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Dive into the research topics where Vijjulatha Manga is active.

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Featured researches published by Vijjulatha Manga.


Bioorganic & Medicinal Chemistry Letters | 2012

Design, synthesis, molecular docking and biological evaluation of new dithiocarbamates substituted benzimidazole and chalcones as possible chemotherapeutic agents.

Keerthana Bacharaju; Swathi Reddy Jambula; Sreekanth Sivan; Saritha JyostnaTangeda; Vijjulatha Manga

A series of novel dithiocarbamates with benzimidazole and chalcone scaffold have been designed synthesised and evaluated for their antimitotic activity. Compounds 4c and 9d display the most promising antimitotic activity with IC(50) of 1.66 μM and 1.52 μM respectively.


Bioorganic & Medicinal Chemistry Letters | 2015

Synthesis, antimicrobial activity and molecular docking of novel tetracyclic scaffolds incorporating a flavonoid framework with medium sized oxygen heterocycles.

Ashok Dongamanti; Vikas Kumar Aamate; Mohan Gandhi Devulapally; Srinivas Gundu; Meena Kumari Kotni; Vijjulatha Manga; Sridhar Balasubramanian; Prasad Ernala

A convenient approach for the synthesis of novel tetracyclic scaffolds incorporating a flavonoid framework with medium sized heterocyclic rings (eight-, nine-, ten- and eleven-membered rings) containing two oxygen atoms from flavonols through alkylation using different dibromoalkanes was described. The synthesized compounds were established based on the spectral data and X-ray crystal structure for 6c. The synthesized compounds were evaluated for their in vitro antimicrobial activity. Docking studies were carried out for most active two compounds 6f and 6i.


Journal of Receptors and Signal Transduction | 2012

Molecular docking and 3D-QSAR studies on inhibitors of DNA damage signaling enzyme human PARP-1

Sabiha Fatima; Raju Bathini; Sree Kanth Sivan; Vijjulatha Manga

Poly (ADP-ribose) polymerase-1 (PARP-1) operates in a DNA damage signaling network. Molecular docking and three dimensional-quantitative structure activity relationship (3D-QSAR) studies were performed on human PARP-1 inhibitors. Docked conformation obtained for each molecule was used as such for 3D-QSAR analysis. Molecules were divided into a training set and a test set randomly in four different ways, partial least square analysis was performed to obtain QSAR models using the comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). Derived models showed good statistical reliability that is evident from their r2, q2loo and r2pred values. To obtain a consensus for predictive ability from all the models, average regression coefficient r2avg was calculated. CoMFA and CoMSIA models showed a value of 0.930 and 0.936, respectively. Information obtained from the best 3D-QSAR model was applied for optimization of lead molecule and design of novel potential inhibitors.


Journal of Molecular Modeling | 2012

Multiple receptor conformation docking and dock pose clustering as tool for CoMFA and CoMSIA analysis – a case study on HIV-1 protease inhibitors

Sree Kanth Sivan; Vijjulatha Manga

AbstractMultiple receptors conformation docking (MRCD) and clustering of dock poses allows seamless incorporation of receptor binding conformation of the molecules on wide range of ligands with varied structural scaffold. The accuracy of the approach was tested on a set of 120 cyclic urea molecules having HIV-1 protease inhibitory activity using 12 high resolution X-ray crystal structures and one NMR resolved conformation of HIV-1 protease extracted from protein data bank. A cross validation was performed on 25 non-cyclic urea HIV-1 protease inhibitor having varied structures. The comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) models were generated using 60 molecules in the training set by applying leave one out cross validation method, rloo2 values of 0.598 and 0.674 for CoMFA and CoMSIA respectively and non-cross validated regression coefficient r2 values of 0.983 and 0.985 were obtained for CoMFA and CoMSIA respectively. The predictive ability of these models was determined using a test set of 60 cyclic urea molecules that gave predictive correlation (rpred2) of 0.684 and 0.64 respectively for CoMFA and CoMSIA indicating good internal predictive ability. Based on this information 25 non-cyclic urea molecules were taken as a test set to check the external predictive ability of these models. This gave remarkable out come with rpred2 of 0.61 and 0.53 for CoMFA and CoMSIA respectively. The results invariably show that this method is useful for performing 3D QSAR analysis on molecules having different structural motifs. FigureSchematic representation of the multiple receptor conformation docking, clustering and 3D QSAR. Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices (CoMSIA) analysis is an exceptional tool for understanding the structure activity relations of molecules towards their biological activities. Receptor binding conformation of the molecule gives an added advantage to understand ligand receptor interactions required for bioactivity. There are different methods employed for obtaining the receptor based alignment of the molecules, but this method is limited to molecules having common substructure. Here we describe the new approach of multiple receptors conformation docking (MRCD) and clustering of dock poses that allows seamless incorporation of receptor binding conformation of the molecules on wide range of molecules with varied structural scaffold.


