Novel phosphoramidates with porphine and nitrogenous drug: One-pot synthesis and orientation to cancer cells

Machine learning-based bioactivity prediction of porphyrin derivatives: molecular descriptors, clustering, and model evaluation

Understanding the relationship between molecular structure and bioactivity is crucial for optimizing porphyrin-based therapeutics. By integrating cheminformatics techniques with machine learning models, our work enables the efficient classification of compounds based on their molecular structures and their growth inhibition capabilities (IC50). A dataset of 317 porphyrin derivatives was compiled, incorporating molecular descriptors and biological activity data. Descriptive statistical analysis was performed to examine compound distribution and key features. Clustering analysis was conducted using hierarchical clustering and fingerprint similarity matrices to classify compounds based on structural similarity. Lipinski's Rule of Five was applied to assess drug-likeness, while Murcko scaffold analysis identified core structural patterns. Tumor response data were analyzed to evaluate therapeutic efficacy. Machine learning models were implemented to predict bioactivity. Descriptive statistics highlighted bioactive compounds, with TMPyP4 and Temaporfin being the most studied. Quantitative estimation of drug-likeness and the number of aliphatic carboxylic acids were identified as the most influential descriptors among others for bioactivity. Hierarchical clustering segmented porphyrins into nine structural groups. The analysis identified 168 pIC50 active compounds, with 31 meeting Lipinski's criteria, and 11 overlapping as both effective and bioavailable. Tumor response analysis revealed three porphyrins achieving 100% response. Logistic Regression emerged as the best-performing model, achieving 83% accuracy, demonstrating robust predictive capabilities. This study successfully characterized porphyrin derivatives, reviewing key molecular features influencing bioactivity and evaluating their therapeutic potential. It highlights the potential of machine learning in predicting the biological activity status of porphyrin derivatives.

New AB3-type porphyrins with piperidine and morpholine motifs; synthesis and photo-physicochemical and biological properties

In this study, new unsymmetrical meso-tetraaryl AB₃-type porphyrins 1 and 2 were successfully synthesized by the reaction of p-bromobenzaldehyde and p-hydroxybenzaldehyde with pyrrole in propionic acid. AB₃-type porphyrin building blocks with hydroxyl functionality (1 and 2) were further used to generate both covalently linked metal free and Zn(II) porphyrins 3-6 having piperidine and morpholine heterocyclic units. These novel compounds were characterized by using ¹H NMR, ¹³C NMR, FT-IR and MALDI-TOF spectrophotometry. The photophysical and photochemical properties of compounds 1-6 were investigated by employing UV-vis absorption and fluorescence emission spectroscopy in tetrahydrofuran (THF). From the view of biological properties, the antioxidant capacities of porphyrins were determined by using DPPH radical scavenging activity and 2 was determined as the most potent porphyrin analog with a value of 98.42% at 200 mg L^-1. All the targeted compounds displayed significant DNA nuclease activity. In addition, the antimicrobial potential of compounds 1-6 was also investigated by a micro-dilution process and 2 was found to be the most effective candidate against the tested microbial strains. The newly synthesized porphyrins also showed 100% microbial cell viability inhibition against E. coli at all examined concentrations. In terms of biofilm inhibition activity, the best results for the maximum photodynamic antimicrobial biofilm inhibition of S. aureus and P. aeruginosa were obtained by compound 2 with the values of 99.75% and 93.39%, respectively.

The diverse pharmacology and medicinal chemistry of phosphoramidates – a review

Promising examples of the phosphoramidates, which possess antiviral, antitumor, antibacterial, antimalarial and anti-protozoal as well as enzyme inhibitor activity are reviewed.

Porphyrin - Phosphoramidate Conjugates: Synthesis, Photostability and Singlet Oxygen Generation

meso-Tetrakis(pentafluorophenyl)porphyrin reacts with aminoalkylphosphoramidates to afford porphyrins substituted with one or four phosphoramidate groups in the 4-position of the meso-aryl groups. The new porphyrin derivatives show high photostability and some are better singlet oxygen generators than meso-tetrakis(1-methylpyridinium-4-yl)porphyrin, a well known good singlet oxygen producer.