Evidence map›Paper›PMID 38563746›Full record

ArticleJournal of chemical theory and computation2024

SWISH-X, an Expanded Approach to Detect Cryptic Pockets in Proteins and at Protein-Protein Interfaces.

Alberto Borsatto, Eleonora Gianquinto, Valerio Rizzi, Francesco Luigi Gervasio

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Assessing the Performance of BioEmu in Understanding Protein Dynamics.International journal of molecular sciences · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Absolute Binding Free Energies with OneOPES.The journal of physical chemistry letters · 2024
    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.

Alberto BorsattoSchool of Pharmaceutical Sciences, University of Geneva, 1205 Geneva, Switzerland.ORCID 0000-0002-8889-6491
Eleonora GianquintoDepartment of Drug Science and Technology, University of Turin, 10125 Turin, Italy.
Valerio RizziSchool of Pharmaceutical Sciences, University of Geneva, 1205 Geneva, Switzerland.ORCID 0000-0001-5126-8996
Francesco Luigi GervasioSchool of Pharmaceutical Sciences, University of Geneva, 1205 Geneva, Switzerland.ORCID 0000-0003-4831-5039

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-protein interactions mediate most molecular processes in the cell, offering a significant opportunity to expand the set of known druggable targets. Unfortunately, targeting these interactions can be challenging due to their typically flat and featureless interaction surfaces, which often change as the complex forms. Such surface changes may reveal hidden (cryptic) druggable pockets. Here, we analyze a set of well-characterized protein-protein interactions harboring cryptic pockets and investigate the predictive power of current computational methods. Based on our observations, we developed a new computational strategy, SWISH-X (SWISH Expanded), which combines the established cryptic pocket identification capabilities of SWISH with the rapid temperature range exploration of OPES MultiThermal. SWISH-X is able to reliably identify cryptic pockets at protein-protein interfaces while retaining its predictive power for revealing cryptic pockets in isolated proteins, such as TEM-1 β-lactamase.

Indexed as

beta-LactamasesProteinsBinding SitesMolecular Dynamics SimulationProtein Bindingbeta-Lactamasesbeta-lactamase TEM-1Proteins

Identifiers

PMID38563746
PMCPMC11044271

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.