Evidence map›Paper›PMID 37034407›Full record

ArticleRSC chemical biology2023

Straightforward model construction and analysis of multicomponent biomolecular systems in equilibrium.

Nick H J Geertjens, Pim J de Vink, Tim Wezeman, Albert J Markvoort, Luc Brunsveld

Abstract read
In one paragraph

Article in RSC chemical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Nick H J GeertjensLaboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Den Dolech 2 Eindhoven 5612 AZ The Netherlands l.brunsveld@tue.nl.ORCID https://orcid.org/0000-0001-8814-548X
Pim J de VinkLaboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Den Dolech 2 Eindhoven 5612 AZ The Netherlands l.brunsveld@tue.nl.ORCID https://orcid.org/0000-0001-6822-6995
Tim WezemanLaboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Den Dolech 2 Eindhoven 5612 AZ The Netherlands l.brunsveld@tue.nl.ORCID https://orcid.org/0000-0002-7899-1137
Albert J MarkvoortComputational Biology Group, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, P.O. Box 513 Eindhoven 5600 MB The Netherlands A.J.Markvoort@tue.nl.ORCID https://orcid.org/0000-0001-6025-9557
Luc BrunsveldLaboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Den Dolech 2 Eindhoven 5612 AZ The Netherlands l.brunsveld@tue.nl.ORCID https://orcid.org/0000-0001-5675-511X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mathematical modelling of molecular systems can be extremely helpful in elucidating complex phenomena in (bio)chemistry. However, equilibrium conditions in systems consisting of more than two components, such as for molecular glues bound to two proteins, can typically not be analytically determined without assumptions and (semi-)numerical models are not trivial to derive by the non-expert. Here we present a framework for equilibrium models, geared towards molecular glues and other contemporary multicomponent chemical biology challenges. The framework utilizes a general derivation method capable of generating custom mass-balance models for equilibrium conditions of complex molecular systems, based on the simple, reversible biomolecular reactions describing these systems. Several chemical biology concepts are revisited

Identifiers

PMID37034407
PMCPMC10074561

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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.