Evidence map›Paper›PMID 37939386›Full record

ArticleJournal of chemical information and modeling2023

FASTDock: A Pipeline for Allosteric Drug Discovery.

Furyal Ahmed, Charles L Brooks

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. The physics-AI dialogue in drug design.RSC medicinal chemistry · 2025
    Review
  3. Article
  4. Article
  5. Review
  6. 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.

Furyal AhmedBiophysics Program, University of Michigan, Ann Arbor, Michigan 48103, United States.ORCID 0000-0003-2430-9961
Charles L BrooksDepartment of Chemistry and Biophysics Program, University of Michigan, Ann Arbor, Michigan 48103, United States.ORCID 0000-0002-8149-5417

Funding

Theory and Modeling of Biomolecules and their Interactions - Equipment SupplementR35GM130587 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHARLES L BROOKS · 2019 to 2026
$6.9M
Computational infrastructure for biomedically-driven simulation and modelingS10OD034346 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, CHARLES L · 2023 to 2023
$593k
NIGMS NIH HHS R35 GM130587NIH HHS S10 OD034346
6 · The paper itself

Abstract

Allostery is involved in innumerable biological processes and plays a fundamental role in human disease. Thus, the exploration of allosteric modulation is crucial for research on biological mechanisms and in the development of novel therapeutics. The development of small-molecule allosteric effectors can be used as tools to probe biological mechanisms of interest. One of the main limitations in targeting allosteric sites is the difficulty in uncovering them for specific receptors. Furthermore, upon discovery of novel allosteric modulation, early lead generation is made more difficult as compared to that at orthosteric sites because there is likely no information about the types of molecules that can bind at the site. In the work described here, we present a novel drug discovery pipeline, FASTDock, which allows one to uncover ligandable sites as well as small molecules that target the given site without requiring pre-existing knowledge of ligands that can bind in the targeted site. By using a hierarchical screening strategy, this method has the potential to enable high-throughput screens of an exceptionally large database of targeted ligand space.

Indexed as

Drug DiscoveryAllosteric RegulationAllosteric SiteHumansLigandsLigands

Identifiers

PMID37939386
PMCPMC10773972

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.