ArticleJournal of chemical information and modeling2023
MolBook UNIPI─Create, Manage, Analyze, and Share Your Chemical Data for Free.
Article in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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
16 citing papers in PubMed.
- Development of Glycoconjugated MAGL Inhibitors with Glucose-Dependent Antiproliferative Activity.International journal of molecular sciences · 2026Article
- Novel Insights on Benzo[Antioxidants (Basel, Switzerland) · 2026Article
- Hybridization Approach Applied to Umbelliferon and Vanilloids toward New Inhibitors of Carbonic Anhydrases IX and XII with In Vitro Antiproliferative and Anti-inflammatory Activities.Journal of medicinal chemistry · 2026Article
- Machine Learning-Based Virtual Screening for the Identification of Novel CDK-9 Inhibitors.Biomolecules · 2025Article
- A Machine Learning Platform for Isoform-Specific Identification and Profiling of Human Carbonic Anhydrase Inhibitors.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Identification of a Non-Retinoid Opsin Ligand Through Pharmacophore-Guided Virtual Screening-A Novel Potential Rhodopsin-Stabilizing Compound.Molecules (Basel, Switzerland) · 2025Article
- KinasePred: A Computational Tool for Small-Molecule Kinase Target Prediction.International journal of molecular sciences · 2025Article
- A series of benzensulfonamide derivatives as new potent carbonic anhydrase IX and XII inhibitors.Future medicinal chemistry · 2025Article
- Watermelon: setup and validation of anJournal of enzyme inhibition and medicinal chemistry · 2024Article
- Comparative proteomic analysis of human vitreous in rhegmatogenous retinal detachment and diabetic retinopathy reveals a common pathway and potential therapeutic target.Clinical proteomics · 2024Article
- Design, synthesis and biological evaluation of arylsulfonamides as ADAMTS7 inhibitors.RSC medicinal chemistry · 2024Article
- VenomPred 2.0: A NovelJournal of chemical information and modeling · 2024Article
- Sirtuin 1-activating derivatives belonging to the anilinopyridine class displayingRSC medicinal chemistry · 2024Article
- Identification of New GSK3β Inhibitors through a Consensus Machine Learning-Based Virtual Screening.International journal of molecular sciences · 2023Article
- A Multitarget Approach against Neuroinflammation: Alkyl Substituted Coumarins as Inhibitors of Enzymes Involved in Neurodegeneration.Antioxidants (Basel, Switzerland) · 2023Article
- Nature-Inspired Compounds: Synthesis and Antibacterial Susceptibility Testing of Eugenol Derivatives againstPharmaceuticals (Basel, Switzerland) · 2023Article
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
Here, we present MolBook UNIPI, freely available and user-friendly software specifically designed for medicinal chemists as a powerful tool for the easy management of virtual libraries of chemical compounds. With MolBook UNIPI, it is possible to create, store, handle, and share molecular databases in a very simple and intuitive way. The software allows users to rapidly generate libraries of bioactive ligands, building blocks, or commercial compounds by either manually creating single molecules or automatically importing compounds from public databases and pre-existing libraries. MolBook UNIPI databases can be enriched with all kinds of data and can be filtered based on molecular structures or properties, allowing the desired molecules, along with their structures and features, to be easily accessible in just a few clicks. Moreover, new molecular properties and potential toxicological effects of compounds can be rapidly and reliably predicted. Notably, all of these functions can be easily mastered even by inexperienced users, with no prior cheminformatics knowledge or programming skills, which makes MolBook UNIPI an invaluable tool for medicinal chemists. MolBook UNIPI can be downloaded free of charge from the project web page https://molbook.farm.unipi.it/.
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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.