Journal of Biomolecular Structure & Dynamics | 2018

Molecular dynamics and MM/GBSA-integrated protocol probing the correlation between biological activities and binding free energies of HIV-1 TAR RNA inhibitors

Saikiran Reddy Peddi; Sree Kanth Sivan; Vijjulatha Manga

The interaction of HIV-1 transactivator protein Tat with its cognate transactivation response (TAR) RNA has emerged as a promising target for developing antiviral compounds and treating HIV infection, since it is a crucial step for efficient transcription and replication. In the present study, molecular dynamics (MD) simulations and MM/GBSA calculations have been performed on a series of neamine derivatives in order to estimate appropriate MD simulation time for acceptable correlation between ΔG bind and experimental pIC50 values. Initially, all inhibitors were docked into the active site of HIV-1 TAR RNA. Later to explore various conformations and examine the docking results, MD simulations were carried out. Finally, binding free energies were calculated using MM/GBSA method and were correlated with experimental pIC50 values at different time scales (0–1 to 0–10 ns). From this study, it is clear that in case of neamine derivatives as simulation time increased the correlation between binding free energy and experimental pIC50 values increased correspondingly. Therefore, the binding energies which can be interpreted at longer simulation times can be used to predict the bioactivity of new neamine derivatives. Moreover, in this work, we have identified some plausible critical nucleotide interactions with neamine derivatives that are responsible for potent inhibitory activity. Furthermore, we also provide some insights into a new class of oxadiazole-based back bone cyclic peptides designed by incorporating the structural features of neamine derivatives. On the whole, this approach can provide a valuable guidance for designing new potent inhibitors and modify the existing compounds targeting HIV-1 TAR RNA.


Computational Biology and Chemistry | 2016

Molecular docking, 3D QSAR and dynamics simulation studies of imidazo-pyrrolopyridines as janus kinase 1 (JAK 1) inhibitors

Ramesh Itteboina; Srilata Ballu; Sree Kanth Sivan; Vijjulatha Manga

Janus kinase 1 (JAK 1) plays a critical role in initiating responses to cytokines by the JAK-signal transducer and activator of transcription (JAK-STAT). This controls survival, proliferation and differentiation of a variety of cells. Docking, 3D quantitative structure activity relationship (3D-QSAR) and molecular dynamics (MD) studies were performed on a series of Imidazo-pyrrolopyridine derivatives reported as JAK 1 inhibitors. QSAR model was generated using 30 molecules in the training set; developed model showed good statistical reliability, which is evident from r2ncv and r2loo values. The predictive ability of this model was determined using a test set of 13 molecules that gave acceptable predictive correlation (r2Pred) values. Finally, molecular dynamics simulation was performed to validate docking results and MM/GBSA calculations. This facilitated us to compare binding free energies of cocrystal ligand and newly designed molecule R1. The good concordance between the docking results and CoMFA/CoMSIA contour maps afforded obliging clues for the rational modification of molecules to design more potent JAK 1 inhibitors.


Medicinal Chemistry Research | 2015

Molecular docking and MM/GBSA integrated protocol for designing small molecule inhibitors against HIV-1 gp41

Ramakrishna Munnaluri; Sree Kanth Sivan; Vijjulatha Manga

Human immunodeficiency virus type-1 (HIV-1) enters into the host cell using its non-covalently bonded envelope glycoproteins 120 and 41 (gp120 and gp41). HIV-1 gp41 plays an instrumental role in the membrane fusion and entry of viral genome into the host cytosol. Binding of virus to host cell receptors triggers a cascade of conformational changes in gp120 and gp41. During the fusion, core of gp41 comprising C-heptad repeat coils into the highly conserved, deep hydrophobic pocket of N-heptad repeat forming a six-helix bundle (6-HB). The apposition of the host cell membrane and viral membrane is initiated with the formation of 6-HB. The inhibition of 6-HB formation has been proved to be an effective way to thwart the viral and host cell fusion. In this work, we have performed computational study on 62 6-HB formation inhibitors reported in the literature. An integrated computational protocol using molecular docking and molecular mechanics/generalized born surface area calculations was employed to these known inhibitors to understand mode of interaction with receptor. Our study revealed reasonably good agreement between computational parameters and experimental inhibitory potentials of these molecules. The results encouraged us to design novel gp41 6-HB formation inhibitors.


