Syringic acid (SA) ‒ A Review of Its Occurrence, Biosynthesis, Pharmacological and Industrial Importance.

The use of phytochemicals in control of human diseases have been considerable public and scientific interest in current days. Syringic acid (SA), a phenolic compound often found in fruits and vegetables and which is synthesized via shikimic acid pathway in plants. It shows a wide range of therapeutic applications in prevention of diabetes, CVDs, cancer, cerebral ischemia; as well as it possess anti-oxidant, antimicrobial, anti-inflammatory, antiendotoxic, neuro and hepatoprotective activities. It has an effective free radical scavenger and alleviates the oxidative stress markers. The therapeutic property of SA is attributed by the presence of methoxy groups onto the aromatic ring at positions 3 and 5. The strong antioxidant activity of SA may confer its beneficial effects for human health. SA has the potential to modulate enzyme activity, protein dynamics and diverse transcription factors involved in diabetes, inflammation, cancer and angiogenesis. In vivo experimental data and histopathological studies on SA activity has delineated its possible therapeutic mechanisms. Besides usage in biomedical field, SA has greater industrial applications in bioremediation, photocatalytic ozonation, and laccase based catalysis. The present review deals about SA natural sources, biosynthesis, bioavailability, biomedical applications (in vivo and in vito. The review addresses basic information about molecular mechanisms, therapeutic and industrial potential of SA.

A new insight into identification of in silico analysis of natural compounds targeting GPR120.

G-protein coupled receptor (GPR120) is an omega-3 fatty acid receptor that inhibits macrophage-induced tissue inflammation. Recent studies revealed GPR120 promotes colorectal carcinoma through modulation of VEGF, IL-8, PGE2, and NF-kB expression. However, three-dimensional structure of GPR120 is not yet available in Protein Data Bank (PDB). In the present study, we focused on a 3-D structural model of GPR120 has been constructed using homology modeling techniques. The structural quality of the predicted GPR120 model was verified using Procheck, Whatif, ProSA, and Verify 3D. After this chemical database of natural compounds have been constructed and screened for its druggability using molinspiration server. Molecular docking studies of natural compounds on GPR120 model revealed that silibinin (- 6.87 kcal/mol), withanolide (- 6.19 kcal/mol), limonene (- 6.17 kcal/mol), and cervical (- 6.15 kcal/mol) have shown good docking interactions with active site residues of the target. Active site residues of Arg280, Asp275, and Gly122 showed hydrogen-bonding interactions with predicted compounds. Based on these in silico findings, we proposed that virtual screening of natural compounds against of GPR120 is a novel approach to find potential anti-colorectal cancer therapeutics.

Exploring the Binding Affinity of Novel Syringic Acid Analogues and Critical Determinants of Selectivity as Potent Proteasome Inhibitors.

Syringic acid, a known plant phenolic compound and its analogues are known to possess high proteasome inhibitory activity. In the current work, we describe synthesis, characterization, DFT, docking of syringic acid (SA) and analogues (SAA1 and SAA2) and biological effects were studied. Syringic acid and its analogues were docked for the first time with the crystal structures of ß5 proteasome of diverse eukaryotic organisms. Among all proteasomes, the humanoid proteasome showed the highest degree of docking conformation and low inhibition constant (Ki). SAA2 specifically displayed binding to the N-terminal Thr1 residue in the S1 pocket of Mus musculus ß5 proteasome along with threonine, lysine and arginine; conventionally involved major amino acid residues in ligand binding. The geometrical properties (B3LYP/6- 31g (d, p)) and electrostatic potentials of molecules were computed using DFT calculations. A detailed molecular picture of the compounds and its interactions was obtained from NBO analysis. SA-analogues elucidated potent antioxidant activities and good antibacterial activity. In-vitro DNA binding studies revealed that all molecules had strong binding at the major groove of dsDNA. In the view of medical applicability, proteasome inhibition is an important therapeutic strategy for various types of cancers. Therefore, current discoveries may encourage the rational design and development of new chemical entities of syringic acid based chemotherapeutics.

Inhibition of Mycobacterium-RmlA by Molecular Modeling, Dynamics Simulation, and Docking.

The increasing resistance to anti-tb drugs has enforced strategies for finding new drug targets against Mycobacterium tuberculosis (Mtb). In recent years enzymes associated with the rhamnose pathway in Mtb have attracted attention as drug targets. The present work is on α-D-glucose-1-phosphate thymidylyltransferase (RmlA), the first enzyme involved in the biosynthesis of L-rhamnose, of Mtb cell wall. This study aims to derive a 3D structure of RmlA by using a comparative modeling approach. Structural refinement and energy minimization of the built model have been done with molecular dynamics. The reliability assessment of the built model was carried out with various protein checking tools such as Procheck, Whatif, ProsA, Errat, and Verify 3D. The obtained model investigates the relation between the structure and function. Molecular docking interactions of Mtb-RmlA with modified EMB (ethambutol) ligands and natural substrate have revealed specific key residues Arg13, Lys23, Asn109, and Thr223 which play an important role in ligand binding and selection. Compared to all EMB ligands, EMB-1 has shown better interaction with Mtb-RmlA model. The information thus discussed above will be useful for the rational design of safe and effective inhibitors specific to RmlA enzyme pertaining to the treatment of tuberculosis.

