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naproxen (naproxen, Verex / naproxen, Biovail)

✓ Approved

Bausch Health Companies Inc. · PTGS1 · 小分子

什么是 naproxen?

naproxen 是一种小分子,由Bausch Health Companies Inc.研发。该药已获批,用于治疗相关适应症,给药途径:Oral (PO)。

药物档案

商品名naproxen, Verex, naproxen, Biovail
公司Bausch Health Companies Inc.
药物类别小分子
分子靶点PTGS1, PTGS2
给药途径Oral (PO)
状态Approved

作用机制

分子靶点

naproxen 作用于 2 个分子靶点:

PTGS1prostaglandin-endoperoxide synthase 1 (COX3, PCOX1)
PTGS2prostaglandin-endoperoxide synthase 2 (GRIPGHS, hCox-2)
需要更深入的分析?Noah AI 可解释复杂机制并与同类药物比较。

治疗适应症

naproxen 针对 1 个适应症,涉及 1 个治疗领域。

治疗领域疾病/病症分期
Musculoskeletal and connective tissue disordersMusculoskeletal pain✓ Approved

相关研究文献

PubMedWiadomosci lekarskie (Warsaw, Poland : 1960)2026-10-25

A comparative study of low-level laser therapy combined with drugs versus drug therapy alone in the management of myogenic TMJ pain.

Saeed Sakina Mohamed SM, Dhahir Mohamed K MK, Alkurtas Salah S

Aim: To compare the effect of low-level laser therapy combined with pharmacotherapy (naproxen + orphenadrine with paracetamol (myogesic)) and pharmacotherapy alone in treating myofascial pain related to temporomandibular joint. Materials and Methods: Twenty-four participants with myofascial pain related to TMJ diagnosed according to diagnostic criteria DC/TMJ are randomly divided into two groups (n=12); Group1 received naproxen 500mg twice a day and myogesic three times a day for 21 days, Group 2 received Low-Level Laser Therapy for nine sessions three sessions a week with a diode laser with dual-wavelength with the same drugs as group1. Measures of myofascial pain during the function were evaluated at baseline, after 10 days, at the end of treatment, and 3 months after the end of treatments using the visual analog scale VAS, which has scores from zero (no pain) to ten (sever pain) also maximum mouth opening was measured in each session. Results: VAS scores decreased in both groups but significantly more in Low-Level Laser Therapy with pharmacotherapy group at 10 days, 21 days, and 3 months (p < 0.05). Maximum mouth opening highly improved in Group 2 with significantly more significant gains in Low-Level Laser Therapy group at all follow-up points except baseline (p < 0.05). Conclusions: These results indicate that Low-Level Laser Therapy with pharmacotherapy was more effective than pharmacological therapy in decreasing pain and improving jaw function in patients with TMJ-related myogenic pain.

PMID 42922303
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PubMedSpectrochimica acta. Part A, Molecular and biomolecular spectroscopy2026-10-25

Dynamic UV-Vis monitoring of ternary pharmaceutical photodegradation using multivariate curve resolution and predictive modeling.

Ocampo Daysi Elusaí Millán DEM, Martínez Susana Silva SS

Ultraviolet (UV) photodegradation of multicomponent pharmaceutical systems generates complex spectral signals due to overlapping absorption bands and transient intermediates, limiting conventional quantitative approaches. To address this challenge, an integrated chemometric strategy was developed to predict concentration profiles in dynamic ternary mixtures of paracetamol (PAR), naproxen sodium (NPX), and diclofenac sodium (DIC) in spiked river water using Ultraviolet-visible (UV-Vis) spectroscopy. UV-Vis spectra from individual photolysis experiments were analyzed by Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) to estimate concentration profiles of the parent pharmaceuticals. These profiles were associated with ternary mixture spectra reconstructed by linear combination of the spectral data obtained from the individual photolysis experiments. The combined spectral data, together with experimentally acquired calibration data, served as input to develop a linear Partial Least Squares (PLS) and non-linear Artificial Neural Network (ANN) models, enabling simultaneous prediction of component concentrations. The degree of nonlinearity in the calibration datasets was first assessed using the Non-Linearity Degree (NLD), yielding values of 0.248, 0.398, and 0.214 for PAR, NPX, and DIC, respectively. These results exceeded the 0.05 threshold, indicating significant non-linear behavior in the calibration datasets. Accordingly, the linear PLS model showed limited predictive performance, particularly for DIC. In contrast, the non-linear ANN model achieved higher predictive accuracy, demonstrating its superior suitability for the dynamically evolving multicomponent systems.

