Evidence map›Paper›PMID 36147679›Full record

ArticleComputational and structural biotechnology journal2022

Concentration-dependent thermodynamic analysis of the partition process of small ligands into proteins.

Leonardo Cirqueira, Letícia Stock, Werner Treptow

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

3 authors.

Leonardo CirqueiraLaboratório de Biologia Teórica e Computacional (LBTC), Universidade de Brasília, DF CEP 70904-970, Brazil.
Letícia StockLaboratório de Biologia Teórica e Computacional (LBTC), Universidade de Brasília, DF CEP 70904-970, Brazil.
Werner TreptowLaboratório de Biologia Teórica e Computacional (LBTC), Universidade de Brasília, DF CEP 70904-970, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the category of functional low-affinity interactions, small ligands may interact with multiple protein sites in a highly degenerate manner. Better conceived as a partition phenomenon at the molecular interface of proteins, such low-affinity interactions appear to be hidden to our current experimental resolution making their structural and functional characterization difficult in the low concentration regime of physiological processes. Characterization of the partition phenomenon under higher chemical forces could be a relevant strategy to tackle the problem provided the results can be scaled back to the low concentration range. Far from being trivial, such scaling demands a concentration-dependent understanding of self-interactions of the ligands, structural perturbations of the protein, among other molecular effects. Accordingly, we elaborate a novel and detailed concentration-dependent thermodynamic analysis of the partition process of small ligands aiming at characterizing the stability and structure of the dilute phenomenon from high concentrations. In analogy to an "aggregate" binding constant of a small molecule over multiple sites of a protein receptor, the model defines the stability of the process as a macroscopic equilibrium constant for the partition number of ligands that can be used to analyze biochemical and functional data of two-component systems driven by low-affinity interactions. Acquisition of such modeling-based structural information is expected to be highly welcome by revealing more traceable protein-binding spots for non-specific ligands.

Indexed as

Cosolvent MDFlooding MDFree energy stabilityNon-specific low-affinity interactionsPartition coefficient

Identifiers

PMID36147679
PMCPMC9468351

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Registered trials

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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.