Experimental and computational studies on newly synthesized resveratrol derivative: a new method for cancer chemoprevention and therapeutics?

Nature has been a provenance of medicinal agents for thousands of years. Resveratrol (RESL) is a naturally occurring polyphenolic compound in food stuffs such as peanuts, seeds, berries, grapes, and beverages (red wine). RESL has received significant attention due to a plethora of in vitro and in vivo reports on its cancer chemopreventive and therapeutic properties. In the present study, diacetate RESL derivative (RESL43) was synthesized. The RESL43 displayed potent cytotoxicity and triggered apoptosis in U937 cells as evidenced by poly (ADP-ribose) polymerase (PARP) cleavage, DNA fragmentation, morphological changes, and activation of FasR and FasL genes. The electrophoretic mobility shift assay revealed the suppression NFkB activity in U937 cells after treatment with RESL43 in corroboration with the deactivation of NFkB dependent genes such as IL-8, TNFR, and TNFα. Furthermore, molecular docking and dynamics studies have shown that RESL and RESL43 might exert their inhibitory activity on NFkB by altering the intramolecular binding abilities between DNA and NFkB. Taken together, RESL43 can have greater putative activity than parental RESL in a context of cancer chemoprevention and therapeutics. We suggest that the diacetate resveratrol derivative RESL43 warrants further evaluation in preclinical and clinical bridging studies in the near future.

Synthesis and evaluation of resveratrol derivatives as new chemical entities for cancer.

Resveratrol has been shown to be active in inhibiting multistage carcinogenesis. The potential use of resveratrol in cancer chemoprevention or chemotherapy settings has been hindered by its short half-life and low bioavailability. Considering the above remarks, using resveratrol as a prototype, we have synthesized two derivatives of resveratrol. Their activity was evaluated using in vitro and in silico analysis. Biological evaluation of resveratrol analogues on U937 cells had shown that two synthesized analogues of resveratrol had higher rates of inhibition than the parental molecule at 10µM concentration. EMSA conducted for NF-kB revealed that these molecules significantly interfered in the DNA binding ability of NF-kB. It was found that these molecules suppressed the expression of TNFα, TNFR, IL-8, actin and activated the expression of FasL, FasR genes. To understand possible molecular mechanism of the action we performed docking and dynamic studies, using NF-kB as a receptor. Results showed that resveratrol, RA1 and RA2 interacted with the residues involved in DNA binding. Resveratrol analogues by interacting NF-kB might have prevented its translocation and also by interacting with the residues involved in DNA binding might have prevented the binding of NF-kB to DNA. This may be the reason for suppression of NF-kB binding to DNA.

Molecular characterization of Mtb-OMP decarboxylase by modeling, docking and dynamic studies.

Tuberculosis (TB), the second most deadly disease in the world is caused by Mycobacterium tuberculosis (Mtb). In the present work a unique enzyme of Mtb orotidine 5' monophosphate decarboxylase (Mtb-OMP Decase) is selected as drug target due to its indispensible role in biosynthesis of pyrimidines. The present work is focused on understanding the structural and functional aspects of Mtb-OMP Decase at molecular level. Due to absence of crystal structure, the 3D structure of Mtb-OMP Decase was predicted by MODELLER9V7 using a known structural template 3L52. Energy minimization and refinement of the developed 3D model was carried out with Gromacs 3.2.1 and the optimized homology model was validated by PROCHECK,WHAT-IF and PROSA2003. Further, the surface active site amino acids were quantified by WHAT-IF pocket. The exact binding interactions of the ligands, 6-idiouridine 5' monophosphate and its designed analogues with the receptor Mtb-OMP Decase were predicted by docking analysis with AUTODOCK 4.0. This would be helpful in understanding the blockade mechanism of OMP Decase and provide a candidate lead for the discovery of Mtb-OMP Decase inhibitors, which may bring insights into outcome new therapy to treat drug resistant Mtb.

Comprehensive structural and functional characterization of Mycobacterium tuberculosis UDP-NAG enolpyruvyl transferase (Mtb-MurA) and prediction of its accurate binding affinities with inhibitors.

Tuberculosis (TB) remains the most frequent and important infectious disease causing morbidity and death in the world. One third of the world's population is infected with Mycobacterium tuberculosis (Mtb), the etiologic agent of TB. The bacterial enzyme MurA catalyzes the transfer of enolpyruvate from phosphoenolpyruvate (PEP) to uridine diphospho-N-acetylglucosamine (UNAG), which is the first committed step of bacterial cell wall biosynthesis. In this work, 3D structure model of Mtb-MurA enzyme has been developed for the first time by homology modeling and molecular dynamics simulation techniques. Multiple sequence alignment and 3D structure model provided the putative substrate binding pocket of Mtb-MurA with respect to E. coli MurA. This analysis was helpful in identifying the binding sites and molecular function of the MurA homologue. Molecular docking study was performed on this 3D structure model, using different classes of inhibitors like fosfomycin, cyclic disulfide analog RWJ-3981, pyrazolopyrimidine analog RWJ-110192, purine analog RWJ-140998, 5-sulfonoxy-anthranilic acid derivatives T6361, T6362 and the results showed that the 5-sulfonoxyanthranilic acid derivatives showed the best interaction compared to other inhibitors. We also designed new efficient analogs of T6361 and T6362 which showed even better interaction with Mtb-MurA than the parental 5-sulfonoxy-anthranilic acid derivatives. Further the comparative molecular electrostatic potential and cavity depth analysis of Mtb-MurA suggested several important differences in its substrate and inhibitor binding pocket. Such differences could be exploited in the future for designing a more specific inhibitor for Mtb-MurA enzyme.

