Evidence map›Paper›PMID 37974982›Full record

ReviewBiophysical reviews2023

Mathematical models describing oxygen binding by hemoglobin.

Igor A Lavrinenko, Gennady A Vashanov, José L Hernández Cáceres, Yury D Nechipurenko

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Igor A LavrinenkoDepartment of Human and Animal Physiology, Voronezh State University, Voronezh, 394018 Russia.ORCID 0000-0002-2570-7331
Gennady A VashanovDepartment of Human and Animal Physiology, Voronezh State University, Voronezh, 394018 Russia.ORCID https://orcid.org/0000-0001-9201-2057
José L Hernández CáceresCuban Neuroscience Center, 15202 Avenida 25, Playa, 11600 La Habana, Havana Cuba.ORCID https://orcid.org/0000-0002-4406-444X
Yury D NechipurenkoLaboratory of DNA-Protein Interactions, Engelhardt Institute of Molecular Biology of Russian Academy of Sciences, Moscow, 119991 Russia.ORCID https://orcid.org/0000-0002-6976-1655

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the fact that the investigation of the structural and functional properties of hemoglobin dates back more than 150 years, the topic has not lost its relevance today. The most important component of these studies is the development of mathematical models that formalize and generalize the mechanisms determining the cooperative binding of ligands based on data on the structural and functional state of the protein. In this work, we review the mathematical relationships describing oxygen binding by hemoglobin, ranging from the classical Hüfner, Hill, and Adair equations to the Szabo-Karplus and tertiary two-state mathematical models based on the Monod-Wyman-Changeux and Koshland-Némethy-Filmer concepts. The generality of the considered equations as mathematical functions, bearing in their basis a power dependence, is demonstrated. The problems and possible solutions related to approximation of experimental data by the oxygenation equations with correlated fitting parameters are noted. Attention is paid to empirical equations, extended versions of the Hill equation, where the coefficient of cooperation is modulated by Gauss and Lorentz distributions as functions of partial oxygen pressure.

Indexed as

Cooperative bindingHill equationKNFMathematical modelMWCOxygen binding by hemoglobinOxyhemoglobin dissociation curve

Identifiers

PMID37974982
PMCPMC10643423

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.