ArticleJournal of orthodontic science2025
Unlocking ADAMTS-5:
Article in Journal of orthodontic science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Virtual screening of potential inhibitors against catechol-o-methyltransferase (COMT) for temporomandibular joint disorders.Journal of orthodontic science · 2025Article
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
backgroundTemporomandibular joint (TMJ) disorder refers to a condition involving dysfunction or pain in the jaw joint and the muscles that control jaw movement. It can affect one or both sides of the jaw and can cause various symptoms, including Jaw pain or tenderness; Difficulty or discomfort when chewing; Clicking, popping, or grating sounds in the jaw joint; Jaw locking or limited movement; Earache or pain around the ear; Headaches or migraines; Neck and shoulder pain; Swelling on the side of the face. TMJ disorder can have various causes, including injury to the jaw joint, teeth grinding or clenching (bruxism), arthritis, stress, misalignment of the jaw or teeth, and excessive gum chewing. Computer-aided drug design (CADD) comprises a range of theoretical and computational strategies employed in contemporary drug discovery. Molecular docking stands out as a key technique within CADD, aiding in the comprehension of drug-molecule interactions for rational drug design, mechanistic investigations, and the creation of stable complexes with heightened specificity and potential effectiveness. Through the docking process, valuable information regarding binding energy, free energy, and predictions of complex stability is obtained, offering significant insights into drug development endeavors.
aimThe objective of this research was to employ docking methodology to identify potential ADAMTS-5 protein for TMJ. Four ADAMTS-5 protein inhibitors previously reported in the literature were selected, and their compound structures were obtained from the Zinc15 database. The ADAMTS-5 protein was designated as the target and optimized utilizing the RCSB Protein Data Bank. Following pharmacophore modeling, 20 novel compounds were identified, and SwissDock was utilized to dock these compounds with the target protein. A comparison was made between the binding energies of the newly discovered compounds and those of previously published molecules with the target.
resultsThe results indicated that among the 20 ZINC1846088 and ZINC33606904 exhibited the highest binding energy and displayed superior properties compared to the other molecules.
conclusionThe study concluded that ZINC1846088 and ZINC33606904 exhibited greater binding affinity than the reported inhibitors of ADAMTS-5 protein. Therefore, these two molecules can be used as a potential and promising lead for the treatment of TMJ and could be employed in targeted drug therapy. CATEGORIES: Dentistry, TMJ.
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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.