Exploring the molecular basis for selective binding of Mycobacterium tuberculosis Asp kinase toward its natural substrates and feedback inhibitors: a docking and molecular dynamics study.

Tuberculosis (TB) is still a major public health problem, compounded by the human immunodeficiency virus (HIV)-TB co-infection and recent emergence of multidrug-resistant (MDR) and extensively drug resistant (XDR)-TB. In this context, aspartokinase of mycobacterium tuberculosis has drawn attention for designing novel anti-TB drugs. Asp kinase is an enzyme responsible for the synthesis of 4-phospho-L-aspartate from L-aspartate and involved in the branched biosynthetic pathway leading to the synthesis of amino acids lysine, threonine, methionine and isoleucine. An intermediate of lysine biosynthetic branch, mesodiaminopimelate is also a component of the peptidoglycan which is a component of bacterial cell wall. To interfere with the production of all these amino acids and cell wall, it is possible to inhibit Asp kinase activity. This can be achieved using Asp kinase inhibitors. In order to design novel Asp kinase inhibitors as effective anti-TB drugs, it is necessary to have an understanding of the binding sites of Asp kinase. As no crystal structure of the enzyme has yet been published, we built a homology model of Asp kinase using the crystallized Asp kinase from M. Jannaschii, as template structures (2HMF and 3C1M). After the molecular dynamics refinement, the optimized homology model was assessed as a reliable structure by PROCHECK, ERRAT, WHAT-IF, PROSA2003 and VERIFY-3D. The results of molecular docking studies with natural substrates, products and feedback inhibitors are in agreement with the published data and showed that ACT domain plays an important role in binding to ligands. Based on the docking conformations, pharmacophore model can be developed by probing the common features of ligands. By analyzing the results, ACT domain architecture, certain key residues that are responsible for binding to feedback inhibitors and natural substrates were identified. This would be very helpful in understanding the blockade mechanism of Asp kinase and providing insights into rational design of novel Asp kinase inhibitors for M.tuberculosis.

Probing ligand binding modes of Mycobacterium tuberculosis MurC ligase by molecular modeling, dynamics simulation and docking.

Multi drug resistance capacity for Mycobacterium tuberculosis (MDR-Mtb) demands the profound need for developing new anti-tuberculosis drugs. The present work is on Mtb-MurC ligase, which is an enzyme involved in biosynthesis of peptidoglycan, a component of Mtb cell wall. In this paper the 3-D structure of Mtb-MurC has been constructed using the templates 1GQQ and 1P31. Structural refinement and energy minimization of the predicted Mtb-MurC ligase model has been carried out by molecular dynamics. The streochemical check failures in the energy minimized model have been evaluated through Procheck, Whatif ProSA, and Verify 3D. Further torsion angles for the side chains of amino acid residues of the developed model were determined using Predictor. Docking analysis of Mtb-MurC model with ligands and natural substrates enabled us to identify specific residues viz. Gly125, Lys126, Arg331, and Arg332, within the Mtb-MurC binding pocket to play an important role in ligand and substrate binding affinity and selectivity. The availability of Mtb-MurC ligase built model, together with insights gained from docking analysis will promote the rational design of potent and selective Mtb-MurC ligase inhibitors as antituberculosis therapeutics.

Insights from Streptococcus pneumoniae glucose kinase structural model.

Streptococcus pneumonia is the common cause of sepsis and meningitis. Emergence of multiple antibiotic resistant strains in the community-acquired bacterium is catastrophic. Glucose kinase (GLK) is a regulatory enzyme capable of adding phosphate group to glucose in the first step of streptomycin biosynthesis. The activity of glucose kinase was regulated by the Carbon Catabolite Repression (CCR) system. Therefore, it is important to establish the structure-function relation of GLK in S. pneumoniae. However, a solved structure for S. pneumoniae GLK is not available at the protein data bank (PDB). Therefore, we created a model of GLK from S. pnemoniae using the X-ray structure of Glk from E. faecalis as template with MODELLER (a comparative modeling program). The model was validated using protein structure checking tools such as PROCHECK, WHAT IF and ProSA for reliability. The active site amino acid Asp114 in the template is retained in S. pneumoniae GLK model (Asp115). Solvent accessible surface area (ASA) analysis of the GLK model showed that known key residues playing important role in active site for ligand binding and metal ion binding are buried and hence not accessible to solvent. The information thus discussed provides insight to the molecular understanding of glucose kinase in S. pneumoniae.