ArticleJournal of computer-aided molecular design2025
Multi-scale in-silico modelling to unveil structural requirements for DNA-PK inhibitors as radiosensitizers and MolSHAP based design of novel ligands.
Article in Journal of computer-aided molecular design, 2025. 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Radiosensitizers are agents that make tumour cells more sensitive to radiation therapy. One key mechanism involves inhibition of the DNA-dependent protein kinase (DNA-PK), an enzyme crucial for repairing DNA double-strand breaks in mammalian cells. Suppression of the DNA-PK enzyme compromises the double-strand break repairs to amplify the radiation induced toxicity among the tumour cells. In this study, 73 6‑Anilino Imidazo[4,5‑c]pyridin-2-one derivatives were curated as potent DNA-PK inhibitors and subjected them to 2D -and 3D-Quantitative Structure Activity Relationship analyses to explore their structural requirements. Apart from conventional methodology, we implemented newly developed MolSHAP analyses for R-group analyses. Significant information regarding structural requirements were retrieved from each of these cheminformatic analyses. Additionally, to understand the interaction between the ligands and the DNA-PK receptor, molecular dynamics (MD) simulation analysis of 100 ns were carried out for the most and the least potent compounds among the dataset. The findings indicated H-bond and π-π interactions to be the key factors for binding interactions. Furthermore, novel ligands were designed through the MolSHAP tool and were validated through the chemometric model developed in this investigation. The designed compound exhibited favourable predicted activity and replicated key interaction profiles of the co-crystallized bound ligand in MD simulations. The investigation was carried out through open-access tools to safeguard reproducibility and accessibility among researchers.
Indexed as
Identifiers
41427993What 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.