Evidence map›Paper›PMID 42562991›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

In Silico Methodology for Human Carboxylesterases 1 and 2 Isoforms Substrate Selectivity Study.

Sergio R Ribone

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Sergio R RiboneFacultad de Ciencias Químicas, Departamento de Ciencias Farmaceuticas, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Unidad de Investigacion y Desarrollo en Tecnología Farmacéutica (UNITEFA), Universidad Nacional de Córdoba, Ciudad Universitaria, Córdoba, Argentina. sribone@unc.edu.ar.ORCID http://orcid.org/0000-0002-5626-6719

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The two more relevant isoforms of human carboxylesterases (CES), CES1 and CES2, are responsible for catalyzing the hydrolysis of numerous approved drugs and prodrugs. Elucidating the substrate specificity of each CES isoform is a highly significant topic in medicinal chemistry. The general rule suggests that selectivity toward CES1 or CES2 depends on the relative sizes of the acyl and alkyl moieties present in the substrate structure; however, numerous exceptions to this trend have been reported. In this chapter, stepwise methodologies combining classical molecular mechanics (MM) and hybrid quantum mechanics/molecular mechanics (QM/MM) simulations are applied to support experimental enzymatic assays aimed at elucidating CES1 and CES2 substrate selectivity. The classical MM strategies are employed to investigate substrate binding affinity to the catalytic site (

Indexed as

CarboxylesteraseCarboxylic Ester HydrolasesCatalytic DomainComputer SimulationHumansHydrolysisMolecular Docking SimulationMolecular Dynamics SimulationQuantum MechanicsQuantum TheorySubstrate SpecificityThermodynamicsCarboxylesteraseCarboxylic Ester HydrolasesCES1 protein, humanCES2 protein, humanCES1CES2Classical MD simulationsFree-energy interaction analysisHuman carboxylesterasesHybrid QM/MM simulationsMolecular dockingSubstrates selectivity

Identifiers

PMID42562991

What OpenQuestion holds

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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.