Evidence map›Paper›PMID 40133782›Full record

ArticleJournal of molecular biology2025

E-FTMap: A Protein Structure Based Pharmacophore Identification Server for Guiding Fragment Expansion.

Omeir Khan, George Jones, Dima Kozakov, Dmitri Beglov, Diane Joseph-McCarthy, Sandor Vajda

Abstract read
In one paragraph

Article in Journal of molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Omeir KhanDepartment of Chemistry, Boston University, Boston, MA 02215, United States.
George JonesDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, United States.
Dima KozakovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, United States; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, United States.
Dmitri BeglovAcpharis Inc, Holliston, MA 01746, United States.
Diane Joseph-McCarthyDepartment of Chemistry, Boston University, Boston, MA 02215, United States; Department of Biomedical Engineering, Boston University, Boston, MA 02215, United States.
Sandor VajdaDepartment of Chemistry, Boston University, Boston, MA 02215, United States; Department of Biomedical Engineering, Boston University, Boston, MA 02215, United States. 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
Deep learning augmented protein mapping software to screen large compound librariesR43GM144992 · NIGMS · ACPHARIS, INC. · PI BEGLOV, DMITRI · 2022 to 2022
$173k
High-throughput portable software for fragment-based drug designR41GM097907 · NIGMS · ACPHARIS, INC. · PI VAJDA, SANDOR · 2011 to 2011
$98k
NIGMS NIH HHS R35 GM118078NIGMS NIH HHS R41 GM097907NIGMS NIH HHS R43 GM144992
6 · The paper itself

Abstract

In fragment-based drug design (FBDD), libraries of low molecular weight compounds are screened against a receptor. Due to their size, fragment hits typically bind with weak affinities by forming a handful of highly efficient interactions with the receptor. Such fragment hits must be expanded into more potent lead compounds in order to achieve higher binding affinities. Approaches for expanding fragments to leads include growing-the iterative expansion of the scaffold, and merging-the linking of two fragment hits. In both cases the design can be facilitated by information on the ligand binding preferences of the target protein. Here we describe a protocol for fragment expansion using E-FTMap, an automated web server that identifies important pharmacophore binding regions within a binding site of proteins using the receptor structure alone. E-FTMap distributes 119 small organic probes across a binding site, identifies energy minima in which similar probes bind, and clusters probes by their atom types to identify regions which preferably bind specific atom types. Unless a priori known, the binding site for this analysis can be identified by our FTMap server that uses only 16 probes to find binding hot spots that are generally preferable for ligand binding, whereas the subsequent use of E-FTMap provides atom-specific information. The utility of E-FTMap as a tool for guiding the expansion of fragments into higher affinity binders is demonstrated by its application to 17 proteins that have been targeted by FBDD. The E-FTMap webserver is publicly accessible at https://eftmap.bu.edu/.

Indexed as

Drug DesignProteinsSoftwareBinding SitesDrug DiscoveryInternetLigandsModels, MolecularPharmacophoreProtein BindingProtein ConformationSmall Molecule LibrariesLigandsProteinsSmall Molecule Librariesbinding hot spotbinding site characterizationfragment based ligand designprotein mappingwebserver

Identifiers

PMID40133782
PMCPMC12145266

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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 OpenQuestion graph.