Evidence map›Paper›PMID 35662465›Full record

ArticleJournal of molecular biology2022

FTMove: A Web Server for Detection and Analysis of Cryptic and Allosteric Binding Sites by Mapping Multiple Protein Structures.

Megan Egbert, George Jones, Matthew R Collins, Dima Kozakov, Sandor Vajda

Abstract read
In one paragraph

Article in Journal of molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Computational Ligand-Binding Site Prediction.Advances in experimental medicine and biology · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. FASTDock: A Pipeline for Allosteric Drug Discovery.Journal of chemical information and modeling · 2023
    Article
  11. Review
  12. Review
  13. A journey from molecule to physiology andFrontiers in pharmacology · 2023
    Review
  14. Article
  15. API Development Increases Access to Shared Computing Resources at Boston University.Journal of software engineering and applications · 2022
    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

5 authors.

Megan EgbertDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
George JonesDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA.
Matthew R CollinsDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
Dima KozakovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA.
Sandor VajdaDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA; Department of Chemistry, Boston University, Boston, MA 02215, USA. Electronic address: vajda@bu.edu.

Funding

Analysis and Prediction of Molecular InteractionsR35GM118078 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SANDOR VAJDA · 2016 to 2026
$6.5M
Fast energy evaluation for multi-protein systemsR21GM127952 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI KOZAKOV, DMYTRO · 2018 to 2019
$432k
NIGMS NIH HHS R21 GM127952NIGMS NIH HHS R35 GM118078
6 · The paper itself

Abstract

Protein mapping distributes many copies of different molecular probes on the surface of a target protein in order to determine binding hot spots, regions that are highly preferable for ligand binding. While mapping of X-ray structures by the FTMap server is inherently static, this limitation can be overcome by the simultaneous analysis of multiple structures of the protein. FTMove is an automated web server that implements this approach. From the input of a target protein, by PDB code, the server identifies all structures of the protein available in the PDB, runs mapping on them, and combines the results to form binding hot spots and binding sites. The user may also upload their own protein structures, bypassing the PDB search for similar structures. Output of the server consists of the consensus binding sites and the individual mapping results for each structure - including the number of probes located in each binding site, for each structure. This level of detail allows the users to investigate how the strength of a binding site relates to the protein conformation, other binding sites, and the presence of ligands or mutations. In addition, the structures are clustered on the basis of their binding properties. The use of FTMove is demonstrated by application to 22 proteins with known allosteric binding sites; the orthosteric and allosteric binding sites were identified in all but one case, and the sites were typically ranked among the top five. The FTMove server is publicly available at https://ftmove.bu.edu.

Indexed as

Internet UseProtein ConformationProteinsSoftwareAllosteric SiteLigandsLigandsProteinsallosteric bindingbinding hot spotdrugabilityprotein binding siteprotein mapping

Identifiers

PMID35662465
PMCPMC9789685

What OpenQuestion holds

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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.