ArticleMolecules (Basel, Switzerland)2026
A Modular Platform for Porphyrin Molecular Design and UV-Vis-NIR Spectral Prediction.
Article in Molecules (Basel, Switzerland), 2026. 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
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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.
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Who cites it
1 citing paper in PubMed.
- A versatile method for accurately predicting electronic absorption spectra of tetrapyrrole macrocycles.Scientific reports · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Porphyrin and related tetrapyrrole chromophores underpin broad applications in photochemistry, photomedicine, catalysis, and functional materials, yet practical workflows that connect molecular design, geometry optimization, orbital-energy prediction, and absorption spectrum prediction remain fragmented across separate computational tools. Here, we report BeyondPhoton, a modular web- and software-based platform that enables automated porphyrin molecular design and electronic absorption spectral prediction within a single continuous workflow. Four interconnected but independently operable Flask applications communicate through lightweight JSON data exchange, allowing users to proceed from de novo molecular construction or direct SMILES input to geometry optimization, structural visualization, frontier molecular orbital energy prediction, and UV-Vis-NIR spectral simulation without manual file conversion. Predicted HOMO-1, HOMO, LUMO, and LUMO+1 energies are translated into B
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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.