ArticleBioinformatics (Oxford, England)2026
DruGUI 2.0: mapping protein druggability with probe-based molecular dynamics.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.