Evidence map›Paper›PMID 36349538›Full record

ReviewJournal of separation science2023

Prediction of peptides retention behavior in reversed-phase liquid chromatography based on their hydrophobicity.

Othman Al Musaimi, Oscar M Mercado Valenzo, Daryl R Williams

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of separation science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
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

10 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Quantification of Peptides in Food Hydrolysate fromFoods (Basel, Switzerland) · 2025
    Article
  6. Current pharmaceutical biotechnology · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. 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 at 1 institution in 1 country.

Othman Al MusaimiDepartment of Chemical Engineering, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-2421-1825
Oscar M Mercado ValenzoDepartment of Chemical Engineering, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-9494-535X
Daryl R WilliamsDepartment of Chemical Engineering, Imperial College London, London, UK.ORCID https://orcid.org/0000-0001-5626-5903
Imperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrophobicity is an important physicochemical property of peptides and proteins. It is responsible for their conformational changes, stability, as well as various chemical intramolecular and intermolecular interactions. Enormous efforts have been invested to study the extent of hydrophobicity and how it could influence various biological processes, in addition to its crucial role in the separation and purification endeavor as well. Here, we have reviewed various studies that were carried out to determine the hydrophobicity starting from (i) simple amino acids solubility behavior, (ii) experimental approach that was undertaken in the reversed-phase liquid chromatography mode, and ending with (iii) some examples of more advanced computational and machine learning models.

Indexed as

Chromatography, Reverse-PhasePeptidesChromatography, High Pressure LiquidHydrophobic and Hydrophilic InteractionsProteinsPeptidesProteinshydrophobicitymachine learningpeptidesretention behavior

Identifiers

PMID36349538
PMCPMC10098489
OpenAlexW4308635953

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.