PMID 42925692
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PubMedTherapeutic advances in drug safety2026-10-25

Drug interactions in rheumatoid arthritis: a disparity between electronic database prediction and real-world co-prescription with different large language models.

Lalitkanjanakul Tonson T, Pitidhammabhorn Dhanesh D, Jakramonpreeya Natnicha N, Suechanyapong Werapat W et al.

Rheumatoid arthritis (RA) is a chronic inflammatory disease that often requires multi-drug regimens, which can increase the risk of drug-drug interactions (DDIs). To determine whether polypharmacy contributes to potential DDIs in patients with RA. A retrospective observational study that integrates data from drug interaction databases and medical records, supplemented by artificial intelligence analysis. Twenty-one RA drugs and 54 commonly prescribed medicines were screened for potential DDIs using the Micromedex and WebMD databases and compared with real-world co-prescription at our hospital. The ChatGPT-5 and Gemini 2.5 large language models (LLMs) were also evaluated as "AI judges" versus an expert rheumatologist to assess real-world co-prescription. This study was conducted from January to September 2025. Among 75 frequently prescribed medicines in RA patients, 753 database-predicted potential DDIs were reported, with Micromedex showing 464 DDI pairs and WebMD showing 600 pairs. Both databases classified 47 serious potential DDIs as contraindicated or major, with high concordance. The main predicted DDI mechanisms were immunosuppression (27%), methotrexate toxicity (18%), and nephrotoxicity (12%), with tacrolimus (12%), methotrexate (10%), and infliximab (6%) as major culprit drugs. In real-world co-prescriptions, 259 RA patients showed methotrexate/naproxen (46.4%) and methotrexate/sulfasalazine (29.5%) as the most common real-world co-prescribing patterns with potential DDIs. Brennan-Prediger kappa values indicated fair agreement (0.3161) in the electronic database predictions and conditional agreement (0.9807) among preselected serious DDIs. The LLM evaluation revealed that advanced models (e.g., Gemini 2.5 Pro) provided finesse recommendations highly concordant with expert opinion, whereas simpler models were more conservatively aligned with database alerts. In both real-world co-prescription and database evaluation, serious potential DDIs were associated mainly with methotrexate toxicity. Based on these exploratory findings, advanced LLMs show potential to assist with the contextualizing rigid database alerts and supporting pragmatic clinical decision-making. However, expert clinical judgment and direct patient consultation remain essential to improve RA patient safety and medication adherence.

PMID 42923782
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PubMedJournal of molecular graphics & modelling2026-10-25

Modified NSAIDs as potential inhibitors of phosphopeptide recognition by the BRCA1 tandem BRCT domain.

