ArticleJournal of computer-aided molecular design2026
Discovery of novel natural compounds as PKCθ inhibitors: structure-based virtual screening and in vitro evaluation.
Article in Journal of computer-aided molecular design, 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein kinase C theta (PKCθ) is a unique PKC isoform distinguished by its specific cellular localization in T cells. It plays a critical non-redundant role in regulating T cell activation and is implicated in various autoimmune and inflammatory disorders. Notably, PKCθ is selectively required for detrimental immune responses while being dispensable for beneficial ones; thus, inhibiting PKCθ could specifically reduce detrimental immunity. Moreover, PKCθ has been linked to tumour progression, making it a promising target for cancer therapy. Herein we report the discovery of three new natural compounds as potent PKCθ inhibitors. A comprehensive multistep virtual screening protocol was employed to screen the InterBioScreen database (67,749 compounds) against PKCθ. Molecular docking yielded 40 hits that were subjected to molecular dynamics simulations to assess their stability of binding. In addition to monitoring persistent ligand-protein interactions, binding free energies for the complexes were calculated. Five top compounds that formed stable complexes with PKCθ in silico were then purchased to test their inhibitory activity in vitro. Three of the compounds demonstrated potent, low submicromolar activity against PKCθ, namely STOCK1N-80,922 and STOCK1N-97,911 (IC50 around 0.10 µM) and STOCK1N-93,016 (IC50 around 0.3 µM). The binding free energy decomposition suggests that strong van der Waals/lipophilic binding interactions contribute to the potency of the three compounds. Moreover, these three compounds are predicted to be drug-like and orally bioavailable and, thus, represent promising candidates for further investigation as PKCθ inhibitors. The overall results give insights that may be valuable for the development of PKCθ inhibitors as potential therapeutics.
Indexed as
Identifiers
41870720What 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.