frame this topic through two questions: (i) Do the characteristics of biopolymer backbones indicate evolutionary origins? (ii) Are there reasonable mechanistic models of such pre-Darwinian evolutionary processes? To address these questions, we have established criteria to distinguish chemical species produced by evolutionary mechanisms from those formed by nonevolutionary physical, chemical, or geological processes. We compile and evaluate properties shared by all biopolymer backbones rather than isolating a single type. Polypeptide, polynucleotide, and polyglycan backbones are kinetically trapped and thermodynamically unstable in aqueous media. Each biopolymer forms a variety of elaborate assemblies with diverse functions, a phenomenon we call polyfunction. Each backbone changes structure and function upon subtle chemical changes such as the reduction of ribose or a change in the linkage site or stereochemistry of polymerized glucose, a phenomenon we call function-switching. Biopolymers display homo- and heterocomplementarity, enabling atomic-level control of structure and function. Biopolymer backbones access recalcitrant states, where assembly modulates kinetics and thermodynamics of hydrolysis. Biopolymers are emergent; the properties of biological building blocks change significantly upon polymerization. In cells, biopolymers compose mutualistic networks; a cell is an Amazon Jungle of molecules. We conclude that biopolymer backbones exhibit hallmarks of evolution. Neither chemical, physical, nor geological processes can produce molecules consistent with observations. We are faced with the paradox that Darwinian evolution relies on evolved backbones but cannot alter biopolymer backbones. This Darwinian constraint is underlined by the observation that across the tree of life, ribosomes are everywhere and always have been composed of RNA and protein. Our data suggest that chemical species on the Hadean Earth underwent non-Darwinian coevolution driven in part by hydrolytic stress, ultimately leading to biopolymer backbones. We argue that highly evolved biopolymer backbones facilitated a seamless transition from chemical to Darwinian evolution. This model challenges convention, where backbones are products of direct prebiotic synthesis. In conventional models, biopolymer backbones retain vestiges of prebiotic chemistry. Our findings, however, align with models where chemical species underwent iterative and recursive sculpting, selection, and exaptation. This model supports Orgel's "gloomy" prediction that modern biochemistry has discarded vestiges of prebiotic chemistry. But there is hope. We believe an understanding of biopolymer origins will progress during the challenging and exciting integration of chemical sciences and evolutionary theory. These efforts can provide new perspectives on pre-Darwinian mechanisms and can deepen our understanding of evolution and of chemical sciences. Our working definition of chemical evolution is continuous chemical change with exploration of new chemical spaces and avoidance of equilibrium. In alignment with our model, we observe chemical evolution in complex mixtures undergoing wet-dry cycling, which does appear to undergo continuous chemical change and exploration of new chemical spaces while avoiding equilibrium.
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.