Abbas Saeef Mohammed Hasan SMH, Gladkikh Boris P BP

Small molecules that disrupt phosphopeptide recognition by the tandem BRCT (tBRCT) domain of BRCA1 are of interest as a means of suppressing homologous recombination (HR) repair and of sensitising tumor cells to poly (ADP-ribose) polymerase inhibitors (PARPi). Here we report an entirely computational design and prioritisation study of amide derivatives assembled from non-steroidal anti-inflammatory drug (NSAID) fragments and intended to occupy the pSer-X-X-Phe recognition cleft of BRCA1 tBRCT. Fragments of ibuprofen, naproxen, flurbiprofen and ketoprofen were combined with chloro- and fluoro-substituted benzylamine or aniline fragments, with and without an intervening methylene linker, to give a library of 64 amides. The library was passed through a sequential in silico workflow: Glide standard-precision (SP) docking into the BRCA1 tBRCT-phosphopeptide structure (PDB 3K0H), Prime MM-GBSA rescoring, induced-fit docking (IFD), binding pose metadynamics (BPMD; ten independent 10 ns replicas per ligand) and triplicate 100 ns molecular dynamics (MD) simulations. Predicted complex structures and binding affinities were additionally obtained with the deep-learning model Boltz-2 across an ensemble of five independent seeds, together with predicted aligned error (PAE) maps. MM-GBSA binding free energies for the library ranged from -30.4 to -53.1 kcal/mol (mean -44.9 ± 3.8). Two compounds were carried forward: 1 (ibuprofen fragment, 2-chlorobenzylamide) and 33 (flurbiprofen fragment, 2-chlorobenzylamide). The static scores and the dynamical assessment rank the library differently: Bractoppin lies seventh of the 65 structures on MM-GBSA and both leads score below it, so the leads were selected on pose stability rather than on score. Comparison with the crystal structure shows that both ligands occupy the phosphopeptide cleft, with the chlorophenyl ring reproducing the position of the conserved Phe4 phenyl ring to within 1.8-2.3 Å. Reporting BPMD as a mean over the ten replicas together with its replica-to-replica spread shows that compound 33 was the only ligand of the 39 BPMD runs performed whose hydrogen-bond network was retained in every replica (per-replica persistence 0.667-0.940; PersScore 0.852 ± 0.090, PoseScore 1.76, CompScore -2.50); for all other ligands at least one replica lost these contacts completely. In triplicate 100 ns MD simulations compounds 1 and 33 maintained hydrogen bonds to Thr1700, Leu1701 and Asn1774 and an intermittent π-cation contact with Arg1835 and halogen contacts with Arg1699. Boltz-2 returned predicted pIC50 values (dimensionless, derived from the model's log10(IC50/μM) output) of 7.83 for compound 1 and 8.47 for compound 33, compared with 7.41 for the reference inhibitor Bractoppin, with interface confidence ipTM of 0.84 and 0.88 and complex pLDDT of 0.87 and 0.89, respectively. These differences are small relative to the reported error of the Boltz-2 affinity module and are therefore used only for qualitative ranking and not as evidence of stronger binding. In a re-docking test the protocol reproduces the crystallographic phosphopeptide pose to a heavy-atom RMSD of 1.79 A, the native configuration ranking second of 128 enumerated states, although the dianionic phosphate group is misplaced by more than 3 A. All data presented are predictive; no experimental measurements were performed. The study identifies two NSAID-derived amides as structurally plausible starting points for the development of BRCA1 tBRCT ligands, whose affinity, selectivity with respect to related BRCT domains and cellular activity remain to be established experimentally.

PMID 42925763
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PubMedDermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.]2026-10-23

Randomized Controlled Trial Confirms Preemptive Post-op Naproxen is Superior to Standard Post-surgical Pain Management.

Lacy Frank A FA, Zitelli John A JA, Brodland David G DG

PMID 42910849
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PubMedOrganic letters2026-10-23

Divergent and Stereoselective Synthesis of Enamides via Visible Light-Driven Ligand-to-Metal Charge Transfer of Copper Catalyst.

Yang Yu-Rong YR, Zhang Xin-Yu XY, Zhou Cheng-He CH, Zang Zhong-Lin ZL et al.

We herein report the divergent and stereoselective synthesis of enamides based on a hydrogen atom transfer (HAT) process coordinating with ligand-to-metal charge transfer (LMCT) and single-electron transfer (SET) processes using a copper catalyst. The key to success in furnishing the reaction was the formation of an acyl radical via LMCT and HAT processes, which can also regenerate the active Cu(II) species to realize the catalytic cycle of copper. This approach exhibits substrate-controlled chemoselectivity and stereoselectivity as well as excellent functional group tolerance, which was applicable to the late-stage functionalization of pharmaceuticals, such as ibuprofen, flurbiprofen, naproxen, and carbamazepine.

PMID 42917826
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