Pub Date : 2024-02-29DOI: 10.1007/s00764-024-00289-w
Suzana Apostolov, Dragana Mekić, Gyöngyi Vastag
In the last 20 years, isatin and its derivatives stand out as promising precursors in the synthesis of new pharmacologically active compounds. Since it can act as both an electrophile and nucleophile, the possibilities of its structural modification are numerous, which is what makes it an interesting moiety in structure–activity relationship (SAR) studies. The early stages of the study of potentially pharmacologically active compounds involve a detailed analysis of their physicochemical, pharmacokinetic, and toxicological properties. This research deals with studying the chromatographic behavior, lipophilicity, of the series of isatin derivatives by using reversed-phase thin-layer chromatography (RPTLC) as well as with evaluating their important in silico absorption, distribution, metabolism, excretion, and toxicity (ADMET) and ecotoxic properties. A comprehensive interpretation of the relationship between the obtained parameters was performed by using the method of multivariate analysis—hierarchical cluster analysis (HCA) and principal component analysis (PCA). Established meaningful mathematical models indicate that the chromatographic parameters obtained by RPTLC (RM0 and m) can be interpreted as reliable descriptors of bioactivity properties of examined isatin derivatives.
{"title":"Application of thin-layer chromatography in the assessment of bioactivity properties of isatin derivatives","authors":"Suzana Apostolov, Dragana Mekić, Gyöngyi Vastag","doi":"10.1007/s00764-024-00289-w","DOIUrl":"https://doi.org/10.1007/s00764-024-00289-w","url":null,"abstract":"<p>In the last 20 years, isatin and its derivatives stand out as promising precursors in the synthesis of new pharmacologically active compounds. Since it can act as both an electrophile and nucleophile, the possibilities of its structural modification are numerous, which is what makes it an interesting moiety in structure–activity relationship (SAR) studies. The early stages of the study of potentially pharmacologically active compounds involve a detailed analysis of their physicochemical, pharmacokinetic, and toxicological properties. This research deals with studying the chromatographic behavior, lipophilicity, of the series of isatin derivatives by using reversed-phase thin-layer chromatography (RPTLC) as well as with evaluating their important <i>in silico</i> absorption, distribution, metabolism, excretion, and toxicity (ADMET) and ecotoxic properties. A comprehensive interpretation of the relationship between the obtained parameters was performed by using the method of multivariate analysis—hierarchical cluster analysis (HCA) and principal component analysis (PCA). Established meaningful mathematical models indicate that the chromatographic parameters obtained by RPTLC (<i>R</i><sub>M</sub><sup>0</sup> and <i>m</i>) can be interpreted as reliable descriptors of bioactivity properties of examined isatin derivatives.</p>","PeriodicalId":17616,"journal":{"name":"Jpc-journal of Planar Chromatography-modern Tlc","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140005056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-13DOI: 10.1007/s00764-023-00278-5
Marek Studziński, Irena Malinowska
Predicting the biological properties of newly synthesized compounds plays a key role in the process of synthesis of new compounds and their evaluation as potential drug candidates. The large number of methods and models available often makes it confusing to choose a suitable one in the context of given investigated compounds. In this paper, a comparison of data obtained using 46 in silico models predicting various properties and retention parameters of compounds on the basis of data obtained in 8 commonly available thin-layer chromatographic (TLC) systems for 14 commercially available drugs was carried out using the principal component analysis (PCA) method. The results obtained show similarities between the RM0, S, and φ0 values calculated for the investigated TLC systems and the sets of descriptors obtained from the in silico calculations, enabling an evaluation of the interchangeability of the investigated methods.
{"title":"Comparison of computational and thin-layer chromatographic methods for prediction of biological properties of organic compounds","authors":"Marek Studziński, Irena Malinowska","doi":"10.1007/s00764-023-00278-5","DOIUrl":"https://doi.org/10.1007/s00764-023-00278-5","url":null,"abstract":"<p>Predicting the biological properties of newly synthesized compounds plays a key role in the process of synthesis of new compounds and their evaluation as potential drug candidates. The large number of methods and models available often makes it confusing to choose a suitable one in the context of given investigated compounds. In this paper, a comparison of data obtained using 46 <i>in silico</i> models predicting various properties and retention parameters of compounds on the basis of data obtained in 8 commonly available thin-layer chromatographic (TLC) systems for 14 commercially available drugs was carried out using the principal component analysis (PCA) method. The results obtained show similarities between the R<sub>M0</sub>, S, and φ<sub>0</sub> values calculated for the investigated TLC systems and the sets of descriptors obtained from the <i>in silico</i> calculations, enabling an evaluation of the interchangeability of the investigated methods.</p>","PeriodicalId":17616,"journal":{"name":"Jpc-journal of Planar Chromatography-modern Tlc","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139770016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-12DOI: 10.1007/s00764-024-00287-y
Megha Gangwar, Jalaluddin Khan, Mohammad Sarwar Alam, Bibhu Prasad Panda, Adil Ahamad
Equol, an exclusive gut bacteria metabolite, is associated with the incidence of low blood pressure, strokes, and hormone-related cancers due to its estrogen-mimicking structure and antioxidant properties. However, all humans cannot produce S-equol upon consumption of soybean and are thus deprived of the health benefits. Existing methods of equol estimation involve complex instrumentation, which is time-consuming and expensive. Therefore, in this study, we develop a simple, cost-effective, accurate, and rapid high-performance thin-layer chromatography (HPTLC) method for equol estimation. Chromatography was performed on precoated silica gel aluminum 60 F254 HPTLC plates, and it produced a compact spot of equol [retardation factor (RF) value of 0.77 ± 0.04] with a mobile phase ethyl acetate–toluene–formic acid in the ratio 5:4:1 (V/V). Ultraviolet detection was performed densitometrically at λmax 200 nm. The method was validated for precision, recovery, robustness, specificity, limit of detection, and limit of quantification, following the International Council for Harmonisation (ICH) guidelines. It was found that S-equol concentration was higher in rats fed with fermented soybean, and the concentration was higher in feces as compared with urine samples. The highest S-equol content in feces and urine was 16.74 µg g−1 and 6.34 µg mL−1, respectively. Quantification of S-equol by HPTLC enables us to segregate the human population into two groups: equol producers/healthy individuals and nonequol producers/nonhealthy individuals. In this era of personalized medicine, such an insight will prove to be of great value and also reduce the drug load on our body.