Evidence map›Paper›PMID 42340669›Full record

ArticleBioinformatics (Oxford, England)2026

DruGUI 2.0: mapping protein druggability with probe-based molecular dynamics.

Carlos Ventura, Ji Young Lee, Anthony T Bogetti, Anupam Banerjee, Matthew Licht, Ivet Bahar

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Carlos VenturaLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, United States.ORCID 0000-0003-1518-8547
Ji Young LeeLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, United States.
Anthony T BogettiLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, United States.
Anupam BanerjeeLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, United States.ORCID 0000-0002-2859-7705
Matthew LichtLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, United States.
Ivet BaharLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, United States.

Funding

Structure and function of PTH class B GPCRR01DK116780 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ivet Bahar, Jean-Pierre Vilardaga · 2018 to 2026
$4.2M
Toward a Deeper Understanding of Allostery and Allotargeting by Computational ApproachesR01GM139297 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ivet Bahar · 2021 to 2026
$2.8M
National Institute of General Medicines 2R01 GM139297NIDDK NIH HHS R01 DK116780NIGMS NIH HHS R01 GM139297
6 · The paper itself

Abstract

summaryWe introduce DruGUI 2.0, a drug discovery tool for assessing the druggability of proteins, integrated into the ProDy application programming interface (API). DruGUI 2.0 is developed to facilitate the search for druggable sites while allowing for proteins' conformational flexibility. Simulations in explicit solvent, with an option to include membrane, are carried out in the presence of probe molecules selected from an expanded library of small molecules containing drug-like fragments. Druggable sites beyond orthosteric sites are identifiable, as well as the probes that show high affinity to bind to those sites. Characterization of the composition and position of the probes helps build pharmacophore models and estimate relative binding affinities. As a Python module with enhanced visualization features, DruGUI 2.0 complements, and benefits from, the vast collection of protein sequence, structure, and dynamics analyses modules accessible in ProDy. Case studies in the Supplemental Material showcase the utility of DruGUI 2.0 applied to both soluble targets and membrane proteins. AVAILABILITY: ProDy is open-sourced and freely available under MIT License from https://github.com/prody/ProDy. The code version of DruGUI 2.0 used for simulations is available on Zenodo : 10.5281/zenodo.20511357.

Indexed as

Drug DiscoveryMolecular Dynamics SimulationProteinsSoftwareBinding SitesPharmacophoreProtein ConformationProteins

Identifiers

PMID42340669
PMCPMC13335477

What OpenQuestion holds

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LicenceCC BY
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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.