Journal of Receptors and Signal Transduction | 2017

Molecular modeling-driven approach for identification of Janus kinase 1 inhibitors through 3D-QSAR, docking and molecular dynamics simulations

Ramesh Itteboina; Srilata Ballu; Sree Kanth Sivan; Vijjulatha Manga

Abstract Janus kinase 1 (JAK 1) belongs to the JAK family of intracellular nonreceptor tyrosine kinase. JAK-signal transducer and activator of transcription (JAK-STAT) pathway mediate signaling by cytokines, which control survival, proliferation and differentiation of a variety of cells. Three-dimensional quantitative structure activity relationship (3 D-QSAR), molecular docking and molecular dynamics (MD) methods was carried out on a dataset of Janus kinase 1(JAK 1) inhibitors. Ligands were constructed and docked into the active site of protein using GLIDE 5.6. Best docked poses were selected after analysis for further 3 D-QSAR analysis using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) methodology. Employing 60 molecules in the training set, 3 D-QSAR models were generate that showed good statistical reliability, which is clearly observed in terms of r2ncv and q2loo values. The predictive ability of these models was determined using a test set of 25 molecules that gave acceptable predictive correlation (r2Pred) values. The key amino acid residues were identified by means of molecular docking, and the stability and rationality of the derived molecular conformations were also validated by MD simulation. The good consonance between the docking results and CoMFA/CoMSIA contour maps provides helpful clues about the reasonable modification of molecules in order to design more efficient JAK 1 inhibitors. The developed models are expected to provide some directives for further synthesis of highly effective JAK 1 inhibitors.


Bioorganic & Medicinal Chemistry Letters | 2017

A novel piperazine linked β-amino alcohols bearing a benzosuberone scaffolds as anti-proliferative agents

Sowmya Vanguru; Lavanya Jilla; Yasodakrishna Sajja; Rajashaker Bantu; Lingaiah Nagarapu; Jagadeesh Babu Nanubolu; Bala Bhaskar; Nishant Jain; Sreekanth Sivan; Vijjulatha Manga

A new series of 1-((9-chloro-2,3-dimethyl-6,7-dihydro-5H-benzo[7]annulen-8-yl)methoxy)-3-(4-phenylpiperzin-1-yl) propan-2-ols (6a-k) have been designed, synthesized and their structures were established by spectroscopic data (FT-IR, 1H NMR, 13C NMR, HRMS) and further confirmed by X-ray analysis. The newly synthesized compounds 6a-k were evaluated for their in vitro anti-proliferative activity against four cancer cell lines such as HeLa (cervical), MDA-MB-231 (breast), A549 (lung) and MIAPACA (pancreatic). Among the compounds tested, the compound 6e displayed most potent activity against four cancer cell lines with GI50 values ranging from 0.010 to 0.097μM. The structure and anti-proliferative activity relationship was further supported by in silico molecular docking study of the active compounds against Colchicine binding site of β-tubulin.


Bioorganic & Medicinal Chemistry Letters | 2016

Quinazolinones-Phenylquinoxaline hybrids with unsaturation/saturation linkers as novel anti-proliferative agents.

Jyothsna Devi Palem; Gopi Reddy Alugubelli; Rajashaker Bantu; Lingaiah Nagarapu; Sowjanya Polepalli; S. Nishanth Jain; Raju Bathini; Vijjulatha Manga

A new series of novel quinazolinones with allylphenyl quinoxaline hybrids 9a-n were efficiently synthesized in good yields by the reaction of 3-allyl-2-methylquinazolin-4(3H)-one (5a-n) with bromophenyl)quinoxaline (8) utilizing Pd catalyzed Heck-cross coupling and evaluated for anti-proliferative activity against four cancer cell lines such as HeLa (cervical), MIAPACA (pancreatic), MDA-MB-231 (breast) and IMR32 (neuroblastoma). Compounds 9a, 9e, 9g and 9h exhibited promising anti-proliferative activity with GI50 values ranging from 0.06 to 0.2μM against four cell lines, while compounds 9e and 9k showed significant activity against HeLa and MIAPACA cell lines and compounds 9b, 9d, 9h and 9j showed selective potency against IMR32 and MDA-MB-231 cell lines. This is the first report on the synthesis and in vitro anti-proliferative evaluation of E-2-(4-substituted)-3-(3-(4-(quinoxalin-2-yl)phenyl)allyl)quinazolin-4(3H)-ones (9a-n). Docking results indicate a sign of good correlation between experimental activity and calculated binding affinity (dock score), suggesting that these compounds could act as promising DNA intercalates.

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Lingaiah Nagarapu

Indian Institute of Chemical Technology

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