Sethu Kailasam Geetha Babu

Bio: Sethu Kailasam Geetha Babu is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topic(s): Quantitative structure–activity relationship & Molecular descriptor. The author has an hindex of 2, co-authored 3 publication(s) receiving 139 citation(s).

QSAR Studies on chalcones and flavonoids as anti-tuberculosis agents using genetic function approximation (GFA) method

Abstract: Design of compounds having good anti-tubercular activity is gaining much importance in the field of tuberculosis research due to reemergence of antibiotic resistance strains. In this paper quantitative structure activity relationships (QSAR) were developed on chalcones, chalcone-like compounds, flavones and flavanones to understand the relationship between biological activity and structural features. Genetic function approximation (GFA) method was used to identify the descriptors that would lead to good regression equations. The best molecular descriptors identified were Jurs descriptors (Jurs charged partial surface area), hydrogen bond donor, principal moment of inertia, molecular energy, dipole magnetic, molecular area, absorption, distribution, metabolism and excretion (ADME) properties and Chi indices (Kier & Hall chi connectivity indices). Excellent statistically significant models were developed by this approach (r(2)=0.8-0.97) for the four groups of compounds. The cross validated r(2) (XV r(2)) which is an indication of the predictive capability of the model for all the cases was also very good (=0.79-0.94).

Impact of Topological and Electronic Descriptors in the QSAR of Pyrazine Containing Thiazolines and Thiazolidinones as Antitubercular and Antibacterial Agents

Abstract: Quantitative structure activity relationships (QSAR) were developed relating the 14th and 21st day antituberculosis activity against H(37)Rv strain of Mycobacterium tuberculi and antibacterial activity against Staphylococcus aureus ATCC3750, Bacillus subtilis 6633, Escherichia coli ATCC3750, and Salmonella typhi NCTC786 of 55 pyrazine containing thiazolines and thiazolidinones, with the molecular descriptors. The developed models were able to fit the data well (r(2) = 0.69-0.87) and had reasonable predictive capability (q(2) > 0.62). The data were also divided into a training set and a test set, the former was used to develop the QSAR and the latter was used to evaluate the predictive capability of these developed models. In all the cases, the models were able to predict the test data set reasonably well. Predominantly, pyrazine ring is well-known for its antimycobacterial activity and hence these equation could be used to design newer analogues with higher activity. These compounds also possess both antitubercular and antibacterial activity. Descriptors pertaining to electronic, topology, and hydrophobicity of the molecules appear in the model equations.

Dietary flavonoid aglycones and their glycosides: Which show better biological significance?

Abstract: The dietary flavonoids, especially their glycosides, are the most vital phytochemicals in diets and are of great general interest due to their diverse bioactivity. The natural flavonoids almost all exist as their O-glycoside or C-glycoside forms in plants. In this review, we summarized the existing knowledge on the different biological benefits and pharmacokinetic behaviors between flavonoid aglycones and their glycosides. Due to various conclusions from different flavonoid types and health/disease conditions, it is very difficult to draw general or universally applicable comments regarding the impact of glycosylation on the biological benefits of flavonoids. It seems as though O-glycosylation generally reduces the bioactivity of these compounds - this has been observed for diverse properties including antioxidant activity, antidiabetes activity, anti-inflammation activity, antibacterial, antifungal activity, antitumor activity, anticoagulant activity, antiplatelet activity, antidegranulating activity, antitrypanosomal activity, influenza virus neuraminidase inhibition, aldehyde oxidase inhibition, immunomodulatory, and antitubercular activity. However, O-glycosylation can enhance certain types of biological benefits including anti-HIV activity, tyrosinase inhibition, antirotavirus activity, antistress activity, antiobesity activity, anticholinesterase potential, antiadipogenic activity, and antiallergic activity. However, there is a lack of data for most flavonoids, and their structures vary widely. There is also a profound lack of data on the impact of C-glycosylation on flavonoid biological benefits, although it has been demonstrated that in at least some cases C-glycosylation has positive effects on properties that may be useful in human healthcare such as antioxidant and antidiabetes activity. Furthermore, there is a lack of in vivo data that would make it possible to make broad generalizations concerning the influence of glycosylation on the benefits of flavonoids for human health. It is possible that the effects of glycosylation on flavonoid bioactivity in vitro may differ from that seen in vivo. With in vivo (oral) treatment, flavonoid glycosides showed similar or even higher antidiabetes, anti-inflammatory, antidegranulating, antistress, and antiallergic activity than their flavonoid aglycones. Flavonoid glycosides keep higher plasma levels and have a longer mean residence time than those of aglycones. We should pay more attention to in vivo benefits of flavonoid glycosides, especially C-glycosides.

