Evidence map›Paper›PMID 36008829›Full record

ArticleJournal of cheminformatics2022

FPocketWeb: protein pocket hunting in a web browser.

Yuri Kochnev, Jacob D Durrant

Abstract read
In one paragraph

Article in Journal of cheminformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  7. Unique structural and ligand-binding properties of theProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Article
  9. Computational Ligand-Binding Site Prediction.Advances in experimental medicine and biology · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Unique structural and ligand binding properties of thebioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

2 authors.

Yuri KochnevDepartment of Biological Sciences, University of Pittsburgh, 15260, Pittsburgh, PA, USA.
Jacob D DurrantDepartment of Biological Sciences, University of Pittsburgh, 15260, Pittsburgh, PA, USA. durrantj@pitt.edu.

Funding

Advancing drug-lead and chemical-probe discovery using weighted-ensemble simulations and biophysical validationR01GM132353 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DURRANT, JACOB D · 2019 to 2023
$1.7M
NIGMS NIH HHS R01 GM132353NIGMS NIH HHS R01GM132353
6 · The paper itself

Abstract

Detecting macromolecular (e.g., protein) cavities where small molecules bind is an early step in computer-aided drug discovery. Multiple pocket-detection algorithms have been developed over the past several decades. Among them, fpocket, created by Schmidtke and Le Guilloux, is particularly popular. Like many programs used in computational-biology research, fpocket requires users to download and install an executable file. That file must also be run via a command-line interface, further complicating use. An existing fpocket server application effectively addresses these challenges, but it requires users to upload their possibly proprietary structures to a third-party server. The FPocketWeb web app builds on this prior work. It runs the fpocket3 executable entirely in a web browser without requiring installation. The pocket-finding calculations occur on the user's computer rather than on a remote server. A working version of the open-source FPocketWeb app can be accessed free of charge from http://durrantlab.com/fpocketweb .

Indexed as

Browser appComputer-aided drug discoveryFpocketLigand-binding pocketOnline resourceWebAssembly

Identifiers

PMID36008829
PMCPMC9414105

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.