ArticleProceedings of the National Academy of Sciences of the United States of America2022
A general theory for temperature dependence in biology.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 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
44 citing papers in PubMed.
- Considering evolved heat tolerance helps predict the immunological consequences of climate change.Seminars in immunopathology · 2026Review
- Energy constraint on human health.Trends in endocrinology and metabolism: TEM · 2026Review
- Article
- Energy Allocation Explains How Protozoan Phenotypic Traits Change in Response to Temperature and Resource Supply.Ecology and evolution · 2026Article
- Reply to Arroyo et al.: Universality and diversity in thermal performance curves.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Explaining the universality of biological thermal responses.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A flexible model for thermal performance curves.Ecology · 2026Article
- Advances in Machine Learning Models for Predicting Enzyme Kinetic Parameters.Journal of chemical information and modeling · 2026Review
- Machine learning for enzyme catalytic activity: current progress and future horizons.Briefings in bioinformatics · 2026Review
- Article
- Toward a general understanding of thermal performance curves in biology.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- The energy resistance principle.Cell metabolism · 2025Review
- A universal thermal performance curve arises in biology and ecology.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Ice gliding diatoms establish record-low temperature limits for motility in a eukaryotic cell.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Mechanistic origins of temperature scaling in the early embryonic cell cycle.Nature communications · 2025Article
- Integrating metabolic scaling and coexistence theories.Ecology · 2025Review
- Seasonally variable thermal performance curves prevent adverse effects of heatwaves.The Journal of animal ecology · 2025Article
- Nutrient storage links past thermal exposure to current performance in phytoplankton.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Elevated Growth Temperature Modifies Drought and Shade Responses ofPlants (Basel, Switzerland) · 2025Article
- Seq2Topt: a sequence-based deep learning predictor of enzyme optimal temperature.Briefings in bioinformatics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
At present, there is no simple, first principles-based, and general model for quantitatively describing the full range of observed biological temperature responses. Here we derive a general theory for temperature dependence in biology based on Eyring-Evans-Polanyi's theory for chemical reaction rates. Assuming only that the conformational entropy of molecules changes with temperature, we derive a theory for the temperature dependence of enzyme reaction rates which takes the form of an exponential function modified by a power law and that describes the characteristic asymmetric curved temperature response. Based on a few additional principles, our model can be used to predict the temperature response above the enzyme level, thus spanning quantum to classical scales. Our theory provides an analytical description for the shape of temperature response curves and demonstrates its generality by showing the convergence of all temperature dependence responses onto universal relationships-a universal data collapse-under appropriate normalization and by identifying a general optimal temperature, around 25
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.