Advances in the biotechnological glycosylation of valuable flavonoids

Abstract: The natural flavonoids, especially their glycosides, are the most abundant polyphenols in foods and have diverse bioactivities. The biotransformation of flavonoid aglycones into their glycosides is vital in flavonoid biosynthesis. The main biological strategies that have been used to achieve flavonoid glycosylation in the laboratory involve metabolic pathway engineering and microbial biotransformation. In this review, we summarize the existing knowledge on the production and biotransformation of flavonoid glycosides using biotechnology, as well as the impact of glycosylation on flavonoid bioactivity. Uridine diphosphate glycosyltransferases play key roles in decorating flavonoids with sugars. Modern metabolic engineering and proteomic tools have been used in an integrated fashion to generate numerous structurally diverse flavonoid glycosides. In vitro, enzymatic glycosylation tends to preferentially generate flavonoid 3- and 7-O-glucosides; microorganisms typically convert flavonoids into their 7-O-glycosides and will produce 3-O-glycosides if supplied with flavonoid substrates having a hydroxyl group at the C-3 position. In general, O-glycosylation reduces flavonoid bioactivity. However, C-glycosylation can enhance some of the benefits of flavonoids on human health, including their antioxidant and anti-diabetic potential.

Synthesis, antimycobacterial activity evaluation, and QSAR studies of chalcone derivatives.

Abstract: In order to develop relatively small molecules as antimycobacterial agents, twenty-five chalcones were synthesized, their activity was evaluated, and quantitative structure-activity relationship (QSAR) was developed. The synthesis was based on the Claisen-Schimdt scheme and the resultant compounds were tested for antitubercular activity by luciferase reporter phage (LRP) assay. Compound C(24) was found to be the most active ( approximately 99%) in this series based on the percentage reduction in Relative Light Units at both 50 and 100 microg/ml levels, followed by compound C(21). Four compounds at the 50 microg/ml and eight compounds at the 100 microg/ml showed activity above 90% level. QSAR model was developed between activity and spatial, topological, and ADME descriptors for the 50 microg/ml data. The statistical measures such as r, r(2), q(2), and F values obtained for the training set were in acceptable range and hence this relationship was used for the test set. The predictive ability of the model is satisfactory (q(2)=0.56) and it can be used for designing similar group of compounds.

Novel imidazo[2,1-b][1,3,4]thiadiazole carrying rhodanine-3-acetic acid as potential antitubercular agents

Abstract: The increase in the prevalence of multi drug-resistant and extensively drug-resistant strains of Mycobacterium tuberculosis case demonstrates the urgent need of discovering new promising compounds with antimycobacterial activity. As part of our research program and with a aim of identifying new antitubercular drug candidates, a new class of 2-(trifluoromethyl)-6-arylimidazo[2,1- b ][1,3,4]thiadiazole derivatives has been synthesized by both conventional as well as microwave assisted method and evaluated for their in vitro antitubercular activity against M . tuberculosis H 37 Rv. Moreover, various drug-likeness properties of new compounds were predicted. Seven compounds from the series exhibited good activity with MIC in range 3.12–1.56 μg/ml. The present study suggests that compounds 6b , 6c , 6d , 6e and 6f may serve as promising lead scaffolds for further generation of new anti-TB agents.

Synthesis, antioxidant evaluation, and quantitative structure–activity relationship studies of chalcones

Abstract: Synthesis, antioxidant activity, and quantitative structure–activity relationship (QSAR) of 25 of chalcone derivatives is reported here. They were synthesized by Claisen–Schmidt reaction and were characterized by FTIR, NMR, and mass spectroscopy. Antioxidant activity is evaluated through four different methods namely, superoxide radical-scavenging, hydrogen peroxide scavenging, reducing power, and DPPH radical-scavenging assays. Generally, compounds with –SCH3 and –OCH3 in the para position of the A-ring and –OH in the B-ring were more active than others. In few cases some of the compounds were more active than ascorbic acid or butylated hydroxytoluene. QSAR was developed correlating the antioxidant activity with the structural features of the compounds and the predictive capability of the models was estimated using internal and external validation methods. All the predictions were within the 99% confidence level. Spatial, structural, and lipophilic properties of the compounds determine their antioxidant properties.